Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
MedIGrid: A Medical Imaging Application for Computational Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
GrADSolve: a grid-based RPC system for parallel computing with application-level scheduling
Journal of Parallel and Distributed Computing - Special issue on middleware
Communications of the ACM - Medical image modeling
Incorporating 3D virtual anatomy into the medical curriculum
Communications of the ACM - Medical image modeling
Grid-enabling medical image analysis
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Proactive management of service instance pools for meeting service level agreements
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
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Analytic applications from various industrial sectors have specific attributes and requirements including relatively long processing time, parallelization, multiple interactive invocations, web services, and expected quality of service objectives. Current parallel resource management systems for batch-oriented jobs lack the effective support for multiple interactive invocations with consideration in quality of service objectives, while transaction processing systems do not support dynamic creation of parallel application instances. To better serve the analytic applications, a set of additional resource management services, defined as stateful support, introduces the concept of Service Instance and Service Instance Management. This set of stateful support services can be implemented as extension to existing parallel resource management to serve these analytic applications that rapidly increase in the demand of computing power.