Stork: Making Data Placement a First Class Citizen in the Grid
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
A framework for adaptive execution in grids
Software—Practice & Experience
A Peer-to-Peer Replica Location Service Based on a Distributed Hash Table
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
The GrADS Project: Software Support for High-Level Grid Application Development
International Journal of High Performance Computing Applications
Virtual data Grid middleware services for data-intensive science: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Choreography for the Grid: towards fitting BPEL to the resource framework: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Scientific Programming
INFORM: integrated flow orchestration and meta-scheduling for managed grid systems
Proceedings of the 2007 ACM/IFIP/USENIX international conference on Middleware companion
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR
International Journal of High Performance Computing Applications
BPEL4Job: A Fault-Handling Design for Job Flow Management
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
DECO: data replication and execution CO-scheduling for utility grids
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
An experimental system for grid meta-broker evaluation
Proceedings of the 1st ACM workshop on Large-Scale system and application performance
A Survey of Cloud Platforms and Their Future
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Grid broker selection strategies using aggregated resource information
Future Generation Computer Systems
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Grid computing, as a specific model of distributed systems, has sparked recent interest in managing job execution among distributed resource domains. Introduction of the meta-scheduler is a key feature in grid evolution, and the next step is to achieve collaborative interactions between meta-schedulers within and external to organizational boundaries to achieve scalability, balanced resource utilization, and location transparency to job submitters. This paper details a distributed system design that consists of a collaborative meta-scheduling framework, and an expanded resource model with schedulers and data as resources. With this framework, we also explore job scheduling and data management issues, and investigate job flow and meta-scheduling interactions for new applications that require job execution beyond simple sequential and conditional control.