GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
A Centralized Data Access Model for Grid Computing
MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Improving grid resource allocation via integrated selection and binding
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Adaptive pricing for resource reservations in Shared environments
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Rescheduling co-allocation requests based on flexible advance reservations and processor remapping
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
HARC: the highly-available resource co-allocator
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
New challenges of parallel job scheduling
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Impact of reservations on production job scheduling
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Service control with the preemptive parallel job scheduler Scojo-PECT
Cluster Computing
Trestles: a high-productivity HPC system targeted to modest-scale and gateway users
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
Multi-domain job coscheduling for leadership computing systems
The Journal of Supercomputing
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As grid computing becomes more commonplace, so does the importance of coscheduling these geographically distributed resources. Negotiating resource management and scheduling decisions for these resources is similar to making travel arrangements: guesses are made and then remade or confirmed depending on the availability of resources. This “Travel Agent Method” serves as the basis for a production scheduler and metascheduler suitable for making travel arrangements for a grid. This strategy is more easily implemented than centralized metascheduler because arrangements can be made without requiring control over the individual schedulers for each resource: the reservations are set by users or automatically by negotiating with each local scheduler's user settable interface. The Generic Universal Remote is a working implementation of such a system and proves that a user-settable reservation facility on local schedulers in a grid is sufficient to enable automated metascheduling.