Grid is a network of computational resources that may potentially span many continents.
Maximization of the resource utilization hinges on the implementation of an efficient load …

With the rapid development of high-speed wide-area networks and powerful yet low-cost
computational resources, grid computing has emerged as an attractive computing paradigm …

Computational grids have the potential computing power for solving large-scale scientific
computing applications. To improve the global throughput of these applications, workload …

In this paper we propose a new architecture for grid computing service which allows grid
users with limited resources to do any kind of computation using grid shared hardware …

Stochastic automata networks (SANs) have gained great interest within the performance-
modeling community because of their natural ability to capture parallel and distributed …

This paper addresses the problem of scheduling and load balancing in heterogeneous
computational grids. We proposed a two-level load balancing policy for the multi-cluster grid …

Performance enhancement is one of the most important issues in high performance
distributed computing systems. In such computing systems, online users submit their jobs …

This paper proposes a dynamic workload's threshold-based scheduling and load balancing
algorithm for distributed computing systems. It takes into account the dynamicity and …

In this paper we propose a new load balancing algorithm for the grid computing service. The
proposed load balancing is based on the CPU speed of the workers in the grid system. We …

This paper addresses the problem of scheduling and load balancing in heterogeneous
computational grids. We proposed a two-level load balancing policy for the multi-cluster grid …