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 user’s 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 Type:	Entry
Keywords:	cloud computing, big data, map reduce
Research Division:	Information and Computing Sciences
Research Group:	Distributed computing and systems software
Research Field:	Distributed systems and algorithms
Objective Division:	Information and Communication Services
Objective Group:	Information systems, technologies and services
Objective Field:	Information systems, technologies and services not elsewhere classified
UTAS Author:	Garg, S (Dr Saurabh Garg)
UTAS Author:	Wang, S (Mr Siqi Wang)
ID Code:	127746
Year Published:	2018
Deposited By:	Information and Communication Technology
Deposited On:	2018-08-13
Last Modified:	2019-12-23
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