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Orchestration Tools for Big Data

Citation

Garg, S and Wang, S and Ranjan, R, Orchestration Tools for Big Data, Encyclopedia of Big Data Technologies, Springer Nature Switzerland, S Sakr, AY Zomaya (ed), Switzerland, pp. 1-9. ISBN 978-3-319-63962-8 (2018) [Research Book Chapter]

Copyright Statement

Copyright 2018 Springer International Publishing AG

DOI: doi:10.1007/978-3-319-63962-8_43-1

Abstract

Recent advances in big data technologies such as Hadoop, Storm, Spark, and NoSql databases have ease the task of developing application solutions. However, having such a heterogeneity of tools for different data processing tasks also makes the process complex. Most big data solutions design, implementation, deployment, and management require expert knowledge in different technologies and tools, thus making orchestration process a challenging task. This challenge is aggravated by userís quality of service requirements and variability of big data and underline cloud infrastructure. This chapter gives an overview of different operations in orchestration of big data solutions, orchestration challenges, and state of the art and details different open issues of big data orchestration.

Item Details

Item Type:Research Book Chapter
Keywords:cloud computing, big data, map reduce
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
UTAS Author:Garg, S (Dr Saurabh Garg)
UTAS Author:Wang, S (Mr Siqi Wang)
ID Code:129050
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-11-06
Last Modified:2018-12-04
Downloads:0

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