Quality-aware scheduling for key-value data stores /

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Bibliographic Details
Author / Creator:Xu, Chen, author.
Imprint:Heidelberg : Springer, 2015.
Description:1 online resource (xi, 97 pages) : illustrations.
Language:English
Series:SpringerBriefs in computer science, 2191-5768
SpringerBriefs in computer science.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11094429
Hidden Bibliographic Details
Other authors / contributors:Zhou, Aoying, 1965- author.
ISBN:9783662473061
3662473062
3662473054
9783662473054
9783662473054
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed June 10, 2015).
Summary: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.
Other form:Print version: Xu, Chen. Quality-aware Scheduling for Key-value Data Stores. Berlin, Heidelberg : Springer Berlin Heidelberg, ©2015 9783662473054
Standard no.:10.1007/978-3-662-47306-1