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50,000 users on an Oracle8 universal server database

Published:01 June 1998Publication History

ABSTRACT

In this paper, we describe the Oracle Large User Population Demonstration and highlight the scalability mechanisms in the Oracle8 Universal Data Server which make it possible to support as many as 50,000 concurrent users on a single Oracle8 database without any middle-tier TP-monitor software. Supporting such large user populations requires many mechanisms for high concurrency and throughput. Algorithms in all areas of the server ranging from process and buffer management to SQL compilation and execution must be designed to be highly scalable. Efficient resource sharing mechanisms are required to prevent server-side resource requirements from growing unboundedly with the number of users. Parallel execution across multiple systems is necessary to allow user-population and throughput to scale beyond the restrictions of a single system. In addition to scalability, mechanisms for high availability, ease-of-use, and rich functionality are necessary for supporting complex user applications typical of realistic workloads. All mechanisms must be portable to a wide variety of installations ranging from desk-top systems to large scale enterprise servers and to a wide variety of operating systems.

References

  1. 1.W.Bridge, A.Joshi, M.Keihl, T.Lahiri, J.Loaiza, N. Macnaughton "The Oracle Universal Server Buffer Manager" Proceedings of the VLDB conference, August 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.B.Klots, S.Chatterjee "Cache Coherency In Oracle Parallel Server" Proceedings of the VLDB Conference, September 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Oracle Corporation Part Numbers A54646-01 and A54644-01 Oracle8 Server Concepts Volume I and H: June 1997Google ScholarGoogle Scholar

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  1. 50,000 users on an Oracle8 universal server database

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              cover image ACM Conferences
              SIGMOD '98: Proceedings of the 1998 ACM SIGMOD international conference on Management of data
              June 1998
              599 pages
              ISBN:0897919955
              DOI:10.1145/276304

              Copyright © 1998 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 June 1998

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