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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 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:	Book Section
Authors/Creators:	Garg, S and Wang, S and Ranjan, R
Keywords:	cloud computing, big data, map reduce
Publisher:	Springer Nature Switzerland
DOI / ID Number:	10.1007/978-3-319-63962-8_43-1
Copyright Information:	Copyright 2018 Springer International Publishing AG
Related URLs:	Google Scholar: Garg, S UTAS Profile: Garg, S
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