Scheduling precedence graphs in systems with interprocessor communication times
SIAM Journal on Computing
Introduction to algorithms
Task scheduling in parallel and distributed systems
Task scheduling in parallel and distributed systems
QoS-aware resource management for distributed multimedia applications
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Grain Size Determination for Parallel Processing
IEEE Software
IEEE Transactions on Parallel and Distributed Systems
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Scheduling Co-Reservations with Priorities in Grid Computing Systems
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Resource management in metacomputing environments (parallel computing)
Resource management in metacomputing environments (parallel computing)
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
IEEE Communications Magazine
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Tasks running in computational Grids may require simultaneous access to multiple resources. To ensure QoS of applications, tasks commonly make resource reservation in advance. Thus, it is necessary for tasks which require multiple resources to make resource co-reservation in advance. This paper gives general models for resources shared in computational Grids and parallel tasks running in computational Grids. A general resource co-reservation model is also proposed. We argue that the resource co-reservation model can improve the performance of resource co-reservation for parallel tasks while keeping the autonomy of resources. Based on these models, resource co-reservation heuristics are presented and their performance is analyzed.