Resource management constitutes an important infrastructural component of a computational grid environment. The aim of grid resource management is to efficiently schedule applicat...
Junwei Cao, Stephen A. Jarvis, Daniel P. Spooner, ...
The growing computational power requirements of grand challenge applications has promoted the need for linking highperformance computational resources distributed across multiple ...
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...