Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Analysis of first-come-first-serve parallel job scheduling
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Matchmaking frameworks for distributed resource management
Matchmaking frameworks for distributed resource management
Multicriteria aspects of Grid resource management
Grid resource management
Applying economic scheduling methods to Grid environments
Grid resource management
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Computational-Mechanism Design: A Call to Arms
IEEE Intelligent Systems
GRUBER: a grid resource usage SLA broker
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Towards a general model of the multi-criteria workflow scheduling on the grid
Future Generation Computer Systems
Negotiation Model Supporting Co-Allocation for Grid Scheduling
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Using software agent negotiation for service selection
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Negotiation strategies considering opportunity functions for grid scheduling
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
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Grid computing is considered the next step of distributed computing architectures. For such Service Oriented Architectures (SOAs) resource management is an important component that has to cope with the challenges of heterogeneous, decentralized and autonomous resources. The use of agreements is expected to become a key technology for the reliable interaction between resource providers and consumers. Negotiation is the process of creating agreements in which the different and typically conflicting objectives of the negotiation parties are taken into account. For the broad proliferation of Grids and the efficient use of Grids, this negotiation process must be automated and should only require minimal interaction from the actual providers and users. To this end, strategic negotiation models are required that can be used to perform this task. In this paper, a strategic negotiation model is proposed for Grid computing. Discrete event based simulation is used to evaluate this model. The simulation results demonstrate that it is suitable and effective for Grid environments.