Cloud networking is the use of cloud-based services to connect an organization's resources, applications, and employees. It's a type of IT infrastructure that allows organizations to use virtual network components instead of physical hardware.
Storage Device & Usage Monitor in Cloud Computing.pdfHitesh Mohapatra
A "Storage Device & Usage Monitor" in cloud computing refers to a tool or feature that tracks and analyzes the performance and usage of storage devices within a cloud infrastructure, providing insights into metrics like disk space utilization, read/write speeds, data access patterns, and potential storage bottlenecks, allowing administrators to optimize data storage and manage capacity effectively.
In cloud computing, "Resource Replication" refers to the process of creating multiple identical copies of a computing resource (like a server or database) to enhance availability and fault tolerance, while an "Automated Scaling Listener" is a service agent that constantly monitors workload demands and automatically triggers the creation or deletion of these replicated resources based on predefined thresholds, essentially allowing for dynamic scaling of applications to meet fluctuating traffic needs.
The life cycle of a virtual machine (VM) provisioning processHitesh Mohapatra
The life cycle of a virtual machine (VM) provisioning process includes the following stages:
Creation: The VM is created
Configuration: The VM is configured in a development environment
Allocation: Virtual resources are allocated
Exploitation and monitoring: The VM is used and its status is monitored
Elimination: The VM is eliminated
Web services in cloud computing are technologies that enable communication between different applications over the internet using standard protocols like HTTP, XML, or JSON. They allow systems to access and exchange data remotely, enabling seamless integration, scalability, and flexibility in cloud-based environments.
Server Consolidation in Cloud Computing EnvironmentHitesh Mohapatra
Server consolidation in cloud computing refers to the practice of reducing the number of physical servers by combining workloads onto fewer, more powerful virtual machines or cloud instances. This approach improves resource utilization, reduces operational costs, and enhances scalability while maintaining performance and reliability in cloud environments.
Multitenancy in cloud computing is a software architecture that allows multiple customers to share a single cloud instance. In this model, each customer, or tenant, has their own secure virtual application instance, even though they share the same resources.
A logical network perimeter in cloud computing is a virtual boundary that separates a group of cloud-based IT resources from the rest of the network. It can be used to isolate resources from unauthorized users, control bandwidth, and more.
Resource replication in cloud computing is the process of making multiple copies of the same resource. It's done to improve the availability and performance of IT resources.
In early 2019, Microsoft created the AZ-900 Microsoft Azure Fundamentals certification. This is a certification for all individuals, IT or non IT background, who want to further their careers and learn how to navigate the Azure cloud platform.
Learn about AZ-900 exam concepts and how to prepare and pass the exam
Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cloud computing provides convenient, on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It provides an abstraction between computing resources and their underlying technical architecture, enabling flexible network access.
One can Study the key concept of Virtualization, its types, why Virtualization and what are the use cases and Benefits of Virtualization and example of Virtualization.
The document summarizes key points from a presentation on cloud security standards. It discusses the benefits of standards in promoting interoperability and regulatory compliance. It analyzes the current landscape of standards, including specifications, advisory standards, and security frameworks. It also provides recommendations for 10 steps customers can take to evaluate a cloud provider's security, including ensuring governance and compliance, auditing processes, managing access controls, and assessing physical infrastructure security. The document recommends cloud security standards and certifications customers should expect providers to support.
This document discusses content delivery networks (CDNs). It defines a CDN as a system that accelerates delivery of web content globally using caching servers located near users. The key components of a CDN are origin servers, edge caching servers, a request routing system, a content distribution system, and an accounting system. The document outlines the evolution of CDNs through 3 generations and describes common CDN services like web acceleration, streaming, server-side processing, and protection against failures. It discusses types of CDNs, their advantages like faster loading and reduced server load, and disadvantages like costs and lack of direct control.
This document provides an overview of cloud databases. It defines a cloud database as a database that runs on cloud computing platforms and is accessed as a service. There are two primary methods to run databases in the cloud: using virtual machine images or database-as-a-service (DBaaS). DBaaS allows users to avoid installing and maintaining databases themselves. The document outlines the architecture of cloud databases and characteristics like high availability. It lists advantages such as low cost, easy access to data from anywhere, and simple data sharing. Security issues with cloud databases are also noted.
What is Virtualization and its types & Techniques.What is hypervisor and its ...Shashi soni
This PPT contains Following Topics-
1.what is virtualization?
2.Examples of virtualization.
3.Techniques of virtualization.
4.Types of virtualization.
5.What is Hipervisor.
6.Types of Hypervisor with Diagrams.
Some set of examples are there like Virtual Box with demo image.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
SDDC is the modern approach in implementing and managing cloud data centers. Software-defined data center technology helps attain new levels of infrastructure utilization and staff productivity, substantially reducing both capital expenditures and operating costs. Enabling deployment of applications in minutes or even seconds with policy-driven provisioning that dynamically matches resources to continually changing workloads and business demands.
This presentation provides an overview of cloud computing, including:
1. Cloud computing allows on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet.
2. Key features of cloud computing include scalability, availability, agility, cost-effectiveness, and device/location independence.
3. Popular cloud storage services include Google Drive, Dropbox, and Apple iCloud which offer free basic storage with options to pay for additional storage.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
This document discusses distributed file systems. It begins by defining key terms like filenames, directories, and metadata. It then describes the goals of distributed file systems, including network transparency, availability, and access transparency. The document outlines common distributed file system architectures like client-server and peer-to-peer. It also discusses specific distributed file systems like NFS, focusing on their protocols, caching, replication, and security considerations.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Cloud Aggregation: Smart Access to a Smarter CloudExponential_e
The noise in the market is all about placing data in the cloud – security,
compliance and risk. However, a good cloud strategy is underpinned with the network providing the access to cloud services and providers. How secure is the route to the cloud, is the infrastructure fit for purpose and is bandwidth scalable?
The document discusses cloud computing concepts, architectures, and research challenges. It describes the key layers of cloud computing including hardware, infrastructure, platform, and application layers. It also discusses cloud service models (IaaS, PaaS, SaaS), types of clouds (public, private, hybrid), and characteristics. Several research challenges are outlined including automated provisioning, VM migration, server consolidation, traffic management, data security, and developing efficient software frameworks and storage technologies for cloud environments.
Resource replication in cloud computing is the process of making multiple copies of the same resource. It's done to improve the availability and performance of IT resources.
In early 2019, Microsoft created the AZ-900 Microsoft Azure Fundamentals certification. This is a certification for all individuals, IT or non IT background, who want to further their careers and learn how to navigate the Azure cloud platform.
Learn about AZ-900 exam concepts and how to prepare and pass the exam
Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cloud computing provides convenient, on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It provides an abstraction between computing resources and their underlying technical architecture, enabling flexible network access.
One can Study the key concept of Virtualization, its types, why Virtualization and what are the use cases and Benefits of Virtualization and example of Virtualization.
The document summarizes key points from a presentation on cloud security standards. It discusses the benefits of standards in promoting interoperability and regulatory compliance. It analyzes the current landscape of standards, including specifications, advisory standards, and security frameworks. It also provides recommendations for 10 steps customers can take to evaluate a cloud provider's security, including ensuring governance and compliance, auditing processes, managing access controls, and assessing physical infrastructure security. The document recommends cloud security standards and certifications customers should expect providers to support.
This document discusses content delivery networks (CDNs). It defines a CDN as a system that accelerates delivery of web content globally using caching servers located near users. The key components of a CDN are origin servers, edge caching servers, a request routing system, a content distribution system, and an accounting system. The document outlines the evolution of CDNs through 3 generations and describes common CDN services like web acceleration, streaming, server-side processing, and protection against failures. It discusses types of CDNs, their advantages like faster loading and reduced server load, and disadvantages like costs and lack of direct control.
This document provides an overview of cloud databases. It defines a cloud database as a database that runs on cloud computing platforms and is accessed as a service. There are two primary methods to run databases in the cloud: using virtual machine images or database-as-a-service (DBaaS). DBaaS allows users to avoid installing and maintaining databases themselves. The document outlines the architecture of cloud databases and characteristics like high availability. It lists advantages such as low cost, easy access to data from anywhere, and simple data sharing. Security issues with cloud databases are also noted.
What is Virtualization and its types & Techniques.What is hypervisor and its ...Shashi soni
This PPT contains Following Topics-
1.what is virtualization?
2.Examples of virtualization.
3.Techniques of virtualization.
4.Types of virtualization.
5.What is Hipervisor.
6.Types of Hypervisor with Diagrams.
Some set of examples are there like Virtual Box with demo image.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
SDDC is the modern approach in implementing and managing cloud data centers. Software-defined data center technology helps attain new levels of infrastructure utilization and staff productivity, substantially reducing both capital expenditures and operating costs. Enabling deployment of applications in minutes or even seconds with policy-driven provisioning that dynamically matches resources to continually changing workloads and business demands.
This presentation provides an overview of cloud computing, including:
1. Cloud computing allows on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet.
2. Key features of cloud computing include scalability, availability, agility, cost-effectiveness, and device/location independence.
3. Popular cloud storage services include Google Drive, Dropbox, and Apple iCloud which offer free basic storage with options to pay for additional storage.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
This document discusses distributed file systems. It begins by defining key terms like filenames, directories, and metadata. It then describes the goals of distributed file systems, including network transparency, availability, and access transparency. The document outlines common distributed file system architectures like client-server and peer-to-peer. It also discusses specific distributed file systems like NFS, focusing on their protocols, caching, replication, and security considerations.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Cloud Aggregation: Smart Access to a Smarter CloudExponential_e
The noise in the market is all about placing data in the cloud – security,
compliance and risk. However, a good cloud strategy is underpinned with the network providing the access to cloud services and providers. How secure is the route to the cloud, is the infrastructure fit for purpose and is bandwidth scalable?
The document discusses cloud computing concepts, architectures, and research challenges. It describes the key layers of cloud computing including hardware, infrastructure, platform, and application layers. It also discusses cloud service models (IaaS, PaaS, SaaS), types of clouds (public, private, hybrid), and characteristics. Several research challenges are outlined including automated provisioning, VM migration, server consolidation, traffic management, data security, and developing efficient software frameworks and storage technologies for cloud environments.
This document outlines the course DCN 330 which covers data communication and network interconnectivity, including distinguishing network devices, analyzing network designs, quality of service, cloud computing, and gaining hands-on experience through lectures, labs, and a course project using tools like Cisco Packet Tracer and lab equipment. Students will be evaluated through exams, quizzes, lab assignments, and a course project presentation and report.
Cloud Computer and Computing Fundamentals.pptxSahilMemane1
Advanced Computer Networking refers to the study and application of complex networking concepts that go beyond the basics of connecting devices and systems. It involves in-depth knowledge of networking protocols, advanced routing and switching techniques, network security, wireless networking, network virtualization, and cloud networking. Advanced topics often include:
Routing and Switching: Advanced techniques such as BGP, OSPF, MPLS, and VLAN configurations for large-scale networks.
Network Security: Implementation of firewalls, VPNs, intrusion detection/prevention systems (IDS/IPS), and security policies to protect data integrity and privacy.
Wireless Networking: Management of large-scale wireless networks (Wi-Fi 6, mesh networks), and RF spectrum analysis for optimizing wireless coverage.
Virtualization and Cloud Networking: Use of software-defined networking (SDN), network function virtualization (NFV), and cloud-based services to enhance scalability and efficiency.
High Availability and Disaster Recovery: Techniques like network redundancy, load balancing, failover systems, and backup solutions to ensure uninterrupted network operations.
This field is crucial for designing, maintaining, and securing modern, high-performance enterprise networks.
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Here’s a more detailed description of Advanced Computer Networking with additional key topics:
Advanced IP Addressing & Subnetting: Delving into complex subnetting schemes, variable length subnet masking (VLSM), classless inter-domain routing (CIDR), and IPv6 configuration for efficient IP management in large-scale networks.
Quality of Service (QoS): Techniques to manage network traffic and ensure the reliable transmission of critical applications like VoIP and streaming media. This includes traffic prioritization, bandwidth management, and reducing latency for real-time services.
Network Automation: Automating repetitive network tasks using scripts and tools like Python, Ansible, or Cisco’s DevNet. Automation helps streamline configuration, deployment, and management of networks.
Network Monitoring & Management: Tools like SNMP, NetFlow, Wireshark, and cloud-based network monitoring services to continuously track network performance, identify bottlenecks, and troubleshoot issues in real-time.
Software-Defined Networking (SDN): A cutting-edge approach where network control is decoupled from hardware, allowing centralized and programmatic control over the network. This is pivotal in creating flexible, scalable, and easier-to-manage networks.
Data Center Networking: Focuses on the unique needs of data centers, involving the use of technologies such as FabricPath, Virtual Extensible LAN (VXLAN), and data center bridging (DCB) to provide low-latency, high-bandwidth interconnectivity for virtualized environments.
This is the 2nd defense of my Ph.D. double degree.
More details - https://kkpradeeban.blogspot.com/2019/08/my-phd-defense-software-defined-systems.html
This document provides an overview of edge computing. It discusses how edge computing addresses limitations of cloud computing by processing data closer to where it is generated, at the network edge, to reduce latency. This is achieved through technologies like cloudlets, which are small data centers located at the edge that cache and process data locally before transmitting to the cloud. The document outlines benefits of edge computing like improved performance, scalability, and privacy. It also introduces EdgeX and AWS Lambda@Edge as examples of edge computing platforms and frameworks.
Understanding the cloud computing stackSatish Chavan
Understanding the cloud computing stack
Introduction
Key characteristics
At Glance
Standardization, Migration &Adaptation
Service models
Deployment models
Network as a Service
Software as a Service (SaaS).
Platform as a Service (PaaS).
Infrastructure as a Service (IaaS).
Communications as a Service (CaaS)
Data as a Service - DaaS
Benefits & Challenges
Security Risks & Challenges
Cloud Vendors
This document provides an overview of the course "Cloud Computing" including details about the textbook, instructor, units, and topics covered. The first unit introduces cloud computing concepts such as the history, definitions, characteristics, benefits, and computing platforms/technologies including Amazon Web Services, Google AppEngine, and Microsoft Azure. It also discusses principles of parallel and distributed computing including eras of computing, differences between parallel and distributed models, and hardware architectures.
CCS335 - Cloud architecture model and infrastructureNiviV4
The document provides information on different cloud computing models and infrastructure. It discusses cluster computing, grid computing, peer-to-peer computing, and internet clouds. It defines key characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It also describes the three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Finally, it covers the different deployment models for cloud computing including public cloud, private cloud, hybrid cloud, and community cloud.
The document provides an overview of cloud computing, including definitions, comparisons to other computing models, key characteristics, service models, deployment models, cloud architectures, and some examples of cloud platforms like Windows Azure and Amazon Web Services. It discusses cloud computing concepts such as elastic compute units, Amazon S3 storage, operating systems supported on EC2, persistent storage options, elastic IP addresses, auto scaling, and monitoring with CloudWatch. The document also outlines some issues with cloud computing around privacy, open standards, security, sustainability, and potential for abuse.
Cloud computing unit three notes with aws azure Microsoft eucalyptus salesforce clod computing paradigms and Cloud computing is a revolutionary paradigm that has fundamentally transformed the way organizations access, manage, and deploy computing resources. At its core, cloud computing provides on-demand access to a shared pool of configurable computing resources, such as servers, storage, and applications, over the internet. This model offers a departure from traditional on-premise infrastructure, providing a more flexible and scalable approach to IT services.
One of the key characteristics of cloud computing is on-demand self-service. Users can provision and manage computing resources autonomously, without requiring human intervention from the service provider. This empowers organizations to dynamically adjust their computing capacity in response to changing workloads, optimizing resource utilization and cost efficiency.
The broad network access feature ensures that cloud services are accessible over the internet using standard mechanisms. This accessibility facilitates the use of cloud resources from a variety of devices, promoting mobility and flexibility in how users interact with computing resources. Whether accessing applications from a desktop computer or a mobile device, users benefit from the ubiquity provided by the cloud.Cloud computing has become an integral part of the modern IT landscape, offering benefits such as scalability, cost-efficiency, and accessibility. Organizations, ranging from startups to large enterprises, leverage cloud services to focus on their core business activities while outsourcing IT infrastructure and services to cloud providers. Despite the numerous advantages, challenges related to security, data privacy, and compliance must be carefully addressed to ensure a successful and secure cloud adoption strategy. As cloud computing continues to evolve, it is poised to play a central role in shaping the future of information technology.In terms of deployment models, public cloud services are available to anyone over the internet and are operated and owned by third-party cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Private clouds, on the other hand, are used exclusively by a single organization, providing greater control over security and customization. Hybrid clouds combine elements of both public and private clouds, allowing data and applications to be shared between themCloud computing services are broadly categorized into three main models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtualized computing resources, including virtual machines and storage. PaaS offers a platform that simplifies application development, deployment, and maintenance. SaaS delivers software applications over the internet, eliminating the need for users to install and manage the software locally.
Psdot 15 performance analysis of cloud computingZTech Proje
The document discusses performance analysis of cloud computing centers using queuing systems. It aims to evaluate key performance indicators like response time distribution and mean number of tasks using a queuing model. The proposed system models cloud server farms as COCOMO II systems to obtain more accurate estimations of performance metrics while addressing issues with existing models like high traffic intensity and service time variation. It analyzes how changing server numbers and buffer sizes impacts the performance indicators.
1) The document discusses quality of service (QoS)-aware data replication for data-intensive applications in cloud computing systems. It aims to minimize data replication cost and number of QoS violated replicas.
2) It presents a mathematical model and algorithm to optimally place QoS-satisfied and QoS-violated data replicas. The algorithm uses minimum-cost maximum flow to obtain the optimal placement.
3) The algorithm takes as input a set of requested nodes and outputs the optimal placement for QoS-satisfied and QoS-violated replicas by modeling the problem as a network flow graph and applying existing polynomial-time algorithms.
Project DRAC: Creating an applications-aware networkTal Lavian Ph.D.
Intelligent networking and the ability for applications to more effectively use all of the network’s capability, rather than just the transport “pipe,” have been elusive. Until now. Nortel has developed a proof-of-concept software capability — service-mediation “middleware” called the Dynamic Resource Allocation Controller (DRAC) — that runs on any Java platform and opens up the network to applications with proper credentials,making available all of the properties of a converged network, including service topology, time-of-day reservations, and interdomain connectivity options. With a more open network, applications can directly provision and invoke services, with no need for operator involvement or point-and click sessions. In its first real-world demonstrations in large research networks, DRAC is showing it can improve user satisfaction while reducing network operations and investment costs.
Introduction to Cloud Computing in Computer.pptAbolaji2
Cloud computing refers to delivering computing services over the internet. It allows users to access resources like storage, processing power, and software applications on-demand without needing local infrastructure. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud deployment models consist of public, private, and hybrid clouds which offer different levels of control, customization, and cost effectiveness. Common uses of cloud computing include data storage, software development, web applications, and disaster recovery.
In cloud computing, a "Resource Cluster" refers to a group of multiple computing resources (like servers, storage units) managed as a single entity to provide high availability and scalability, while a "Multi-Device Broker" acts as a intermediary that translates data formats and protocols to enable a cloud service to be accessed by a wide range of devices, even if they have different capabilities or communication standards; essentially acting as a compatibility layer between the cloud service and various client devices.
Uses established clustering technologies for redundancy
Boosts availability and reliability of IT resources
Automatically transitions to standby instances when active resources become unavailable
Protects mission-critical software and reusable services from single points of failure
Can cover multiple geographical areas
Hosts redundant implementations of the same IT resource at each location
Relies on resource replication for monitoring defects and unavailability conditions
Software product quality is how well a software product meets the needs of its users and developers. It's important to ensure high quality software, especially for safety-critical applications.
Software project management is an art and discipline of planning and supervis...Hitesh Mohapatra
Software in project management is dedicated to the planning, scheduling, resource allocation, execution, tracking, and delivery of software and web projects.
Part 2
Software project management is an art and discipline of planning and supervis...Hitesh Mohapatra
Software in project management is dedicated to the planning, scheduling, resource allocation, execution, tracking, and delivery of software and web projects.
Part 1
Inter-Cloud Architecture refers to the design and organization of cloud servicesHitesh Mohapatra
Inter-Cloud Architecture refers to the design and organization of cloud services across multiple cloud platforms. It facilitates communication, resource sharing, and service management between different cloud environments.
Use Bi-directional BFS/DFS to solve a navigation problem.
Problem Statement: Represent a city map as a graph where intersections are nodes and roads are edges. Find the shortest path between two locations.
Cloud integration with IoT enables seamless data collection, storage, and pro...Hitesh Mohapatra
Cloud integration with IoT enables seamless data collection, storage, and processing from connected devices, providing real-time insights and scalable infrastructure. It enhances device interoperability, allowing remote management, analytics, and automation across various IoT applications.
How to Build a Maze Solving Robot Using ArduinoCircuitDigest
Learn how to make an Arduino-powered robot that can navigate mazes on its own using IR sensors and "Hand on the wall" algorithm.
This step-by-step guide will show you how to build your own maze-solving robot using Arduino UNO, three IR sensors, and basic components that you can easily find in your local electronics shop.
Integration of Additive Manufacturing (AM) with IoT : A Smart Manufacturing A...ASHISHDESAI85
Combining 3D printing with Internet of Things (IoT) enables the creation of smart, connected, and customizable objects that can monitor, control, and optimize their performance, potentially revolutionizing various industries. oT-enabled 3D printers can use sensors to monitor the quality of prints during the printing process. If any defects or deviations from the desired specifications are detected, the printer can adjust its parameters in real time to ensure that the final product meets the required standards.
Pioneers in planning theories Sir Ebenezer HowardJnaneshPreethan
Sir Ebenezer Howard was born as the son
of a shopkeeper in the City of London, on
29th of January 1850.
• After schooling, he took on a number of
clerical posts.
• In 1871, he emigrated to the frontier
country of America to become a farmer.
• He subsequently spent four years living in
Chicago, witnessing it's rebuilding
following the great fire.
• It was during this time, he began to
contemplate ways to improve cities.
Engineering at Lovely Professional University (LPU).pdfSona
LPU’s engineering programs provide students with the skills and knowledge to excel in the rapidly evolving tech industry, ensuring a bright and successful future. With world-class infrastructure, top-tier placements, and global exposure, LPU stands as a premier destination for aspiring engineers.
"Zen and the Art of Industrial Construction"
Once upon a time in Gujarat, Plinth and Roofs was working on a massive industrial shed project. Everything was going smoothly—blueprints were flawless, steel structures were rising, and even the cement was behaving. That is, until...
Meet Ramesh, the Stressed Engineer.
Ramesh was a perfectionist. He measured bolts with the precision of a Swiss watchmaker and treated every steel beam like his own child. But as the deadline approached, Ramesh’s stress levels skyrocketed.
One day, he called Parul, the total management & marketing mastermind.
🛑 Ramesh (panicking): "Parul ma’am! The roof isn't aligning by 0.2 degrees! This is a disaster!"
🤔 Parul (calmly): "Ramesh, have you tried... meditating?"
🎤 Ramesh: "Meditating? Ma’am, I have 500 workers on-site, and you want me to sit cross-legged and hum ‘Om’?"
📢 Parul: "Exactly. Mystic of Seven can help!"
Reluctantly, Ramesh agreed to a 5-minute guided meditation session.
💨 He closed his eyes.
🧘♂️ He breathed deeply.
🔔 He chanted "Om Namah Roofaya" (his custom version of a mantra).
When he opened his eyes, a miracle happened!
🎯 His mind was clear.
📏 The roof magically aligned (okay, maybe the team just adjusted it while he was meditating).
😁 And for the first time, Ramesh smiled instead of calculating load capacities in his head.
✨ Lesson Learned: Sometimes, even in industrial construction, a little bit of mindfulness goes a long way.
From that day on, Plinth and Roofs introduced tea breaks with meditation sessions, and productivity skyrocketed!
Moral of the story: "When in doubt, breathe it out!"
#PlinthAndRoofs #MysticOfSeven #ZenConstruction #MindfulEngineering
Preliminary Evaluation of Inspection Assistance Methods Using VR Simulating P...Kurata Takeshi
In delivery processes from pharmaceutical wholesaler's sales offices to the client's facilities, which are the target of this case study, an assistance system using handheld devices and paper slips is used. The introduction of AR assistance systems is beginning to be investigated to improve operations in these processes. However, as AR is not yet highly accepted in Japanese industry, a VR environment has been constructed to enable the cycle consisting of prototyping, comparison with existing systems, and sharing the results with stakeholders as efficiently as possible. Based on the preliminary evaluation results in this VR environment, the reproducibility and effectiveness of the VR simulation as well as the superiority of the AR assistance method were confirmed. Furthermore, feedback from various sessions, including the demo session at ISMAR2024, provided insights into the importance of balancing conventional concepts and physical environments with digital assistance methods.
Welcome to the March 2025 issue of WIPAC Monthly the magazine brought to you by the LinkedIn Group WIPAC Monthly.
In this month's edition, on top of the month's news from the water industry we cover subjects from the intelligent use of wastewater networks, the use of machine learning in water quality as well as how, we as an industry, need to develop the skills base in developing areas such as Machine Learning and Artificial Intelligence.
Enjoy the latest edition
Lessons learned when managing MySQL in the CloudIgor Donchovski
Managing MySQL in the cloud introduces a new set of challenges compared to traditional on-premises setups, from ensuring optimal performance to handling unexpected outages. In this article, we delve into covering topics such as performance tuning, cost-effective scalability, and maintaining high availability. We also explore the importance of monitoring, automation, and best practices for disaster recovery to minimize downtime.
1. ISPs, Connectionless Packet Switching,
Router-based Interconnectivity in Cloud
Computing Environment
Dr Hitesh Mohapatra
Associate Professor
KIIT University
School of Computer Engineering
2. ISP
The role of Internet Service Providers (ISPs) in cloud computing is
critical, as they act as the backbone for enabling connectivity,
performance, and accessibility of cloud services.
3. Key functions
Network Connectivity
• ISPs provide the physical infrastructure (e.g., fiber optics, satellites,
wireless networks) that connects users and organizations to cloud
servers. Without reliable ISP services, accessing cloud platforms (e.g.,
AWS, Azure, Google Cloud) would be impossible.
Bandwidth and Latency Management
• Bandwidth: ISPs allocate the bandwidth required to transfer large volumes of
data between users and cloud servers (e.g., uploading files to Dropbox or
streaming via Netflix).
• Low Latency: ISPs optimize routing paths to reduce latency, which is crucial
for real-time cloud applications (e.g., video conferencing, online gaming, IoT
systems).
4. Cont.
Quality of Service (QoS)
• ISPs ensure consistent performance for cloud applications by prioritizing
traffic (e.g., VoIP or mission-critical cloud workloads) and minimizing
packet loss or jitter.
Edge Computing Support
• Modern ISPs collaborate with cloud providers to deploy edge computing
nodes (e.g., AWS Outposts, Azure Edge Zones). These nodes reduce latency
by processing data closer to end-users, enabled by ISP infrastructure like
5G networks.
•
5. Cont.
Security and Compliance
• Encryption: ISPs often provide secure channels (e.g., VPNs) to protect
data in transit to/from the cloud.
• DDoS Mitigation: ISPs defend against Distributed Denial-of-Service
(DDoS) attacks targeting cloud-hosted services.
• Data Sovereignty: ISPs ensure data routed through their networks
complies with regional regulations (e.g., GDPR, HIPAA).
6. Cont.
Hybrid and Multi-Cloud Connectivity
• ISPs enable private, high-speed connections (e.g., AWS Direct
Connect, Azure ExpressRoute) between on-premises infrastructure
and public cloud providers, bypassing the public internet for better
security and performance.
Scalability and Cost Efficiency
• ISPs offer scalable bandwidth plans to accommodate fluctuating cloud
workloads (e.g., seasonal traffic spikes for e-commerce sites).
• Poor ISP performance can lead to higher cloud costs due to
inefficiencies in data transfer or processing delays.
7. Cont.
Disaster Recovery
• ISPs ensure redundant network paths to cloud backup and disaster
recovery systems, minimizing downtime during outages.
Example Scenario
• If a company uses Microsoft Azure for hosting its applications:
• The ISP provides the fiber-optic link connecting the company’s office to
Azure’s data centers.
• The ISP’s QoS policies prioritize traffic for critical Azure-hosted ERP systems.
• Edge nodes managed by the ISP reduce latency for users accessing cloud-
based AI tools.
8. Cont.
Challenges for ISPs in Cloud Computing
• High Bandwidth Demands: Cloud workloads (e.g., big data analytics)
strain ISP networks.
• Global Infrastructure: ISPs must partner with global cloud providers
to ensure seamless cross-border connectivity.
• Security Threats: ISPs must continuously upgrade defenses against
cyberattacks targeting cloud-bound data.
9. Role and Importance of Connectionless
Packet Switching in Cloud Computing
Connectionless packet switching is a foundational networking paradigm
where data is transmitted as discrete packets (datagrams) without
establishing a dedicated end-to-end connection. Each packet is routed
independently based on its header information. In cloud computing,
this approach plays a vital role in enabling scalable, flexible, and
efficient communication.
10. Core Role in Cloud Computing
• Dynamic Resource Utilization:
Cloud environments rely on distributed, on-demand resource allocation (e.g., virtual machines,
containers). Connectionless packet switching allows seamless communication between these
ephemeral resources without requiring persistent connections.
• Support for Scalable Architectures:
Modern cloud systems (e.g., microservices, serverless functions) involve short-lived, stateless
interactions. Connectionless protocols like UDP/IP efficiently handle these transient
communications, reducing overhead.
• Decentralized Data Flow:
In distributed cloud systems (e.g., edge computing, CDNs), packets are routed dynamically
across multiple nodes, avoiding bottlenecks and enabling load balancing.
11. Key Advantages for Cloud Computing
Efficiency and Speed
• No Connection Setup: Eliminates delays from handshakes (e.g., TCP’s three-
way handshake), making it ideal for latency-sensitive applications like real-
time analytics, VoIP, and IoT telemetry.
• Low Overhead: Packets carry minimal header information, optimizing
bandwidth usage for high-volume cloud traffic (e.g., streaming, big data
transfers).
Scalability
• Massive Parallelism: Supports millions of simultaneous requests in cloud-
native apps (e.g., Netflix streaming, AWS Lambda functions).
• Stateless Design: Avoids maintaining connection states, reducing memory
and processing load on cloud servers.
12. Cont.
Fault Tolerance
• Dynamic Rerouting: If a node fails, packets automatically take alternative
paths, aligning with cloud’s redundancy and failover mechanisms.
• Resilience to Network Fluctuations: Suits unstable environments (e.g.,
mobile edge computing), where connections may drop frequently.
Cost-Effectiveness
• Pay-as-You-Go Model: Matches cloud’s operational model by charging only
for actual data transmitted, not idle connections.
13. Use Cases in Cloud Environments
• Real-Time Services:
• Video Streaming (e.g., YouTube, Twitch): UDP minimizes buffering by
prioritizing speed over reliability.
• Online Gaming: Low-latency packet delivery ensures responsive gameplay.
• IoT and Edge Computing:
• Sensors and edge devices send sporadic data bursts to the cloud via
lightweight protocols like MQTT or CoAP, which often run over UDP.
• Microservices Communication:
• Stateless REST APIs and gRPC services use HTTP/3 (built on QUIC over UDP)
for faster inter-service communication in cloud clusters.
• Big Data Transfers:
• Tools like Apache Kafka leverage connectionless protocols to handle high-
throughput data pipelines.
14. Challenges and Mitigations
• Packet Loss and Out-of-Order Delivery:
• Mitigation: Higher-layer protocols (e.g., TCP, QUIC) add reliability checks
without sacrificing the efficiency of the underlying connectionless layer.
• Security Risks:
• Mitigation: Encryption (e.g., TLS/DTLS) and firewalls protect stateless packets
in transit.
• QoS Management:
• Mitigation: Cloud providers use SDN (Software-Defined Networking) to
prioritize critical traffic (e.g., VoIP over UDP).
16. Router-Based Interconnectivity in Cloud
Computing
Router-based interconnectivity is a cornerstone of cloud computing
environments, enabling efficient, secure, and scalable communication
between distributed resources.
17. Core Role of Routers in Cloud Environments
Routers act as traffic directors, managing data flow between:
• Virtual networks (e.g., VPCs, subnets).
• Cloud services (e.g., compute instances, storage, databases).
• Hybrid/multi-cloud systems (e.g., on-premises data centers and public
clouds).
• Global regions (e.g., connecting AWS us-east-1 to eu-west-1).
18. Key Benefits of Router-Based Interconnectivity
Scalable Network Architecture
• Dynamic Routing Protocols (e.g., BGP, OSPF): Automatically adapt to changes
in cloud topology, such as auto-scaling groups or serverless functions.
• Multi-Tenancy Support: Isolate traffic for different customers or workloads
while sharing physical infrastructure.
Enhanced Security
• Access Control Lists (ACLs): Filter traffic to/from cloud resources (e.g., block
unauthorized access to a database instance).
• VPN and Encrypted Tunnels: Securely connect on-premises networks to cloud
VPCs (e.g., AWS Direct Connect, Azure VPN Gateway).
19. Cont.
Hybrid and Multi-Cloud Integration
• Cross-Cloud Connectivity: Enable seamless communication between AWS,
Azure, and Google Cloud via SD-WAN or cloud exchange hubs.
• Edge-to-Cloud Routing: Connect IoT devices at the edge to centralized cloud
services (e.g., Azure IoT Hub).
Traffic Optimization
• Quality of Service (QoS): Prioritize latency-sensitive traffic (e.g., VoIP, real-
time analytics).
• Content Delivery Networks (CDNs): Route user requests to the nearest edge
server (e.g., Cloudflare, Akamai).
20. Use Cases in Cloud Computing
• Microservices Communication: Routers manage API calls between
stateless microservices in Kubernetes clusters.
• Disaster Recovery: Replicate data across geographically dispersed
clouds using redundant routing paths.
• Big Data Pipelines: Direct large datasets between cloud storage (e.g.,
S3) and analytics engines (e.g., Spark on EMR).
• Global SaaS Applications: Ensure low-latency access for users
worldwide via geographically distributed routers.
22. Example: AWS Networking
• Virtual Private Cloud (VPC): Uses route tables to direct traffic
between subnets, internet gateways, and NAT devices.
• Transit Gateway: Acts as a cloud router to interconnect thousands of
VPCs and on-premises networks.
• Route 53: A DNS router that directs user requests to the closest
healthy endpoint (e.g., EC2 instances, S3 buckets).
23. Cont.
Router-based interconnectivity is essential for cloud computing,
providing:
• Agility to scale resources dynamically.
• Resilience against failures.
• Security for multi-tenant environments.
• Efficiency in global data distribution.
24. Questions
1. What is the role of routers in cloud computing?
2. How do routers help in load balancing for cloud networks?
3. Why is router-based interconnectivity important for hybrid cloud environments?
4. How do routers improve cloud security?
5. What is the function of Quality of Service (QoS) in cloud networking?
6. How do routers support fault tolerance in cloud computing?
7. What is the significance of edge computing in router-based interconnectivity?
8. How do routers facilitate multi-cloud communication?
9. Why is traffic optimization necessary in cloud networks?
10. How do routers contribute to Content Delivery Networks (CDNs) in
cloud computing?