Performance and Scalability Models for a Hypergrowth e-Commerce Web Site

Simple item page
dc.creatorGunther, Neil J.
dc.date2000-12-26
dc.date.accessioned2026-07-07T03:16:49Z
dc.date.available2026-07-07T03:16:49Z
dc.descriptionThe performance of successful Web-based e-commerce services has all the allure of a roller-coaster ride: accelerated fiscal growth combined with the ever-present danger of running out of server capacity. This chapter presents a case study based on the author's own capacity planning engagement with one of the hottest e-commerce Web sites in the world. Several spreadsheet techniques are presented for forecasting both short-term and long-term trends in the consumption of server capacity. Two new performance metrics are introduced for site planning and procurement: the effective demand, and the doubling period.
dc.description15 pages; To appear in the book entitled "Performance Engineering - State of the Art and Current Trends," Lecture Notes in Computer Science, Springer-Verlag Heidelberg, 2001
dc.identifierhttps://arxiv.org/abs/cs/0012022
dc.identifierhttp://arxiv.org/abs/cs/0012022
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30498
dc.subjectPerformance
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectSoftware Engineering
dc.subjectC.4;D.2.8;D.4.8;H.3.5
dc.titlePerformance and Scalability Models for a Hypergrowth e-Commerce Web Site
dc.typetext

Files

Collections

arXiv