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Quality-aware scheduling for key-value data stores

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quality-aware scheduling for key-value data storesby Chen Xu, Aoying Zhou.
Author:	Xu, Chen.
other author:	Zhou, Aoying.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xi, 97 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer scheduling.
Online resource:	http://dx.doi.org/10.1007/978-3-662-47306-1
ISBN:	9783662473061 (electronic bk.)

Quality-aware scheduling for key-value data stores
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:

264980
Computer scheduling.

LC Class. No.: QA76.53

Dewey Class. No.: 005.434

Quality-aware scheduling for key-value data stores
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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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