In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunit...
Tal Lavian, Joe Mambretti, Doug Cutrell, Howard J....
Grid computing aims to connect large numbers of geographically and organizationally distributed resources to increase computational power, resource utilization, and resource acces...
Grid computing promises the ability to share geographically and organizationally distributed resources to increase effective computational power and resource utilization. However,...
Youn-Seok Kim, Jung-Lok Yu, Jae-Gyoon Hahm, Jinsoo...
We describe design and implementation of a "Gridenabled" message passing library, in the context of Phoenix message passing model. It supports (1) message routing betwee...
The Application Service Hosting Platform (ASHP) has recently received tremendous attention from both industry and academia. An ASHP provides a shared highperformance infrastructur...
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The curr...
Silvia M. Figueira, Sumit Naiksatam, Howard J. Coh...
The notion of lambda-Grids posits plentiful collections of computing and storage resources richly interconnected by dedicated dense wavelength division multiplexing (DWDM) optical...