Performance prediction of parallel computing models to analyze cloud-based big data applications-Reference-Cited by-同舟云学术

Performance prediction of parallel computing models to analyze cloud-based big data applications

Published:2017-11-23 Issue:2 Volume:21 Page:1439-1454
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Shen Chao,Tong Weiqin,Choo Kim-Kwang Raymond,Kausar Samina

Funder

Shanghai Innovation Action Plan Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s10586-017-1385-3/fulltext.html

Reference35 articles.

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2. Liu, X.D., Tong, W.Q., Zhi, X.L., Fu, Z.R., Liao, W.Z.: Performance analysis of cloud computing services considering resources sharing among virtual machines. J Supercomput, pp. 357-374 (2014)

3. Nita, M.-C., Pop, F., Voicu, C., Dobre, C., Xhafa, F.: MOMTH: multi-objective scheduling algorithm of many tasks in Hadoop. Clust. Comput. J. Netw. Softw. Tools Appl. 18, 1011–1024 (2015)

4. Evans, J.J., Lucas, C.E.: Parallel application-level behavioral attributes for performance and energy management of high-performance computing systems. Clust. Comput. J. Netw. Softw. Tools Appl. 16, 91–115 (2013)

5. Sandhu, R., Sood, S.K.: Scheduling of big data applications on distributed cloud based on QoS parameters. Clust. Comput. J. Netw. Softw. Tools Appl. 18, 817–828 (2015)

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