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Volume 28 Issue 6
November  2013
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Ticiana L. Coelho da Silva, Mario A. Nascimento, José Antônio F. de Macêdo, Flávio R. C. Sousa, Javam C. Machado. Non-Intrusive Elastic Query Processing in the Cloud[J]. Journal of Computer Science and Technology, 2013, 28(6): 932-947. DOI: 10.1007/s11390-013-1389-2
Citation: Ticiana L. Coelho da Silva, Mario A. Nascimento, José Antônio F. de Macêdo, Flávio R. C. Sousa, Javam C. Machado. Non-Intrusive Elastic Query Processing in the Cloud[J]. Journal of Computer Science and Technology, 2013, 28(6): 932-947. DOI: 10.1007/s11390-013-1389-2
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Non-Intrusive Elastic Query Processing in the Cloud

  • 1 Department of Computing, Federal University of Ceara, Fortaleza, Ceara, Brazil;
    2 Department of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada

Funds: The preliminary version of the paper was published in the Proceedings of the 4th International Workshop on Cloud Data Management.
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  • Author Bio:

    Ticiana L. Coelho da Silva is an assistant professor at Federal University of Ceara (UFC), Quixada, Brazil, and currently is also a Ph.D. candidate in computer science at UFC. She obtained her M.Sc. and B.Sc. degrees also in computer science at UFC. Her research interests lie in cloud computing, quality of service, query processing, big data and data analytics.

  • Received Date: November 30, 2012
  • Revised Date: May 14, 2013
  • Published Date: November 04, 2013
    Abstract
  • Cloud computing is a very promising paradigm of service-oriented computing. One major benefit of cloud computing is its elasticity, i.e., the system's capacity to provide and remove resources automatically at runtime. For that, it is essential to design and implement an efficient and effective technique that takes full advantage of the system's potential flexibility. This paper presents a non-intrusive approach that monitors the performance of relational database management systems in a cloud infrastructure, and automatically makes decisions to maximize the efficiency of the provider's environment while still satisfying agreed upon\service level agreements" (SLAs). Our experiments conducted on Amazon's cloud infrastructure, confirm that our technique is capable of automatically and dynamically adjusting the system's allocated resources observing the SLA.
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    • References (17)
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