Classifying E-commerce workloads under dynamic caching

Fujian Liu, Dwight Makaroff, Said Elnaffar

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)


    In an E-commerce system, the database server performance is crucial. Dynamic caching is often used to reduce the load on the database server, which reduces the need for scalability within the server itself. A good understanding of the workload characteristics of the database server in an E-commerce environment is important to the design, tuning, and capacity planning. Using dynamic caching can dramatically alter the characteristics of requests that the database server receives, changing the dominant operations, even the workload type. The two major database workload classifications are online analytical processing and online transaction processing. Allocations for resources such as main memory can be very different, depending on the workload type. We investigate the E-commerce activity profiles resulting from dynamic caching. We find that dynamic caching does tend to alter the behavior towards transaction processing.

    Original languageEnglish
    Pages (from-to)2819-2824
    Number of pages6
    JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Publication statusPublished - 2005
    EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
    Duration: Oct 10 2005Oct 12 2005

    ASJC Scopus subject areas

    • General Engineering


    Dive into the research topics of 'Classifying E-commerce workloads under dynamic caching'. Together they form a unique fingerprint.

    Cite this