Quality-aware Scheduling for Key-value Data Stores

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 user...

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Main Authors: Xu, Chen, Zhou, Aoying (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2015, 2015
Edition:1st ed. 2015
Series:SpringerBriefs in Computer Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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
Physical Description:XI, 97 p. 32 illus online resource
ISBN:9783662473061