System resource utilization analysis and prediction for cloud based applications under bursty workloads-Reference-Cited by-同舟云学术

System resource utilization analysis and prediction for cloud based applications under bursty workloads

Published:2014-09 Issue: Volume:279 Page:338-357
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yin Jianwei,Lu Xingjian,Chen Hanwei,Zhao Xinkui,Xiong Neal N.

Funder

National Natural Science Foundation of China

National High-Tech Research Program of China

Ministry of Education of China

Zhejiang Provincial Natural Science Foundation of China

Science and technology Program of Zhejiang Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

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2. Generating representative web workloads for network and server performance evaluation;Barford;SIGMETRICS Perform. Eval. Rev.,1998

3. I. Boutsis, V. Kalogeraki, Radar: adaptive rate allocation in distributed stream processing systems under bursty workloads, in: IEEE 31st Symposium on Reliable Distributed Systems (SRDS), IEEE, 2012, pp. 285–290.

4. How to parameterize models with bursty workloads;Casale;ACM SIGMETRICS Perform. Eval. Rev.,2008

5. Model-driven system capacity planning under workload burstiness;Casale;IEEE Trans. Comput.,2010

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