Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
vGrid: A Framework For Building Autonomic Applications
CLADE '03 Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments
Architecture Requirements for Commercializing Grid Resources
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A System for Monitoring and Management of Computational Grids
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Adaptive Resource Management for Multimedia Applications in Wireless Networks
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
An Autonomic Service Architecture for Self-Managing Grid Applications
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Programming amazon web services
Programming amazon web services
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Varying service demands on next generation networks requires autonomic resource management capabilities to ensure service delivery to customers, motivating the need to develop self-managing algorithms for this purpose. In this paper, we use algorithms from the Operations Research community for this purpose. First, we adapt the Transportation Model to manage distributed resources in the next generation network infrastructure. Coupled with monitoring capabilities, the proposed scheme can automatically adjust the virtual resource allocation to optimize the costs incurred by service providers in offering services to customers. Second, we propose the use of Inventory Control to predict needs for virtual resources and to pre-order required virtual resource amounts. We compare two possible Inventory Control models to manage the virtual resources involved in service delivery. We perform extensive simulations to show the performance improvements made possible by the use of the Transportation Model and Inventory Control for autonomic resource management in next generation networks.