Skip to main content

Quality-aware Scheduling for Key-value Data Stores

  • Book
  • © 2015

Overview

  • Provides a comprehensive overview on the related literature and research
  • Describes the strategies of quality-aware scheduling for state-transfer updates and operation-transfer updates
  • Presents a prototype of quality-aware scheduler and demonstrates the timeline query on a Microblogging application
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

  • 3010 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

Keywords

About this book

This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework of quality-aware scheduler as well as a demonstration of online applications. The book offers a rich blend of theory and practice which is suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.

Authors and Affiliations

  • Institute for Data Science and Engineering, East China Normal University, Shanghai, China

    Chen Xu, Aoying Zhou

About the authors

Chen Xu received his PhD degree from East China Normal University (ECNU) in 2014 and Bachelor degree from Hefei University of Technology (HFUT) in 2009. In 2011, Chen studied as visiting student at The University of Queensland (UQ) supported by a research fellowship from UQ. He held the honors of outstanding graduates from ECNU and HFUT as well as Anhui provincial government of P.R. China. He was the winner of the National Scholarship from Ministry of Education of P.R. China in 2008. Chen has publications in academic journal such as Distributed and Parallel Databases (DAPD), and conferences including ICDE, DASFAA, etc. He is serving as a reviewer of Frontier of Computer Science (FCS). His research interest includes data management for data-intensive computing, large-scale data analysis, etc. Aoying Zhou is a professor on Computer Science at East China Normal University (ECNU), where he is heading the Institute for Data Science and Engineering. He got his master and bachelor degree in Computer Science from Sichuan University, in 1988 and 1985 respectively, and he won his Ph.D. degree from Fudan University in 1993. Before joining ECNU in 2008, Aoying worked for Fudan University at the Computer Science Department for 15 years. He is the winner of the National Science Fund for Distinguished Young Scholars supported by NSFC and the professorship appointment under Changjiang Scholars Program of Ministry of Education in China. He is now acting as a vice-director of ACM SIGMOD China and Database Technology Committee of China Computer Federation. He is serving as a member of the editorial boards VLDB Journal, WWW Journal, and etc. His research interests include Web data management, data management for data-intensive computing, memory cluster computing, benchmarking for big data and performance.

Bibliographic Information

Publish with us