Data flow computing
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
WebCom: A Web Based Volunteer Computer
The Journal of Supercomputing
When the Herd Is Smart: Aggregate Behavior in the Selection of Job Request
IEEE Transactions on Parallel and Distributed Systems
Using Queue Time Predictions for Processor Allocation
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Practical Heterogeneous Placeholder Scheduling in Overlay Metacomputers: Early Experiences
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Entropia: architecture and performance of an enterprise desktop grid system
Journal of Parallel and Distributed Computing - Special issue on computational grids
An extensible job scheduling system for massively parallel processor architectures
An extensible job scheduling system for massively parallel processor architectures
Using moldability to improve the performance of supercomputer jobs
Using moldability to improve the performance of supercomputer jobs
Adaptive scheduling of master/worker applications on distributed computational resources
Adaptive scheduling of master/worker applications on distributed computational resources
A grid computing infrastructure for monte carlo applications
A grid computing infrastructure for monte carlo applications
Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WS-Reliable Messaging and More
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Webcom-G: grid enabled metacomputing
Neural, Parallel & Scientific Computations - Special issue: Grid computing
Predicting bounds on queuing delay for batch-scheduled parallel machines
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
A grid application development platform for WebCom-G
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Designing a runtime system for volunteer computing
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
The portable batch scheduler and the maui scheduler on linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Fine-Grained Workflow in Heterogeneous Environments
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
A workflow model for heterogeneous computing environments
Future Generation Computer Systems
The MarineGrid project in Ireland with Webcom
Computers & Geosciences
Adaptive job scheduling via predictive job resource allocation
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Wave scheduler: scheduling for faster turnaround time in peer-based desktop grid systems
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Resource aggregation and workflow with webcom
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
Rule-driven service coordination middleware for scientific applications
Future Generation Computer Systems
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Accurate radiotherapy plans are a vital tool in combating cancer. The verification of such plans is a computationally intensive task, and providing clinical experts with access to sufficient resources to conduct plan verification simulations in a suitable and timely manner is a genuine challenge. In this paper we present a new approach to the problem, incorporating the Monte Carlo method for treatment verification. A fully integrated radiotherapy treatment verification workflow built on the BEAM simulation package has been developed within the scope of this work. The Monte Carlo approach is recognized as being superior to the standard clinical techniques available. To be useful in clinical practice, accurate results must be generated within a short time frame. Consequently, turnaround times must be predictable, and results must be of a consistently high standard. These requirements are the key challenges that drive this work. The development of this application is being conducted within the context of the Webcom project. Webcom is an interpreter for a graph-oriented model of computing, implemented as a distributed virtual machine. This platform has been used to construct a workflow tool suite and a novel methodology for dynamic resource federation. These components are applied to the execution of Monte Carlo radiotherapy simulation application on heterogeneous dynamically coordinated resources. The Webcom-based model of workflow management facilitates the execution of resource intensive workflows and provides a basis for the development of scalable services in the heterogeneous environments formed through the dynamic aggregation of mixed autonomous resources. We discuss the motivation behind the project and present the methodology, describe the software design of the current implementation, and demonstrates the utility of the system via experiments conducted in a real and deeply heterogeneous testbed environment.