Proceedings of the 6th international workshop on Hardware/software codesign
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
Gathering at the well: creating communities for grid I/O
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
HEPGRID2001: A Model of a Virtual Data Grid Application
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
Chameleon: A Resource Scheduler in A Data Grid Environment
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Job Superscheduler Architecture and Performance in Computational Grid Environments
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
A framework for reliable and efficient data placement in distributed computing systems
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part I
A comparison of local and gang scheduling on a Beowulf cluster
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
Job scheduling and data replication on data grids
Future Generation Computer Systems
The portable batch scheduler and the maui scheduler on linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
An adaptive meta-scheduler for data-intensive applications
International Journal of Grid and Utility Computing
A Cooperative Game Framework for QoS Guided Job Allocation Schemes in Grids
IEEE Transactions on Computers
Cooperative power-aware scheduling in grid computing environments
Journal of Parallel and Distributed Computing
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
Scalable and distributed mechanisms for integrated scheduling and replication in data grids
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Integration of scheduling and replication in data grids
HiPC'04 Proceedings of the 11th international conference on High Performance Computing
Computers and Operations Research
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This paper presents a novel heuristic approach, named JDS-HNN, to simultaneously schedule jobs and replicate data files to different entities of a grid system so that the overall makespan of executing all jobs as well as the overall delivery time of all data files to their dependent jobs is concurrently minimized. JDS-HNN is inspired by a natural distribution of a variety of stones among different jars and utilizes a Hopfield Neural Network in one of its optimization stages to achieve its goals. The performance of JDS-HNN has been measured by using several benchmarks varying from medium- to very-large-sized systems. JDS-HNN's results are compared against the performance of other algorithms to show its superiority under different working conditions. These results also provide invaluable insights into scheduling and replicating dependent jobs and data files as well as their performance related issues for various grid environments.