This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments. In thi...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Grid computing is moving into two ways. The Computational Grid focuses on reducing execution time of applications that require a great number of computer processing cycles. The Da...
Abstract. In this paper we use colored Petri nets (CPNs) and the supporting CPN Tools for the modeling and performance analysis of grid architectures. The notation of Petri nets is...
Nikola Trcka, Wil M. P. van der Aalst, Carmen Brat...