—Data-intensive Grid applications require huge data transferring between multiple geographically separated computing nodes where computing tasks are executed. For a future WDM ne...
Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. A LambdaGri...
Existing software scheduling techniques limit the functions that can be implemented in software to those with a restricted class of timing constraints, in particular those with a c...
Heterogeneous distributed environments or grid environments provide large computing resources for the execution of large scientific applications. The effective use of those plat...
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...