Analysis and modeling of service impacts on system activities,resource workloads and service performance on computer and network systems

Abstract

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.