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Rough Set Based Quality of Service Design for Service Provisioning in Clouds

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Book cover Rough Sets and Knowledge Technology (RSKT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6954))

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Abstract

Quality of Service (QoS) is a broad term used to describe the overall experience a user or application will receive over a network. A rough set based approach is used to design a modified Cloud-QoS Management Strategy (MC-QoSMS). MC-QoSMS is a component of cloud broker that is used to allocate resources based on Service Level Agreement between users and providers for Infrastructure as a Service (IaaS) provisioning of cloud. Concept of reduct from rough set theory is used to allocate the best service provider to the cloud’s user with minimum searching time. The performance of the proposed system has been analyzed in terms of number of requests. It is reported that the system outperformed random algorithm by 25% and the round robin algorithm by 30% for 100 requests.

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References

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Author information

Authors and Affiliations

  1. Grid Computing Labaratory, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India

    Praveen Ganghishetti, Rajeev Wankar, Rafah M. Almuttairi & C. Raghavendra Rao

Authors
  1. Praveen Ganghishetti
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  2. Rajeev Wankar
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  3. Rafah M. Almuttairi
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  4. C. Raghavendra Rao
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, S4S 0A2, Saskatchewan, Canada

    JingTao Yao

  2. Department of Applied Computer Science, University of Winnipeg, R3B 2E9, Winnipeg, Canada

    Sheela Ramanna

  3. Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, P.R. China

    Guoyin Wang

  4. Chair of Computer Science, University of RzeszĂłw, Poland

    Zbigniew Suraj

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© 2011 Springer-Verlag Berlin Heidelberg

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Ganghishetti, P., Wankar, R., Almuttairi, R.M., Rao, C.R. (2011). Rough Set Based Quality of Service Design for Service Provisioning in Clouds. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_36

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  • DOI: https://doi.org/10.1007/978-3-642-24425-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24424-7

  • Online ISBN: 978-3-642-24425-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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