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A Session-Based Adaptive Admission Control Approach for Virtualized Application Servers

Adnan Ashraf, Benjamin Byholm, Ivan Porres, A Session-Based Adaptive Admission Control Approach for Virtualized Application Servers. In: Carlos Varela, Manish Parashar (Eds.), The 5th IEEE/ACM International Conference on Utility and Cloud Computing, 65–72, IEEE Computer Society, 2012.

http://dx.doi.org/10.1109/UCC.2012.22

Abstract:

This paper presents a session-based adaptive admission control approach for virtualized application servers called ACVAS (adaptive Admission Control for Virtualized Application Servers). ACVAS uses measured and predicted resource utilizations of a server to make admission control decisions for new user sessions. Instead of using the traditional on-off control, it implements per session admission control, which reduces the risk of over-admission. Moreover, instead of relying only on rejection of new sessions, ACVAS takes benefit of the cloud elasticity, which allows dynamic provisioning of cloud resources. It also implements a simple session deferment mechanism that reduces the number of rejected sessions while increasing session throughput. Thus, each admission control decision has three possible outcomes: admit, defer, or reject. Performance under varying user load is guaranteed by automatic adjustment and tuning of the admission control mechanism. The proposed approach is demonstrated in a discrete-event simulation.

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BibTeX entry:

@INPROCEEDINGS{inpAsByPo12a,
  title = {A Session-Based Adaptive Admission Control Approach for Virtualized Application Servers},
  booktitle = {The 5th IEEE/ACM International Conference on Utility and Cloud Computing},
  author = {Ashraf, Adnan and Byholm, Benjamin and Porres, Ivan},
  editor = {Varela, Carlos and Parashar, Manish},
  publisher = {IEEE Computer Society},
  pages = {65–72},
  year = {2012},
  keywords = {Cloud computing; virtualized application server; adaptive admission control; session-based admission control},
}

Belongs to TUCS Research Unit(s): Software Engineering Laboratory (SE Lab)

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