Abstract--Since Grid computing systems involve large-scale resource sharing, resource management is central to their operations. Whereas there are more Grid resource management sys...
provide a scalable and adaptable abstraction of the system architecture. Each agent is able to cooperate with other agents and thereby provide service advertisement and discovery f...
A crucial goal for future Grid systems is to strive towards user-centric service provisioning. A way to achieve this is through the use of economics-based resource management. Cur...
This paper addresses the problem of porting distributed parallel applications to the Grid. One of the challenges we address is the change from static homogeneous cluster environmen...
Vladimir Korkhov, Valeria V. Krzhizhanovskaya, Pet...
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
The g-Eclipse framework provides a general, integrated workbench toolset for Grid users, operators and developers. Based on the Open Source Eclipse ecosystem, g-Eclipse supports s...
The emerging Grid is extending the scope of resources to mobile devices and sensors that are connected through unreliable networks. Nowadays the number of mobile device users is in...
The improvements of the luminosity of the Tevatron Collider require large increases in computing requirements for the CDF experiment which has to be able to increase proportionally...
This paper describes the program execution framework being developed by the Grid Application Development Software (GrADS) Project. The goal of this framework is to provide good re...
Ken Kennedy, Mark Mazina, John M. Mellor-Crummey, ...
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, ...