On the Performance Regularity of Web Servers

Authors:
Yibei Ling;Shigang Chen;Xiaola Lin
Affiliations:
Applied Research Laboratories, Telcordia Technologies, Piscataway, USA 08854-4157;Department of Computer Science & Information Science & Engineering, University of Florida, Gainesville, USA 32611;Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong
Venue:
World Wide Web
Year:
2004

Citing 6
Cited 1

Characterizing computer performance with a single number

Communications of the ACM
Configuration and capacity planning for Solaris Servers

Configuration and capacity planning for Solaris Servers
Benchmark Handbook: For Database and Transaction Processing Systems

Benchmark Handbook: For Database and Transaction Processing Systems
Computer Architecture and Parallel Processing

Computer Architecture and Parallel Processing
Server Capacity Planning for Web Traffic Workload

IEEE Transactions on Knowledge and Data Engineering
Measuring the capacity of a web server

USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems

Utilization analysis of servers in a data centre

ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

The performance regularity is concerned with the overall performance behavior of a system in the full spectrum of working area. Such a performance characteristic is generally overlooked and does not receive proper attention. The aim of this paper is twofold. First, it raises awareness of the importance of the performance regularity of a Web server. Secondly, it introduces the Gini performance coefficient (GPC) as a scale-invariant metric for measuring the performance regularity. In this paper, we present the theorems that relate the performance regularity of a Web server to the GPC, thereby providing a quantitative yardstick that complements the system capacity metric such as maximum throughput for measuring the system performance. To illustrate the use of the proposed approach, we calculate the values of GPC for several representative systems that were used in the public SPECweb96 benchmark study. The results are completely in line with our theoretical analysis.