Server-Based Dynamic Server Selection Algorithms
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part II
Performance Sensitivity and Fairness of ECN-Aware 'Modified TCP'
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Performance sensitivity and fairness of ECN-aware 'modified TCP'
Performance Evaluation
Research on scheduling algorithms in Web cluster servers
Journal of Computer Science and Technology
Architectural support for operating system-driven CMP cache management
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
| Hi-index | 0.00 |
Abstract One role for workload generation is as a means for understanding how servers and networks respond to variation in load. This enables management and capacity planning based on current and projected usage. This paper applies a number of observations of Web server usage to create a realistic Web workload generation tool which mimics a set of real users accessing a server. The tool, called SURGE (Scalable URL Reference Generator) generates references matching empirical measurements of 1) server file size distribution; 2) request size distribution; 3) relative file popularity; 4) embedded file references; 5) temporal locality of reference; and 6) idle periods of individual users. This paper reviews the essential elements required in the generation of a representative Web workload. It also addresses the technical challenges to satisfying this large set of simultaneous constraints on the properties of the reference stream, the solutions we adopted, and their associated accuracy. Finally, we present evidence that SURGE exercises servers in a manner significantly different from other Web server benchmarks.