Association for Computing Machinery
In this paper the authors describe their joint research on performance engineering methods for services in shared resource utilities. The techniques support the automated sizing of a customized service instance and the automated creation of performance validation tests for the instance. The performance tests permit fine-grained control over inter-arrival time and service time burstiness to validate sizing and facilitate the development and validation of adaptation policies. Their novel research on sizing also takes into account the impact of workload factors that contribute to such burstiness.