The Design of Rijndael
Analytic Evaluation of Shared-Memory Architectures
IEEE Transactions on Parallel and Distributed Systems
Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers
GRID '02 Proceedings of the Third International Workshop on Grid Computing
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Predictive Application-Performance Modeling in a Computational Grid Environment
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Secure Computer and Network Systems: Modeling, Analysis and Design
Secure Computer and Network Systems: Modeling, Analysis and Design
Learning Application Models for Utility Resource Planning
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Toward Development of Adaptive Service-Based Software Systems
IEEE Transactions on Services Computing
Information-Knowledge-Systems Management
Voice quality prediction models and their application in VoIP networks
IEEE Transactions on Multimedia
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Various services running on computer and network systems compete for shared system resources. Impacts of services on system activities, workloads and performance need to be understood, modeled and used in many system planning and control activities. Due to complex interactions of many system resources e.g., CPU, memory and network and sharing of system resources by various services running at the same time, it is challenging to uncover and model relations of services with their resource workloads and resulting service performance. This paper presents our methodology that uses statistical analysis techniques to analyze empirical data of computer and network dynamics and uncover significant variables of system activities, resource workloads and service performance that are affected by services. Statistical modeling techniques are also employed in our methodology to build quantitative models of service impacts on system resource workloads and service performance. The methodology is illustrated and tested on three services of voice data communication, motion detection, and data encryption.