Dynamic mapping of a class of independent tasks onto heterogeneous computing systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
Scheduling Resources in Multi-User, Heterogeneous, Computing Environments with SmartNet
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Segmented Min-Min: A Static Mapping Algorithm for Meta-Tasks on Heterogeneous Computing Systems
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
SmartNet: a scheduling framework for heterogeneous computing
ISPAN '96 Proceedings of the 1996 International Symposium on Parallel Architectures, Algorithms and Networks
Toward a Synergy Between P2P and Grids
IEEE Internet Computing
Libra: a computational economy-based job scheduling system for clusters
Software—Practice & Experience
Heuristic scheduling for bag-of-tasks applications in combination with QoS in the computational grid
Future Generation Computer Systems - Special issue: Advanced grid technologies
Utility Based Multiple QoS Guaranteed Resource Scheduling Optimization in Grid Computing
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Pricing for Utility-Driven Resource Management and Allocation in Clusters
International Journal of High Performance Computing Applications
Task scheduling in heterogeneous distributed systems with security and QoS requirements
International Journal of Communication Networks and Distributed Systems
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Task scheduling is an integrated component of computing. One of the goals of P2P Grid task scheduling is to achieve high system throughput while matching application needs with the available computing resources. This matching of resources in a nondeterministically shared heterogeneous environment leads to concerns over Quality of Service (QoS). In this paper, we integrate Grid with P2P to propose, a novel approach for QoS guided task scheduling algorithm called QoS guided P2P Grid Metascheduler(QPGM) using Min Mean Computation algorithm, which gives improved performance on load balancing and generates an optimal schedule so as to complete the tasks in a minimum time and to utilize the resources efficiently. Simulation results demonstrate that QPGM task scheduling algorithm can get better effect for a large scale optimization problem.