Integer and combinatorial optimization
Integer and combinatorial optimization
Communications of the ACM
Enterprise JavaBeans
On choosing a task assignment policy for a distributed server system
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
H-BLOB: a hierarchical visual clustering method using implicit surfaces
Proceedings of the conference on Visualization '00
Analyzing robot behavior in e-business sites
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
SEDA: an architecture for well-conditioned, scalable internet services
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Visualizing Informationon a Sphere
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
A Java-Based Visual Mining Infrastructure and Applications
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Scalable Web Server Cluster Design with Workload-Aware Request Distribution Strategy WARD
WECWIS '01 Proceedings of the Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01)
Scalable content-aware request distribution in cluster-based networks servers
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Server allocation algorithms for tiered systems
COCOON'05 Proceedings of the 11th annual international conference on Computing and Combinatorics
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In the TAO project we develop metrics, models, and infrastructure to effectively manage the performance of Web applications. We use WebMon, a novel instrumentation tool to obtain profile data for web interactions, from end-user and system component perspectives. Our analysis techniques help determine important classes of web users and their transactions. The analysis is embedded in visualization and optimization modules, enabling efficient reporting for system and business administrators, and automated resource scheduling and planning. In this paper we present an overview of TAO, and highlight some of its novel aspects, e.g., use of pixel-bar charts, web request classification, and integrated demand and capacity planning.