The AppLeS parameter sweep template: user-level middleware for the grid
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
An approach to grid resource selection and fault management based on ECA rules
Future Generation Computer Systems
QoS-based scheduling of workflow applications on grids
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Active Grid Information Server for grid computing
The Journal of Supercomputing
Active rule learning using decision tree for resource management in Grid computing
Future Generation Computer Systems
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Task scheduling is an integrated component of computing. With the emergence of grid and ubiquitous computing, newer challenges have arisen in task scheduling. Unlike traditional parallel computing, grid is a shared enterprising environment where is no central control. The goal of grid task scheduling is to achieve high system throughput and to match the application needs with the available computing resources. This matching of resources in a non-deterministically shared heterogeneous environment leads to concerns on Quality of Service (QoS). The paper presents a novel solution based on Active database to assure Quality of Services in grid computing systems. Active database accommodates some actions to be done automatically by insert, delete or update transactions. In this reason the best matching is obtained by using the most up to date information. Some comparison with other solutions had been done. As a result, our solution is safe factory and acceptable in the limits of performance.