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Design Of Scalable On Demand Video Streaming Systems Leveraging Video Viewing Patterns
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Book Synopsis Design of Scalable On-Demand Video Streaming Systems Leveraging Video Viewing Patterns by : Kyung-Wook Hwang
Download or read book Design of Scalable On-Demand Video Streaming Systems Leveraging Video Viewing Patterns written by Kyung-Wook Hwang and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Specifically, our analysis shows that popularity affects swarm efficiency when seeds stay "long enough". We also show that ABR in a P2P setting helps viewers achieve higher playback rates and/or fewer interruptions. We develop the Joint-Family protocol based on the observations from our analysis. Peers in Joint-Family simultaneously participate in multiple swarms to exchange chunks of different bitrates. We adopt chunk, bitrate, and peer selection policies that minimize occurrence of interruptions while delivering high quality video and improving the efficiency of the system. Using traces from a large-scale commercial VoD service, we compare Joint-Family with existing approaches for P2P VoD and show that viewers in Joint-Family enjoy higher playback rates with minimal interruption, irrespective of video popularity.
Book Synopsis A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems by : Fei Chen
Download or read book A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems written by Fei Chen and published by . This book was released on 2014 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the Internet has witnessed a significant increase in the popularity of video streaming systems for Video-on-Demand (VoD) or live streaming services. The large-scale content distribution of these systems has become increasingly prevalent and contributes to a significant portion of Internet traffic. Designing such a large scale, fast growing video streaming platform with high availability and scalability is technically challenging. Traditionally, it requires either a massive and costly computation, storage and network delivery infrastructure, or a peer-to-peer (P2P) strategy, which deploys local resources of participating users. To make it worse, the servers usually have to be over-provisioned for the peak load to serve the heterogeneous and dynamic user demands in a large scale with guaranteed Quality of Service (QoS). The emergence of cloud computing however sheds new lights into this dilemma. A cloud platform offers reliable, elastic and cost-effective resource provisioning, which has been dramatically changing the way of enabling scalable and dynamic network services for large scale video streaming systems. First, cloud computing can provide an elastic service and scale the provisioned server resource online in a fine granularity. Second, the geo-distributed cloud sites can respond to the globalized request demands with the qualified service. Third, the cloud-assisted strategy is highly compatible with current prevalent P2P video streaming systems in a hybrid solution. Therefore, the cloud-assisted strategies for large scale video streaming systems call for the novel solutions to provide the cost-effective services. In this thesis, we tackle the design issues of cloud-assisted strategies. First, we propose a flexible cloud based provisioning strategy to serve highly time-varying demands in the P2P VoD systems. Then, leveraging the geo-distributed cloud services, we build a prototype of crowdsourced live streaming platform and explore the streaming quality under the influence of different cloud site leasing strategies. Synergizing the P2P and cloud resource, we model the combinational cost problem, and present an optimal solution and a distributed solution toward a scalable and cost effective service over the hybrid VoD streaming systems. Our analysis and experimental results demonstrate the superiority of proposed systematic solutions for the large scale video streaming systems.
Book Synopsis Scalable Continuous Media Streaming Systems by : Jack Lee
Download or read book Scalable Continuous Media Streaming Systems written by Jack Lee and published by John Wiley & Sons. This book was released on 2005-11-01 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous media streaming systems will shape the future of information infrastructure. The challenge is to design systems and networks capable of supporting millions of concurrent users. Key to this is the integration of fault-tolerant mechanisms to prevent individual component failures from disrupting systems operations. These are just some of the hurdles that need to be overcome before large-scale continuous media services such as video-on-demand can be deployed with maximum efficiency. The author places the subject in context, drawing together findings from the past decade of research whilst examining the technology’s present status and its future potential. The approach adopted is comprehensive, covering topics – notably the scalability and fault-tolerance issues - that previously have not been treated in depth. Provides an accessible introduction to the technology, presenting the basic principles for media streaming system design, focusing on the need for the correct and timely delivery of data. Explores the use of parallel server architectures to tackle the two key challenges of scalability and fault-tolerance. Investigates the use of network multicast streaming algorithms to further increase the scalability of very-large-scale media streaming systems. Illustrates all findings using real-world examples and case studies gleaned from cutting-edge worldwide research. Combining theory and practice, this book will appeal to industry specialists working in content distribution in general and continuous media streaming in particular. The introductory materials and basic building blocks complemented by amply illustrated, more advanced coverage provide essential reading for senior undergraduates, postgraduates and researchers in these fields.
Book Synopsis Supporting Scalable and Resilient Video Streaming Applications in Evolving Networks by : Meng Guo
Download or read book Supporting Scalable and Resilient Video Streaming Applications in Evolving Networks written by Meng Guo and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: While the demand for video streaming services has risen rapidly in recent years, supporting video streaming service to a large number of receivers still remains a challenging task. Issues of video streaming in the Internet, such as scalability, and reliability are still under extensive research. Recently proposed network contexts such as overlay networks, and mobile ad hoc networks pose even tougher challenges. This thesis focuses on supporting scalable video streaming applications under various network environments. More specifically, this thesis investigates the following problems: i) Server selection in replicated batching video on demand (VoD) systems: we find out that, to optimize the user perceived latency, it is vital to consider the server state information and channel allocation schemes when making server selection decisions. We develop and evaluate a set of server selection algorithms that use increasingly more information. ii) Scalable live video streaming with time shifting and video patching: we consider the problem of how to enable continuous live video streaming to a large group of clients in cooperative but unreliable overlay networks. We design a server-based architecture which uses a combined technique of time-shifting video server and P2P video patching. iii) A Cooperative patching architecture in overlay networks: We design a cooperative patching architecture which shifts video patching responsibility completely to the client side. An end-host retrieves lost data from other end-hosts within the same multicast group. iv) V3: a vehicle to vehicle video streaming architecture: We propose V3, an architecture to provide live video streaming service to driving vehicles through vehicle-to-vehicle (V2V) networks. V3 incorporates a novel signaling mechanism to continuously trigger video sources to send video data back to the receiver. It also adopts a store-carry-and-forward approach to transmit video data in a partitioned network environment. We also develop a multicasting framework that enables live video streaming applications from multiple sources to multiple receivers in V2V networks. A message integration scheme is used to suppress the signaling overhead, and a two-level tree-based routing approach is adopted to forward the video data.
Book Synopsis Journal of Communications and Networks by :
Download or read book Journal of Communications and Networks written by and published by . This book was released on 2005 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Designing Data-Intensive Applications by : Martin Kleppmann
Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej
Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.
Book Synopsis Design Patterns for Cloud Native Applications by : Kasun Indrasiri
Download or read book Design Patterns for Cloud Native Applications written by Kasun Indrasiri and published by "O'Reilly Media, Inc.". This book was released on 2021-05-17 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Download or read book Broadcasting & Cable written by and published by . This book was released on 2000-04 with total page 1422 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pervasive Computing by : Aboul Ella Hassanien
Download or read book Pervasive Computing written by Aboul Ella Hassanien and published by Springer Science & Business Media. This book was released on 2009-09 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pervasive computing (also referred to as ubiquitous computing or ambient intelligence) aims to create environments where computers are invisibly and seamlessly integrated and connected into our everyday environment. Pervasive computing and intelligent multimedia technologies are becoming increasingly important, although many potential applications have not yet been fully realized. These key technologies are creating a multimedia revolution that will have significant impact across a wide spectrum of consumer, business, healthcare, and governmental domains. This useful volume provides up-to-date and state-of-the-art coverage of the diverse topics related to pervasive computing and intelligent multimedia technologies. The use of different computational intelligence-based approaches to various problems in pervasive computing are examined, including video streaming, intelligent behavior modeling and control for mobile manipulators, tele-gaming, indexing video summaries for quick video browsing, web service processes, virtual environments, ambient intelligence, and prevention and detection of attacks to ubiquitous databases. Topics and features: Includes a comprehensive overview, providing a thorough literature review and an outline of the important research challenges Discusses pervasive computing approaches in the context of intelligent multimedia Examines virtual reality technology, mobile virtual environments, and the potential use of intelligent multimedia and ubiquitous computing in the hotels of the future Describes various approaches in ambient intelligence for home health care for the elderly and those suffering from Alzheimer's disease, for volcano monitoring, and for preventing attacks to ubiquitous databases Investigates issues in web services and situation awareness in pervasive computing environments Explores wireless network applications, such as mobile agents and e-commerce This textbook/reference is an invaluable resource for researchers, postgraduate and senior undergraduate students, and practitioners involved in pervasive computing, intelligent multimedia, and computational intelligence.
Book Synopsis Software Architecture by : Richard N. Taylor
Download or read book Software Architecture written by Richard N. Taylor and published by John Wiley & Sons. This book was released on 2009-01-09 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software architecture is foundational to the development of large, practical software-intensive applications. This brand-new text covers all facets of software architecture and how it serves as the intellectual centerpiece of software development and evolution. Critically, this text focuses on supporting creation of real implemented systems. Hence the text details not only modeling techniques, but design, implementation, deployment, and system adaptation -- as well as a host of other topics -- putting the elements in context and comparing and contrasting them with one another. Rather than focusing on one method, notation, tool, or process, this new text/reference widely surveys software architecture techniques, enabling the instructor and practitioner to choose the right tool for the job at hand. Software Architecture is intended for upper-division undergraduate and graduate courses in software architecture, software design, component-based software engineering, and distributed systems; the text may also be used in introductory as well as advanced software engineering courses.
Download or read book Learning AWS written by Aurobindo Sarkar and published by Packt Publishing Ltd. This book was released on 2018-02-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover techniques and tools for building serverless applications with AWS Key Features Get well-versed with building and deploying serverless APIs with microservices Learn to build distributed applications and microservices with AWS Step Functions A step-by-step guide that will get you up and running with building and managing applications on the AWS platform Book Description Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and automate your infrastructure and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process. What you will learn Set up your AWS account and get started with the basic concepts of AWS Learn about AWS terminology and identity access management Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud Integrate AWS services with your application to meet and exceed non-functional requirements Create and automate infrastructure to design cost-effective, highly available applications Who this book is for If you are an I.T. professional or a system architect who wants to improve infrastructure using AWS, then this book is for you. It is also for programmers who are new to AWS and want to build highly efficient, scalable applications.
Book Synopsis Scalable Data Streaming with Amazon Kinesis by : Tarik Makota
Download or read book Scalable Data Streaming with Amazon Kinesis written by Tarik Makota and published by Packt Publishing Ltd. This book was released on 2021-03-31 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key FeaturesGet well versed with the capabilities of Amazon KinesisExplore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis servicesLearn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis dataBook Description Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learnGet to grips with data streams, decoupled design, and real-time stream processingUnderstand the properties of KFH that differentiate it from other Kinesis servicesMonitor and scale KDS using CloudWatch metricsSecure KDA with identity and access management (IAM)Deploy KVS as infrastructure as code (IaC)Integrate services such as Redshift, Dynamo Database, and Splunk into KinesisWho this book is for This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.
Book Synopsis Information-Centric Networks by : Gabriel M. de Brito
Download or read book Information-Centric Networks written by Gabriel M. de Brito and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its inception, the Internet has evolved from a textual information system towards a multimedia information system, in which data, services and applications are consumed as content. Today, however, the main problem faced is that applications are now content-oriented but the protocol stack remains the same, based on the content location. Thus, it is clear that the Internet’s current architecture must change. This new architecture should take into account aspects to improve content location and delivery efficiency and also content availability. Fulfilling these requirements is the main goal of information-centric networks (ICNs). ICN is a new communication paradigm to increase the efficiency of content delivery and also content availability. In this new concept, the network infrastructure actively contributes to content caching and distribution. This book presents the basic concepts of ICNs, describes the main architecture proposals for these networks, and discusses the main challenges to their development. Information Centric-Networks looks at the current challenges for this concept, including: naming, routing and caching on the network-core elements, several aspects of content security, user privacy, and practical issues in implementing ICNs. Contents 1. Content Distribution on the Internet. 2. Information-Centric Networks. 3. Main ICN Architectures. 4. Challenges. 5. Practical Issues. About the Authors Gabriel M. Brito is an Engineer at Petrobras in Brazil and studying for a Master’s degree at the Universidade Federal Fluminense in Brazil. Pedro Braconnot Velloso is an Associate Professor in the Department of Computer Science at the Universidade Federal Fluminense (UFF), Brazil. He worked for Bell Labs France as a research engineer from 2009 to 2011. Igor M. Moraes is an Associate Professor at the Universidade Federal Fluminense in Brazil.
Download or read book F&S Index United States Annual written by and published by . This book was released on 1999 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Privacy-Preserving in Edge Computing by : Longxiang Gao
Download or read book Privacy-Preserving in Edge Computing written by Longxiang Gao and published by Springer Nature. This book was released on 2021-06-01 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.
Book Synopsis Kafka: The Definitive Guide by : Neha Narkhede
Download or read book Kafka: The Definitive Guide written by Neha Narkhede and published by "O'Reilly Media, Inc.". This book was released on 2017-08-31 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems
