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Load balance for distributed real-ti...
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Fang, Junhua.
Load balance for distributed real-time computing systems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Load balance for distributed real-time computing systemsJunhua Fang, Rong Zhang, Aoying Zhou.
作者:
Fang, Junhua.
其他作者:
Zhang, Rong.
出版者:
Singapore :World Scientific,c2020.
面頁冊數:
1 online resource (xxiii, 234 p.)
標題:
Electronic data processingDistributed processing.
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/11709#t=toc
ISBN:
9789811216152$q(ebook)
Load balance for distributed real-time computing systems
Fang, Junhua.
Load balance for distributed real-time computing systems
[electronic resource] /Junhua Fang, Rong Zhang, Aoying Zhou. - 1st ed. - Singapore :World Scientific,c2020. - 1 online resource (xxiii, 234 p.) - East China Normal University scientific reports,v. 132382-5715 ;. - East China Normal University scientific reports ;6..
Includes bibliographical references.
"This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms. The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods. This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc."--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789811216152$q(ebook)Subjects--Topical Terms:
182427
Electronic data processing
--Distributed processing.
LC Class. No.: QA76.9.D5 / F36 2020
Dewey Class. No.: 004/.36
Load balance for distributed real-time computing systems
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"This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms. The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods. This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc."--Publisher's website.
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https://www.worldscientific.com/worldscibooks/10.1142/11709#t=toc
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