A probabilistic model for performance analysis of cloud infrastructures-Reference-Cited by-同舟云学术

A probabilistic model for performance analysis of cloud infrastructures

Published:2015-05-19 Issue:17 Volume:27 Page:4784-4796
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Chen Peng¹,Xia Yunni²,Pang Shanchen³,Li Jia⁴

Affiliation:

1. College of Computer Science Sichuan University Chengdu 610063 China

2. Software Theory and Technology Chongqing Key Lab Chongqing University Chongqing 400030 China

3. School of Computer and Communication Engineering China University of Petroleum Qingdao 266580 China

4. Chongqing Technology and Business Institute Chongqing 400052 China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.3462

Reference20 articles.

1. QoS Guarantees and Service Differentiation for Dynamic Cloud Applications

2. QoS Ranking Prediction for Cloud Services

3. Timed Compatibility Analysis of Web Service Composition: A Modular Approach Based on Petri Nets

4. OstermannS IosupR YigitbasiN FahringerT.A performance analysis of EC2 cloud computing services for scientific computing.Proceedings of the International Conference on Cloud Computing Munich Germany October2009;931–945.

5. DeelmanE SinghG LivnyM BerrimanJB GoodJ.The cost of doing science on the cloud: the Montage example.Proceedings of International Conference on High Performance Computing Network Storage and Analysis Portland Oregon US Nov.2008;1–12.

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