Grid computing allows the utilization of vast computational resources for solving complex scientific and engineering problems. However, development tools for Grid applications are...
Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-d...
Junwei Cao, Daniel P. Spooner, Stephen A. Jarvis, ...
Grid jobs often consist of a large number of tasks. If the performance of a statically scheduled grid job is unsatisfactory, one must decide which code of which task should be imp...