Introduction to algorithms
Grids and grid technologies for wide-area distributed computing
Software—Practice & Experience
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
RTOS scheduling in transaction level models
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Improving Throughput for Grid Applications with Network Logistics
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Future Generation Computer Systems
Scheduling contention-free irregular redistributions in parallelizing compilers
The Journal of Supercomputing
The Journal of Supercomputing
A survey of job scheduling in grids
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Enhancing security of real-time applications on grids through dynamic scheduling
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
SPHINX: a scheduling middleware for data intensive applications on a grid
International Journal of Internet Protocol Technology
Cloudlet-screen computing: a client-server architecture with top graphics performance
International Journal of Ad Hoc and Ubiquitous Computing
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The development of high-speed network technology, coupled with ever increasingly enhanced computing power and storage capacities, have spawn a new distributed computing paradigm, grid computing. With the emergence of grid technologies, the problems of job scheduling and resource management in heterogeneous systems have been arousing attention. In this paper, we present performance- and economisation-oriented scheduling techniques for managing applications with Quality of Service (QoS) demands in grid. On the basis of the QoS Min-Min algorithm, two optimisation algorithms are proposed in this study. The experimental results show that the proposed techniques provide noticeable improvements in terms of performance and economy for grid applications with QoS demand.