Cloud resource provisioning: survey, status and future research directions-Reference-Cited by-同舟云学术

Cloud resource provisioning: survey, status and future research directions

Published:2016-02-26 Issue:3 Volume:49 Page:1005-1069
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Singh Sukhpal^ORCID,Chana Inderveer

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-016-0922-3.pdf

Reference117 articles.

1. Singh S, Chana I (2015) Q-aware: quality of service based cloud resource provisioning. Comput Electr Eng. doi: 10.1016/j.compeleceng.2015.02.003

2. Singh S, Chana I (2015) QRSF: QoS-aware resource scheduling framework in cloud computing. J Supercomput 71(1):241–292

3. Salah K (2013) A queueing model to achieve proper elasticity for cloud cluster jobs. In: 2013 IEEE sixth international conference on cloud computing (CLOUD). IEEE

4. Salah K, Calero JMA, Zeadally S, Al-Mulla S, Alzaabi M (2013) Using Cloud computing to implement a security overlay network. IEEE Secur Privacy 11(1):44–53

5. Singh S, Chana I (2014) Formal specification language based IaaS cloud workload regression analysis. arXiv preprint arXiv:1402.3034 . Retrieved from http://arxiv.org/ftp/arxiv/papers/1402/1402.3034.pdf

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