Performance Prediction Technology for Agent-Based Resource Management in Grid Environments
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Use of Agent-Based Service Discovery for Resource Management in Metacomputing Environment
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Integrate software agents and CORBA in computational grid
Computer Standards & Interfaces - CORBA: protocols, applications, process models and standards
Apply agent to build grid service management
Journal of Network and Computer Applications
The use of economic agents under price driven mechanism in grid resource management
Journal of Systems Architecture: the EUROMICRO Journal
Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
QoS multi-agent applied for Grid Service management
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
Grid load balancing using intelligent agents
Future Generation Computer Systems
From market-driven agents to market-oriented grids (position paper)
ACM SIGecom Exchanges
A survey of bargaining models for grid resource allocation
ACM SIGecom Exchanges
Advanced Grid Management Software for Seamless Services
Multiagent and Grid Systems - Smart Grid Technologies & Market Models
ARMS: An agent-based resource management system for grid computing
Scientific Programming
Towards an agent-based grid platform 1st episode: the meta-grid
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
A resource-oriented grid meta-scheduler based on agents
PDCN'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: parallel and distributed computing and networks
Capacity planning and scheduling in Grid computing environments
Future Generation Computer Systems
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Confidence-based grid service discovery
International Journal of Web and Grid Services
QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Grid load balancing using intelligent agents
Future Generation Computer Systems
Grid resource negotiation: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fluctuated peer selection policy and its performance in large-scale multi-agent systems
Web Intelligence and Agent Systems
Performance-Aware load balancing for multiclusters
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
A preference method with fuzzy logic in service scheduling of grid computing
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Grid resource management based on mobile agent
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Agent framework to support the computational grid
Journal of Systems and Software
An efficient method of sharing device resource status in wireless grids
Multiagent and Grid Systems
| Hi-index | 0.03 |
Resource management is an important infrastructure in the grid computing environment. Scalability and adaptability are two key challenges in the implementation of such complex software systems. In this work we introduce a new model for resource management in a metacomputing environment using a hierarchy of homogeneous agents that has the capability of service discovery. The performance of the agent system can be improved using different combinations of optimisation strategies. A modelling and simulation environment has been developed in this work that enables the performance of the system to be investigated. A simplified model of the resource management infrastructure is given as a case study and simulation results are included that show the impact of the choice of performance optimisation strategies on the overall system performance.