Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and scalability, universal access to documents and data, and easier collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and availability issues.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has several key characteristics including elastic scalability, high availability, and pay-per-use utility models. Cloud services can be deployed through various models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). The document discusses definitions of cloud computing, its essential characteristics, service models and deployment models.
Cloud testing refers to testing applications and services that are hosted in cloud environments. There are three types of clouds: private, public, and hybrid. Cloud testing provides benefits like reduced costs since resources are accessed on-demand. It involves testing applications deployed in clouds, testing the cloud infrastructure itself, and testing across multiple cloud environments. Key challenges of cloud testing include security, lack of standards, infrastructure limitations, and improper usage increasing costs. Existing research on cloud testing and software testing as a service is limited but focuses on test modeling, criteria for cloud applications, and commercial cloud testing tools and services.
Performance and Cost Analysis of Modern Public Cloud ServicesMd.Saiedur Rahaman
This document discusses performance and cost analysis of modern public cloud services. It begins with an introduction to cloud computing and its advantages over traditional computing systems. The document then discusses several key factors for evaluating cloud service performance, including response time, throughput, elasticity, and bandwidth. It also discusses different cost models used by cloud providers, such as pay-per-use and subscription models. Finally, it compares the performance of major cloud providers like Amazon EC2, Microsoft Azure, and Google App Engine.
Scaling Databricks to Run Data and ML Workloads on Millions of VMsMatei Zaharia
Keynote at Scale By The Bay 2020.
Cloud service developers need to handle massive scale workloads from thousands of customers with no downtime or regressions. In this talk, I’ll present our experience building a very large-scale cloud service at Databricks, which provides a data and ML platform service used by many of the largest enterprises in the world. Databricks manages millions of cloud VMs that process exabytes of data per day for interactive, streaming and batch production applications. This means that our control plane has to handle a wide range of workload patterns and cloud issues such as outages. We will describe how we built our control plane for Databricks using Scala services and open source infrastructure such as Kubernetes, Envoy, and Prometheus, and various design patterns and engineering processes that we learned along the way. In addition, I’ll describe how we have adapted data analytics systems themselves to improve reliability and manageability in the cloud, such as creating an ACID storage system that is as reliable as the underlying cloud object store (Delta Lake) and adding autoscaling and auto-shutdown features for Apache Spark.
App to Cloud: Patrick Kerpan's DataCenter Dynamics Converged KeynoteCohesive Networks
App to Cloud: Patrick Kerpan's DataCenter Dynamics Converged Keynote
About the talk:
Customers don’t care where their cloud networks and infrastructure are, they just want apps to work. This session explains how overlay networks can help to do more networking at the IaaS level and how developers can build on top of overlay networking to extend traditional networks to the cloud.
Cloud computing allows users to access computing resources over the network. It has several key characteristics including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models (Software as a Service, Platform as a Service, and Infrastructure as a Service) and four deployment models (private cloud, community cloud, public cloud, and hybrid cloud). Achieving high performance, availability, and manageability in cloud computing requires techniques like virtualization, parallel processing, fault tolerance, load balancing and automation.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and scalability, universal access to documents and data, and easier collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and availability issues.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has several key characteristics including elastic scalability, high availability, and pay-per-use utility models. Cloud services can be deployed through various models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). The document discusses definitions of cloud computing, its essential characteristics, service models and deployment models.
Cloud testing refers to testing applications and services that are hosted in cloud environments. There are three types of clouds: private, public, and hybrid. Cloud testing provides benefits like reduced costs since resources are accessed on-demand. It involves testing applications deployed in clouds, testing the cloud infrastructure itself, and testing across multiple cloud environments. Key challenges of cloud testing include security, lack of standards, infrastructure limitations, and improper usage increasing costs. Existing research on cloud testing and software testing as a service is limited but focuses on test modeling, criteria for cloud applications, and commercial cloud testing tools and services.
Performance and Cost Analysis of Modern Public Cloud ServicesMd.Saiedur Rahaman
This document discusses performance and cost analysis of modern public cloud services. It begins with an introduction to cloud computing and its advantages over traditional computing systems. The document then discusses several key factors for evaluating cloud service performance, including response time, throughput, elasticity, and bandwidth. It also discusses different cost models used by cloud providers, such as pay-per-use and subscription models. Finally, it compares the performance of major cloud providers like Amazon EC2, Microsoft Azure, and Google App Engine.
Scaling Databricks to Run Data and ML Workloads on Millions of VMsMatei Zaharia
Keynote at Scale By The Bay 2020.
Cloud service developers need to handle massive scale workloads from thousands of customers with no downtime or regressions. In this talk, I’ll present our experience building a very large-scale cloud service at Databricks, which provides a data and ML platform service used by many of the largest enterprises in the world. Databricks manages millions of cloud VMs that process exabytes of data per day for interactive, streaming and batch production applications. This means that our control plane has to handle a wide range of workload patterns and cloud issues such as outages. We will describe how we built our control plane for Databricks using Scala services and open source infrastructure such as Kubernetes, Envoy, and Prometheus, and various design patterns and engineering processes that we learned along the way. In addition, I’ll describe how we have adapted data analytics systems themselves to improve reliability and manageability in the cloud, such as creating an ACID storage system that is as reliable as the underlying cloud object store (Delta Lake) and adding autoscaling and auto-shutdown features for Apache Spark.
App to Cloud: Patrick Kerpan's DataCenter Dynamics Converged KeynoteCohesive Networks
App to Cloud: Patrick Kerpan's DataCenter Dynamics Converged Keynote
About the talk:
Customers don’t care where their cloud networks and infrastructure are, they just want apps to work. This session explains how overlay networks can help to do more networking at the IaaS level and how developers can build on top of overlay networking to extend traditional networks to the cloud.
Cloud computing allows users to access computing resources over the network. It has several key characteristics including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models (Software as a Service, Platform as a Service, and Infrastructure as a Service) and four deployment models (private cloud, community cloud, public cloud, and hybrid cloud). Achieving high performance, availability, and manageability in cloud computing requires techniques like virtualization, parallel processing, fault tolerance, load balancing and automation.
The document provides an overview of cloud computing including:
1) It defines cloud computing and discusses its key characteristics like on-demand access to configurable resources that can be rapidly provisioned.
2) It outlines the three main service models (SaaS, PaaS, IaaS) and three deployment models (public, private, hybrid cloud).
3) It discusses Oracle's cloud architecture including the layers, components, and how it provides the three service models to users from a public or private cloud.
This document discusses cloud computing concepts including definitions, essential characteristics of abstraction and virtualization, benefits such as on-demand access and elastic resources, and how virtualization enables key attributes like scalability. It provides examples of Google, Microsoft Azure, and Amazon Web Services cloud platforms. Load balancing is described as a way to distribute requests across virtualized resources to optimize performance and avoid overloads. More advanced load balancers can monitor resource health and workload to intelligently assign tasks.
The document provides an introduction to cloud computing, including definitions from various sources and perspectives on what cloud computing is. It discusses key concepts like utility computing, service-oriented architecture, and service level agreements. It also covers essential characteristics of cloud computing like scalability, elasticity, availability, reliability, manageability, and interoperability. It describes techniques for achieving these characteristics, such as dynamic provisioning, multi-tenant design, fault tolerance, system resilience, security, control automation, and system monitoring.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable, elastic resources without upfront investment for infrastructure. Key characteristics include pay-for-use, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While the cloud provides opportunities like reduced costs and universal access, disadvantages include reliance on internet connectivity and potential security and control issues.
Lecture 1 - Introduction to Cloud Computing.pptxHuyLc16
The document discusses definitions of cloud computing from various perspectives. It defines cloud computing as on-demand access to configurable computing resources over the internet. Key characteristics include scalability, availability, and manageability. Cloud computing relies on utility computing, service-oriented architecture, and service level agreements. It achieves properties through techniques like virtualization, automation, and monitoring.
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software and more over the internet. It has several key advantages including scalability, reliability, accessibility and pay-per-use pricing. There are different definitions of cloud computing but most reference its ability to provide on-demand access to shared configurable computing resources that can be rapidly provisioned with minimal management effort. Cloud services follow three common models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be rapidly provisioned with minimal management effort. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) - and four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. Cloud computing aims to maximize efficiency and minimize costs through dynamic provisioning, multi-tenancy, and pay-per-use models.
This document discusses definitions and concepts related to cloud computing. It begins by looking at definitions from NIST and WhatIs.com, which describe cloud computing as enabling on-demand access to configurable computing resources via a network. The document then covers central ideas like utility computing, service-oriented architecture (SOA), and service level agreements (SLAs). It discusses properties and characteristics of clouds like scalability, availability, reliability, manageability, interoperability, performance, and accessibility. Finally, it delves into concepts that enable these properties, such as virtualization, parallel computing, load balancing, fault tolerance, and system monitoring.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection, potential security issues, and lack of local control.
The document discusses different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of each type, with IaaS including Amazon EC2, PaaS including Google AppEngine, and SaaS including traditional desktop applications accessed online. The document also covers cloud deployment models like public, private, community, and hybrid clouds. Key features of cloud computing like self-service, elasticity, and customization are described.
The document discusses different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of each type, with IaaS examples including Amazon EC2 and on-demand provisioning of servers. PaaS is described as offering environments for developing and hosting applications, and Google AppEngine is given as an example. SaaS is defined as delivering traditional desktop applications as an online service.
PRIVATE CLOUD SERVER IMPLEMENTATIONS FOR DATA STORAGEEditor IJCTER
This document summarizes the implementation of a private cloud server for data storage without internet connectivity. The private cloud server provides software and services to clients, centralized data storage, and a private mailing system. It describes configuring the private cloud server in Microsoft Windows Server 2012, including enabling firewall rules, configuring the Hyper-V Replica Broker, and creating a self-signed certificate. The implementation allows clients to remotely access applications, operating systems, and data from any location without an internet connection. It analyzes the results, showing clients can now use both 32-bit and 64-bit applications and install operating systems remotely from the private cloud server.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and performance issues.
This document provides information about Cisco 640-864 training and exam preparation from Pass4sureexam. It includes 10 sample exam questions and answers related to Cisco network design. Key details include a summer discount of up to 10% on products using coupon code "summer", and that Pass4sureexam offers real exam questions and answers verified by IT professionals, interactive testing environments, and a high 99.6% exam pass rate.
The Aruba Network Rightsizing Best Practices Guide provides an overview of network rightsizing. Network rightsizing is a network capacity planning and cost optimization strategy based on the principle that wired and wireless LANs should be sized and structured to meet current and future demand. After explaining the principles of network rightsizing and how it can benefit your organization, the methodology for analyzing and planning a rightsized network will be discussed. Finally, you will learn how to implement a rightsized yet scalable Aruba 802.11n network.
To learn more, visit us at http://www.arubanetworks.com/wlan. Join the discussion at https://community.arubanetworks.com
A client-server model refers to an application structure that is distributed. It segregates tasks or workloads between those that provide a resource or service (servers) and those that request the service (clients).
This document discusses the challenges of modern hybrid IT environments and how FlexAnywhereTM can help address them. It notes that hybrid IT combines in-house, outsourced, and public/private cloud services to meet business needs. FlexAnywhere provides a platform and services across voice, network, cloud, and security to help customers manage increasingly complex IT landscapes with multiple providers. It offers a technology marketplace of over 400 providers, connectivity across its data centers, and professional services for areas like migration and cybersecurity.
إن الحوسبة السحابية تعني توفير موارد تقنية المعلومات حسب الطلب عبر الإنترنت مع تسعير التكلفة حسب الاستخدام. فبدلاً من شراء مراكز البيانات الفعلية وامتلاكها والاحتفاظ بها، يمكنك الاستفادة من الخدمات التكنولوجية، مثل إمكانيات الحوسبة، والتخزين، وقواعد البيانات، بأسلوب يعتمد على الاحتياجات لديك، وذلك من خلال جهة موفرة للخدمات السحابية مثل Amazon Web Services (AWS
Cloud computing is a general term for network-based computing that takes place over the Internet. It provides on-demand access to shared pools of configurable computing resources like networks, servers, storage, applications, and services. Key characteristics include pay-as-you-go pricing, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While cloud computing provides opportunities to reduce costs and access services from anywhere, challenges relate to security, control, and dependence on third parties.
1) The document discusses carrier-to-noise ratio and how it relates to the ratio of carrier power to noise power in a communication link.
2) It explains how the saturation flux density is used in link budget calculations to determine the required transmitted power from an earth station.
3) Backoff must be considered for multiple carrier systems to reduce intermodulation distortion, which requires reducing the earth station's transmitted power by a specified amount in the link budget.
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The document provides an overview of cloud computing including:
1) It defines cloud computing and discusses its key characteristics like on-demand access to configurable resources that can be rapidly provisioned.
2) It outlines the three main service models (SaaS, PaaS, IaaS) and three deployment models (public, private, hybrid cloud).
3) It discusses Oracle's cloud architecture including the layers, components, and how it provides the three service models to users from a public or private cloud.
This document discusses cloud computing concepts including definitions, essential characteristics of abstraction and virtualization, benefits such as on-demand access and elastic resources, and how virtualization enables key attributes like scalability. It provides examples of Google, Microsoft Azure, and Amazon Web Services cloud platforms. Load balancing is described as a way to distribute requests across virtualized resources to optimize performance and avoid overloads. More advanced load balancers can monitor resource health and workload to intelligently assign tasks.
The document provides an introduction to cloud computing, including definitions from various sources and perspectives on what cloud computing is. It discusses key concepts like utility computing, service-oriented architecture, and service level agreements. It also covers essential characteristics of cloud computing like scalability, elasticity, availability, reliability, manageability, and interoperability. It describes techniques for achieving these characteristics, such as dynamic provisioning, multi-tenant design, fault tolerance, system resilience, security, control automation, and system monitoring.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable, elastic resources without upfront investment for infrastructure. Key characteristics include pay-for-use, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While the cloud provides opportunities like reduced costs and universal access, disadvantages include reliance on internet connectivity and potential security and control issues.
Lecture 1 - Introduction to Cloud Computing.pptxHuyLc16
The document discusses definitions of cloud computing from various perspectives. It defines cloud computing as on-demand access to configurable computing resources over the internet. Key characteristics include scalability, availability, and manageability. Cloud computing relies on utility computing, service-oriented architecture, and service level agreements. It achieves properties through techniques like virtualization, automation, and monitoring.
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software and more over the internet. It has several key advantages including scalability, reliability, accessibility and pay-per-use pricing. There are different definitions of cloud computing but most reference its ability to provide on-demand access to shared configurable computing resources that can be rapidly provisioned with minimal management effort. Cloud services follow three common models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be rapidly provisioned with minimal management effort. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) - and four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. Cloud computing aims to maximize efficiency and minimize costs through dynamic provisioning, multi-tenancy, and pay-per-use models.
This document discusses definitions and concepts related to cloud computing. It begins by looking at definitions from NIST and WhatIs.com, which describe cloud computing as enabling on-demand access to configurable computing resources via a network. The document then covers central ideas like utility computing, service-oriented architecture (SOA), and service level agreements (SLAs). It discusses properties and characteristics of clouds like scalability, availability, reliability, manageability, interoperability, performance, and accessibility. Finally, it delves into concepts that enable these properties, such as virtualization, parallel computing, load balancing, fault tolerance, and system monitoring.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection, potential security issues, and lack of local control.
The document discusses different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of each type, with IaaS including Amazon EC2, PaaS including Google AppEngine, and SaaS including traditional desktop applications accessed online. The document also covers cloud deployment models like public, private, community, and hybrid clouds. Key features of cloud computing like self-service, elasticity, and customization are described.
The document discusses different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of each type, with IaaS examples including Amazon EC2 and on-demand provisioning of servers. PaaS is described as offering environments for developing and hosting applications, and Google AppEngine is given as an example. SaaS is defined as delivering traditional desktop applications as an online service.
PRIVATE CLOUD SERVER IMPLEMENTATIONS FOR DATA STORAGEEditor IJCTER
This document summarizes the implementation of a private cloud server for data storage without internet connectivity. The private cloud server provides software and services to clients, centralized data storage, and a private mailing system. It describes configuring the private cloud server in Microsoft Windows Server 2012, including enabling firewall rules, configuring the Hyper-V Replica Broker, and creating a self-signed certificate. The implementation allows clients to remotely access applications, operating systems, and data from any location without an internet connection. It analyzes the results, showing clients can now use both 32-bit and 64-bit applications and install operating systems remotely from the private cloud server.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and performance issues.
This document provides information about Cisco 640-864 training and exam preparation from Pass4sureexam. It includes 10 sample exam questions and answers related to Cisco network design. Key details include a summer discount of up to 10% on products using coupon code "summer", and that Pass4sureexam offers real exam questions and answers verified by IT professionals, interactive testing environments, and a high 99.6% exam pass rate.
The Aruba Network Rightsizing Best Practices Guide provides an overview of network rightsizing. Network rightsizing is a network capacity planning and cost optimization strategy based on the principle that wired and wireless LANs should be sized and structured to meet current and future demand. After explaining the principles of network rightsizing and how it can benefit your organization, the methodology for analyzing and planning a rightsized network will be discussed. Finally, you will learn how to implement a rightsized yet scalable Aruba 802.11n network.
To learn more, visit us at http://www.arubanetworks.com/wlan. Join the discussion at https://community.arubanetworks.com
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إن الحوسبة السحابية تعني توفير موارد تقنية المعلومات حسب الطلب عبر الإنترنت مع تسعير التكلفة حسب الاستخدام. فبدلاً من شراء مراكز البيانات الفعلية وامتلاكها والاحتفاظ بها، يمكنك الاستفادة من الخدمات التكنولوجية، مثل إمكانيات الحوسبة، والتخزين، وقواعد البيانات، بأسلوب يعتمد على الاحتياجات لديك، وذلك من خلال جهة موفرة للخدمات السحابية مثل Amazon Web Services (AWS
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### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
2. QUALITYOFSERVICE
Quality of service (QoS) is an internetworking issue
that has been discussed more than defined. We can
informally define quality of service as something a
flow seeks to attain.
Topics discussed in this section:
Flow Characteristics Flow Classes
24.23
4. TECHNIQUES TO IMPROVE QoS
In Section 24.5 we tried to define QoS in terms of its
characteristics. In this section, we discuss some
techniques that can be used to improve the quality of
service. We briefly discuss four common methods:
scheduling, traffic shaping, admission control, and
resource reservation.
Topics discussed in this section:
Scheduling Traffic Shaping
Resource Reservation Admission Control
24.25
10. A leaky bucket algorithm shapes bursty
traffic into fixed-rate traffic by averaging
the data rate. It may drop the packets if
the bucket is full.
Note
24.31
13. INTEGRATED SERVICES
Two models have been designed to provide quality of
service in the Internet: Integrated Services and
Differentiated Services. We discuss the first model
here.
Topics discussed in this section:
Signaling
Flow Specification Admission
Service Classes RSVP
Problems with Integrated Services
24.34
19. DIFFERENTIATED SERVICES
Differentiated Services (DS or Diffserv) was
introduced by the IETF (Internet Engineering Task
Force) to handle the shortcomings of Integrated
Services.
Topics discussed in this section:
DS Field
24.40
23. 24-9 QoS IN SWITCHED NETWORKS
Let us now discuss QoS as used in two switched
networks: Frame Relay and ATM. These two networks
are virtual-circuit networks that need a signaling
protocol such as RSVP.
Topics discussed in this section:
QoS in Frame Relay QoS in ATM
24.44
34. 25.34
25-1 NAME SPACE
To be unambiguous, the names assigned to machines
must be carefully selected from a name space with
complete control over the binding between the names
and IP addresses.
Flat Name Space: hard to manage for large-scale system
Hierarchical Name Space: name has several parts
Topics discussed in this section:
35. 25.35
25-2 DOMAIN NAME SPACE
To have a hierarchical name space, a domain name
space was designed. In this design the names are
defined in an inverted-tree structure with the root at
the top. The tree can have only 128 levels: level 0
(root) to level 127.
Label
Domain Name
Domain
Topics discussed in this section:
39. 25.39
25-3 DISTRIBUTION OF NAME SPACE
The information contained in the domain name space
must be stored. However, it is very inefficient and also
unreliable to have just one computer store such a huge
amount of information. In this section, we discuss the
distribution of the domain name space.
Hierarchy of Name Servers
Zone
Root Server
Primary and Secondary Servers
Topics discussed in this section:
41. DNS: Root name servers
b USC-ISI Marina del Rey, CA
l ICANN Los Angeles, CA
e NASA Mt View, CA
f Internet Software C. Palo Alto, CA
(and 17 other locations)
i Autonomica, Stockholm (plus 3 other
locations)
k RIPE London (also Amsterdam, Frankfurt)
m WIDE Tokyo
a Verisign, Dulles, VA
c Cogent, Herndon, VA (also Los Angeles)
d U Maryland College Park, MD
g US DoD Vienna, VA
h ARL Aberdeen, MD
j Verisign, ( 11 locations)
13 root name
servers
worldwide
42. TLD and Authoritative Servers
Top-level domain (TLD) servers: responsible for
com, org, net, edu, etc, and all top-level country
domains uk, fr, ca, jp.
Network solutions maintains servers for com TLD
Educause for edu TLD
Authoritative DNS servers: organization’s DNS
servers, providing authoritative hostname to IP
mappings for organization’s servers (e.g., Web
and mail).
Can be maintained by organization or service
provider (paid by the organization)
44. 25.44
Two types of DNS server: A primary server
loads all information from the disk file; the
secondary server loads all information from
the primary server. Reason: redundancy
When the secondary downloads
information from the primary, it is called zone
transfer.
Note
45. 25.45
25-4 DNS IN THE INTERNET
DNS is a protocol that can be used in different
platforms. In the Internet, the domain name space
(tree) is divided into three different sections: generic
domains, country domains, and the inverse domain.
Generic Domains
Country Domains
Inverse Domain
Topics discussed in this section:
51. 25.51
25-5 RESOLUTION
Mapping a name to an address or an address to a
name is called name-address resolution.
Resolver
Mapping Names to Addresses
Mapping Addresses to Names
Recursive Resolution
Caching
Topics discussed in this section:
54. 25.54
Caching: Main Reason for the Efficiency of DNS
All DNS servers cache prior query results
Normal DNS query will not go through the
full steps of recursive/iterative resolution
55. 25.55
25-6 DNS MESSAGES
DNS has two types of messages: query and response.
Both types have the same format. The query message
consists of a header and question records; the
response message consists of a header, question
records, answer records, authoritative records, and
additional records.
Header
Topics discussed in this section:
58. 25.58
25-7 TYPES OF RECORDS
As we saw in Section 25.6, two types of records are
used in DNS. The question records are used in the
question section of the query and response messages.
The resource records are used in the answer,
authoritative, and additional information sections of
the response message.
Question Record
Resource Record
Topics discussed in this section:
59. DNS records
DNS: distributed db storing Resource Records (RR)
Type=NS
name is domain (e.g.
foo.com)
value is name of
authoritative DNS server
for this domain
RR format: (name, value, type, ttl)
Type=A
name is hostname
value is IP address
Type=CNAME
name is alias name for some
“canonical” (the real) name
www.ibm.com is really
servereast.backup2.ibm.com
value is canonical name
Type=MX
value is name of mailserver
associated with name
25.59
60. DNS protocol, messages
DNS protocol : query and reply messages, both with
same message format
msg header
identification: 16 bit # for
query, reply to query
uses same #
flags:
query or reply
recursion desired
recursion available
reply is authoritative
25.60
61. DNS protocol, messages (UDP 53)
Name, type fields
for a query
RRs in
response
to query
records for
authoritative servers
additional “helpful”
info that may be used
Let’s check a web example using Wireshark!
(MX record: nslookup –type=MX cs.ucf.edu or
dig mx cs.ucf.edu)
25.61
62. Inserting records into DNS
Example: just created startup “netwar”
Register name netwar.com at a registrar (e.g., Network
Solutions)
Need to provide registrar with names and IP addresses of your
authoritative name server (primary and secondary)
Registrar inserts two RRs into the com TLD server:
(netwar.com, dns1.netwar.com, NS)
(dns1.netwar.com, 212.212.212.1, A)
Put in authoritative server dns1.netwar.com
Type A record for www.netwar.com
Type CName for netwar.com (alias)
Type MX record for netwar.com (email)
Type A record for the email server
How do people get the IP address of your Web site?
25.62
63. 25.63
DNS can use the services of UDP or TCP
using the well-known port 53.
Note