A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
An evaluation of parallel job scheduling for ASCI Blue-Pacific
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
ACM Computing Surveys (CSUR)
IEEE Transactions on Parallel and Distributed Systems
Resource Allocation and Scheduling in Metasystems
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Metrics and Benchmarking for Parallel Job Scheduling
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Developments from a June 1996 seminar on Online algorithms: the state of the art
Scheduling From the Perspective of the Application
HPDC '96 Proceedings of the 5th 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
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
The workload on parallel supercomputers: modeling the characteristics of rigid jobs
Journal of Parallel and Distributed Computing
A framework for adaptive execution in grids
Software—Practice & Experience
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Improving Goodput by Coscheduling CPU and Network Capacity
International Journal of High Performance Computing Applications
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
A batch scheduler with high level components
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Experiences with the KOALA co-allocating scheduler in multiclusters
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Grid capacity planning with negotiation-based advance reservation for optimized QoS
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Advanced resource connector middleware for lightweight computational Grids
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
Standardization of an API for Distributed Resource Management Systems
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Sharing networked resources with brokered leases
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
Future Generation Computer Systems
How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Are user runtime estimates inherently inaccurate?
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Modeling user runtime estimates
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
The characteristics and performance of groups of jobs in grids
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
An experimental system for grid meta-broker evaluation
Proceedings of the 1st ACM workshop on Large-Scale system and application performance
An SLA-based resource virtualization approach for on-demand service provision
VTDC '09 Proceedings of the 3rd international workshop on Virtualization technologies in distributed computing
The impact of virtualization on the performance of Massively Multiplayer Online Games
Proceedings of the 8th Annual Workshop on Network and Systems Support for Games
International Journal of Advanced Media and Communication
CAMEO: continuous analytics for massively multiplayer online games on cloud resources
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
The gain of resource delegation in distributed computing environments
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Future Generation Computer Systems
Meta-scheduling algorithms for managing inter-cloud interoperability
International Journal of High Performance Computing and Networking
Future Generation Computer Systems
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The grid vision of a single computing utility has yet to materialize: while many grids with thousands of processors each exist, most work in isolation. An important obstacle for the effective and efficient inter-operation of grids is the problem of resource selection. In this paper we propose a solution to this problem that combines the hierarchical and decentralized approaches for interconnecting grids. In our solution, a hierarchy of grid sites is augmented with peer-to-peer connections between sites under the same administrative control. To operate this architecture, we employ the key concept of delegated matchmaking, which temporarily binds resources from remote sites to the local environment. With trace-based simulations we evaluate our solution under various infrastructural and load conditions, and we show that it outperforms other approaches to inter-operating grids. Specifically, we show that delegated matchmaking achieves up to 60% more goodput and completes 26% more jobs than its best alternative.