Bharadwaj Veeravalli, Gerassimos Barlas

Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems

• Broschiertes Buch

Produktbeschreibung

Several works on multimedia storage appear in literature today, but very little if any, have been devoted to handling long duration video retrieval, over large scale networks. Distributed retrieval of multimedia documents, especially the long duration documents, is an imperative step in rendering high-quality, high-fidelity, and cost-effective services for network service providers.

Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems presents an up-to-date research status in the domain of distributed video retrieval. This professional book will include several different techniques that are in place for long duration video retrieval. An experimentally tested technology under the JINI platform, demonstrates a practical working system which serves as a feasibility study, as well as the first step in realizing such a technology.

Produktdetails

• Multimedia Systems and Applications 29
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3960-9
• Softcover reprint of hardcover 1st ed. 2006
• Seitenzahl: 296
• Erscheinungstermin: 29. November 2010
• Englisch
• Abmessung: 235mm x 155mm x 17mm
• Gewicht: 451g
• ISBN-13: 9781441939609
• ISBN-10: 1441939601
• Artikelnr.: 32110003

Autorenporträt

Gerassimos Barlas is a Professor with the Computer Science & Engineering Department, American University of Sharjah, Sharjah, UAE. His research interest includes parallel algorithms, development, analysis and modeling frameworks for load balancing, and distributed Video on-Demand. Prof. Barlas has taught parallel computing for more than 12 years, has been involved with parallel computing since the early 90s, and is active in the emerging field of Divisible Load Theory for parallel and distributed systems.

Inhaltsangabe

Distributed Technologies for Multimedia Retrieval Over Networks.- Multiple Servers Retrieval Strategy : Data Partitioning Approach.- Supporting Multiple Clients: Channel Partitioning Approach.- An Alternative Retrieval Strategy: A Play-While-Retrieve Approach.- Scheduling Over Unreliable Channels.- Adapting to Network Variability.- Fault-Tolerance Analysis for Multiple Servers Movie Retrieval Strategy.- An Agent Driven Practical MSR System: JINI Technology.- Future Research Directions.

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Preface.- RAID Arrays and Other Distributed Architectures for Video Retrieval.- Multiple Servers Retrieval Strategy (MSRS): Data Partitioning Approach.- Supporting Multiple Clients: Channel Partitioning Approach.- Minimizing Access Times: A Play-While-Retrieve Approach.- Retrieval over Unreliable Channels: Single and Multi-Installment Approach.- Adapting to Network Variability.- Fault Tolerant Analysis.- Agent Driven Pull-Based Practical System: JINI Technology.- Experiments with a WAN-deployed System.- Conclusions and Future Research and Technology Ventures.- Index.

Rezensionen

From the reviews:

"This book presents a design for a multimedia storage and retrieval system (MSR) that addresses these issues. ... The material is well handed and clearly written. ... Especially helpful are periodic summaries of the data elements involved in the calculations. ... The theoretical mathematical analysis is supported by numerous charts showing the results of simulation runs. ... This book should be of interest to those working in either research or professional positions ... . could also be used in a graduate-level computer science course." (G. R. Mayforth, Computing Reviews, August, 2006)