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Quality-aware scheduling for key-val...

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Quality-aware scheduling for key-value data stores[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	005.434
タイトル / 著者:	Quality-aware scheduling for key-value data stores/ by Chen Xu, Aoying Zhou.
著者:	Xu, Chen.
その他の著者:	Zhou, Aoying.
出版された:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
記述:	xi, 97 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Computer scheduling.
主題:	Database management.
主題:	Computer Science.
主題:	Database Management.
主題:	Information Systems Applications (incl. Internet)
主題:	Operating Systems.
国際標準図書番号 (ISBN) :	9783662473061 (electronic bk.)
国際標準図書番号 (ISBN) :	9783662473054 (paper)
[NT 15000229] null:	Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management. In modern web applications, user experience satisfaction determines their success. In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)). Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47306-1

Quality-aware scheduling for key-value data stores[electronic resource] /
Xu, Chen.

Quality-aware scheduling for key-value data stores[electronic resource] /by Chen Xu, Aoying Zhou. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xi, 97 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management. In modern web applications, user experience satisfaction determines their success. In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)). Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.

ISBN: 9783662473061 (electronic bk.)

Standard No.: 10.1007/978-3-662-47306-1doiSubjects--Topical Terms:

468313
Computer scheduling.

LC Class. No.: QA76.53

Dewey Class. No.: 005.434

Quality-aware scheduling for key-value data stores[electronic resource] /
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520 $a Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management. In modern web applications, user experience satisfaction determines their success. In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)). Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.
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