Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Server Capacity Planning for Web Traffic Workload
IEEE Transactions on Knowledge and Data Engineering
Toward a simulation-generated knowledge base of service performance
Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing
Configuration decision making using simulation-generated data
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
CloudCAP: a case study in capacity planning using the cloud
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
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Service-oriented architectures (SOAs) are being increasingly adopted for the development of distributed applications that involve multiple partner organizations. The main challenge in configuring such applications - whether autonomously or manually - is meeting the service quality expected by the consumers. In this paper, we describe a methodology and corresponding tool implementation for estimating the capacity of alternative configurations of complex service-oriented applications. We use a sophisticated enterprise application with many possible configurations as our test application. The current tool prototype simulates the behavior of the application for a given configuration on an existing network topology. This simulation is relatively coarse-grained, but is capable of tracking several performance indicators. We evaluate this simulation output against actual performance data.