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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, S Sakr, AY Zomaya (ed), Switzerland (2018) [Entry]
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 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 Details
Item Type: | Entry |
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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 |
Downloads: | 0 |
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