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      Glow

      Ned Beauman 9780385352604

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25 Remote Warehouse Personal Computers- General

Other titles in the Springer Briefs in Computer Science series:

Video Processing in the Cloud (Springer Briefs in Computer Science)

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Video Processing in the Cloud (Springer Briefs in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

As computer systems evolve, the volume of data to be processed increases significantly, either as a consequence of the expanding amount of available information, or due to the possibility of performing highly complex operations that were not feasible in the past. Nevertheless, tasks that depend on the manipulation of large amounts of information are still performed at large computational cost, i.e., either the processing time will be large, or they will require intensive use of computer resources. In this scenario, the efficient use of available computational resources is paramount, and creates a demand for systems that can optimize the use of resources in relation to the amount of data to be processed. This problem becomes increasingly critical when the volume of information to be processed is variable, i.e., there is a seasonal variation of demand. Such demand variations are caused by a variety of factors, such as an unanticipated burst of client requests, a time-critical simulation, or high volumes of simultaneous video uploads, e.g. as a consequence of a public contest. In these cases, there are moments when the demand is very low (resources are almost idle) while, conversely, at other moments, the processing demand exceeds the resources capacity. Moreover, from an economical perspective, seasonal demands do not justify a massive investment in infrastructure, just to provide enough computing power for peak situations. In this light, the ability to build adaptive systems, capable of using on demand resources provided by Cloud Computing infrastructures is very attractive.

Synopsis:

This book details a large scale distributed video processing system. It develops an algorithm that allows parallel and distributed task processing and addresses the problems characterized by the seasonal demand for large volumes of video processing.

Synopsis:

No back cover text for Briefs

Table of Contents

Introduction.-Background.-Video Compression.-The Split & Merge Architecture.-Case Studies.-Limitations.-Conclusions.-References.

Product Details

ISBN:
9781447121367
Author:
Pereira, Rafael Silva
Publisher:
Springer
Author:
Breitman, Karin
Author:
Breitman, Karin K.
Subject:
Programming - Software Development
Subject:
Cloud computing
Subject:
Distributed systems
Subject:
Service orientated architectures
Subject:
Video compression
Subject:
Software Engineering/Programming and Operating Systems
Subject:
Information Systems Applications (incl.Internet)
Subject:
Computer System Implementation
Subject:
Computer Engineering
Subject:
Image Processing and Computer Vision
Subject:
Graphics-General
Subject:
Personal Computers-General
Copyright:
Edition Description:
2011
Series:
SpringerBriefs in Computer Science
Publication Date:
20110928
Binding:
TRADE PAPER
Language:
English
Pages:
73
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » General
Computers and Internet » Internet » Information
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » General
Education » Writing

Video Processing in the Cloud (Springer Briefs in Computer Science) New Trade Paper
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$45.50 In Stock
Product details 73 pages Springer - English 9781447121367 Reviews:
"Synopsis" by , This book details a large scale distributed video processing system. It develops an algorithm that allows parallel and distributed task processing and addresses the problems characterized by the seasonal demand for large volumes of video processing.
"Synopsis" by , No back cover text for Briefs
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