A multi-parameter scheduling method of dynamic workloads for big data calculation in cloud computing

Workload scheduling in cloud computing is currently an active research field. Scheduling plays an important role in cloud computing performance, especially when the platform is used for big data analysis and as less predictable workloads dynamically enter the clouds. Finding the optimized scheduling...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 73; no. 11; pp. 4796 - 4822
Main Authors:	Hanani, Ali, Rahmani, Amir Masoud, Sahafi, Amir
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2017 Springer Nature B.V
Subjects:	Big Data Cloud computing Compilers Computer Science Data analysis Data management Interpreters Mathematical analysis Monte Carlo simulation Optimization Processor Architectures Programming Languages Scheduling Similarity Virtual environments Workloads Cloud computing Workload scheduling Virtual clustering Throughput Big data Optimization
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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