Technical Note: \cal Q-Learning
Machine Learning
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
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
Distributed Algorithms
Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Policy Driven Heterogeneous Resource Co-Allocation with Gangmatching
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
On Advantages of Grid Computing for Parallel Job Scheduling
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Multicriteria aspects of Grid resource management
Grid resource management
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
Advance Reservation and Co-Allocation Protocol for Grid Computing
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
Learning-Based Negotiation Strategies for Grid Scheduling
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Co-reservation with the concept of virtual resources
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
A heuristic model for concurrent bi-lateral negotiations in incomplete information settings
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Negotiation strategies for grid scheduling
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
Towards a general model of the multi-criteria workflow scheduling on the grid
Future Generation Computer Systems
Fair resource sharing in hierarchical virtual organizations for global grids
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
International Journal of Systems Science
Bandwidth and computing resources provisioning for grid applications and services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Concurrent negotiation and coordination for grid resource coallocation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
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In order to fulfill the complex resource requirements of some users in Grid environments, support for coallocation between different resource providers is needed. Here, it is quite difficult to coordinate these different services from different resource providers, because a Grid scheduler has to cope with different policies and objectives of the different resource providers and of the users. Agreement-based resource management is considered a feasible solution to solve many of these problems as it supports the reliable interaction between different providers and users. However, most current models do not well support co-allocation. Here, negotiation is needed to create such bi-lateral agreements between several Grid parties. Such a negotiation process should be automated with no or minimal human interaction, considering the potential scale of Grid systems and the amount of necessary transactions. Therefore, strategic negotiation models play an important role. In this paper, a negotiation models which supports the co-allocation between different resource providers are proposed and examined. First simulations have been conducted to evaluate the presented system. The results demonstrate that the proposed negotiation model are suitable and effective for Grid environments.