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SSDBM
2005
IEEE
132views Database» more  SSDBM 2005»
14 years 2 months ago
Co-Scheduling of Computation and Data on Computer Clusters
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
HCW
1999
IEEE
14 years 29 days ago
A Unified Resource Scheduling Framework for Heterogeneous Computing Environments
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared resources, such as compute cycles, memory, communication network, and data repo...
Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S....
SC
2004
ACM
14 years 2 months ago
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Virtual machines provide flexible, powerful execution environments for Grid computing, offering isolation and security mechanisms complementary to operating systems, customization...
Ivan Krsul, Arijit Ganguly, Jian Zhang, José...
SC
2003
ACM
14 years 1 months ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
Hongzhang Shan, Leonid Oliker, Rupak Biswas
CLUSTER
2005
IEEE
14 years 2 months ago
A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters
Interest in Grid computing has grown significantly over the past five years. Management of distributed cluster resources is a key issue in Grid computing. Central to management ...
Rajiv Ranjan, Rajkumar Buyya, Aaron Harwood