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Architecture of Automated Database Tuning Using SGA Parameters

Author

Listed:
  • Hitesh KUMAR SHARMA

    (ITM University)

  • Aditya SHASTRI

    (Banasthali University,Rajasthan-304022, India)

  • Ranjit BISWAS

    (Jamia Hamdard (Hamdard University))

Abstract

Business Data always growth from kilo byte, mega byte, giga byte, tera byte, peta byte, and so far. There is no way to avoid this increasing rate of data till business still running. Because of this issue, database tuning be critical part of a information system. Tuning a database in a cost-effective manner is a growing challenge. The total cost of ownership (TCO) of information technology needs to be significantly reduced by minimizing people costs. In fact, mistakes in operations and administration of information systems are the single most reasons for system outage and unacceptable performance [3]. One way of addressing the challenge of total cost of ownership is by making information systems more self-managing. A particularly difficult piece of the ambitious vision of making database systems self-managing is the automation of database performance tuning. In this paper, we will explain the progress made thus far on this important problem. Specifically, we will propose the architecture and Algorithm for this problem. Key Words: Database Tuning, DBA, SGA, SGA Parameters, Automated Tuning, TOC.

Suggested Citation

  • Hitesh KUMAR SHARMA & Aditya SHASTRI & Ranjit BISWAS, 2012. "Architecture of Automated Database Tuning Using SGA Parameters," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 3(1), pages 3-10, May.
    • Handle: RePEc:aes:dbjour:v:3:y:2012:i:1:p:3-10
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    Cited by:

    1. Hitesh Kumar SHARMA & S.C. NELSON, 2017. "Performance Enhancement using SQL Statement Tuning Approach," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 8(1), pages 12-21, July.

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