A security architecture for computational grids
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
High Performance Computing in Power System Applications
VECPAR '96 Selected papers from the Second International Conference on Vector and Parallel Processing
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
Graph Partitioning Algorithms with Applications to Scientific Computing
Graph Partitioning Algorithms with Applications to Scientific Computing
Kernel k-means: spectral clustering and normalized cuts
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
An adaptive scheme for predicting the usage of grid resources
Computers and Electrical Engineering
Computers and Electrical Engineering
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This paper addresses the problem of parallel dynamic security assessment applications from static homogeneous cluster environment to dynamic heterogeneous grid environment. Functional parallelism and data parallelism are supported by each of the message passing interface model and TCP/IP model. To consider the differences in heterogeneous computing resources and complexity of large-scale power system communities, a kernel-based multilevel algorithm is proposed for network partitioning. Since the bottleneck in distributed computation is low speed network communication, a bi-level latency exploitation technique is introduced for numerically solving system differential equations. The proposed grid-based implementation includes the core simulation engine, grid computing middleware, a Python interface and Python front-end utilities. Tests for a 39-bus network, a 4000-bus network and a 10,000-bus network are reported, and the results of these experiments demonstrate that the proposed scheme is able to execute the distributed simulations on computational grid infrastructure and provide efficient parallelism.