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Characterizing the Scalability of a Large Web-based Shopping System
Arlitt, Martin; Krishnamurthy, Diwakar; Rolia, Jerry
HPL-2001-110R1
Keyword(s): e-commerce; performance; scalability; workload characterization; clustering
Abstract: This paper presents an analysis of five days of workload data from a large Web-based shopping system. The multi-tier environment of this Web-based shopping system includes Web servers, application servers, database servers and an assortment of load balancing and firewall appliances. We characterize user requests and sessions and determine their impact on system performance and scalability. The purpose of our study is to assess scalability and support capacity planning exercises for the multi-tier system. We find that horizontal scalability is not always an adequate mechanism for supporting increased workloads and that personalization and robots can have a significant impact on system scalability. Notes: Copyright ACM Published in ACM Transactions on Internet Technology, Volume 1, Number 1, August, 2001
45 Pages
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