The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme
IEEE Transactions on Software Engineering
On Load Balancing for Distributed Multiagent Computing
IEEE Transactions on Parallel and Distributed Systems
Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Brain Meets Brawn: Why Grid and Agents Need Each Other
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Resource Allocation in the Grid Using Reinforcement Learning
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A spatial model of interaction in large virtual environments
ECSCW'93 Proceedings of the third conference on European Conference on Computer-Supported Cooperative Work
A rule based resources management for collaborative grid environments
International Journal of Internet Protocol Technology
A semantic collaborative awareness model to deal with resource sharing in grids
Future Generation Computer Systems
Covering the cooperative load balancing delivery in collaborative grid environments
Multiagent and Grid Systems - New tendencies on agents and grid environments
An agents-based cooperative awareness model to cover load balancing delivery in grid environments
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
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In this paper, we present a new extension and reinterpretation of one of the most successful models of awareness in Computer Supported Cooperative Work (CSCW), called the Spatial Model of Interaction (SMI), which manage awareness of interaction through a set of key concepts, to manage task delivery in collaborative distributed systems This model , called AMBLE (Awareness Model for Balancing the Load in Collaborative Grid Environments), also applies some theoretical principles of multi-agents systems to create a collaborative environment that can be able to provide an autonomous, efficient and independent management of resources available in a Grid This model has been implemented using web services and some experimental results carried out over and real and heterogeneous grid are presented with the end of emphasizing the performance speedup of the system using the AMBLE model.