Speedup Versus Efficiency in Parallel Systems
IEEE Transactions on Computers
Future Generation Computer Systems - Special issue on metacomputing
Efficient load balancing for wide-area divide-and-conquer applications
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
ATLAS: an infrastructure for global computing
EW 7 Proceedings of the 7th workshop on ACM SIGOPS European workshop: Systems support for worldwide applications
A Performance Analysis of Transposition-Table-Driven Work Scheduling in Distributed Search
IEEE Transactions on Parallel and Distributed Systems
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
HPCA '99 Proceedings of the 5th International Symposium on High Performance Computer Architecture
An Enabling Framework for Master-Worker Applications on the Computational Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Experiences in Programming a Traffic Shaper
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
A framework for adaptive execution in grids
Software—Practice & Experience
GridSAT: A Chaff-based Distributed SAT Solver for the Grid
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Fault-Tolerance, Malleability and Migration for Divide-and-Conquer Applications on the Grid
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Ibis: a flexible and efficient Java-based Grid programming environment: Research Articles
Concurrency and Computation: Practice & Experience - 2002 ACM Java Grande–ISCOPE Conference Part II
Self adaptivity in Grid computing: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
Simple Locality-Aware Co-allocation in Peer-to-Peer Supercomputing
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
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
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Resource tracking in parallel and distributed applications
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Towards an Adaptive Grid Scheduling: Architecture and Protocols Specification
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Satin: A high-level and efficient grid programming model
ACM Transactions on Programming Languages and Systems (TOPLAS)
Adaptive execution of jobs in computational grid environment
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Adaptive grid resource selection based on job history analysis using Plackett-Burman designs
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Self-adaptive deployment of parametric sweep applications through a complex networks perspective
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Strategies for Rescheduling Tightly-Coupled Parallel Applications in Multi-Cluster Grids
Journal of Grid Computing
Concurrency and Computation: Practice & Experience
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
The small-world phenomenon applied to a self-adaptive resources selection model
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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Grids are inherently heterogeneous and dynamic. One important problemin grid computing is resource selection, that is, finding anappropriate resource set for the application. Another problem is adaptation to the changing characteristics of the grid environment. Existing solutions to these two problems require that a performance model for an application is known. However, constructing such models is a complex task. In this paper, we investigate an approach that does not require performance models. We start an application on any set of resources. During the application run, we periodically collect the statistics about the application run and deduce application requirements from these statistics. Then, we adjustthe resource set to better fit the application needs. This approach allows us to avoid performance bottlenecks, such as overloaded WAN links or very slow processors, and therefore can yield significant performance improvements. We evaluate our approach in a number of scenarios typical for the Grid.