Abstract
Shared resource pools are facilities featuring a certain amount of resources which can be used by different applications. For managing resources in such pools, the demand of each application can be used. Such a demand, however, is driven by the workload, which varies over time. For that reason, adaptive approaches have been proposed for the management of shared resources pools. Whereas a number of solutions exist in this context, they are either not truly decentralized or do not apply to the problem we are dealing with. In this paper, we then present Darma, an approach for managing shared resource pools in a truly decentralized, adaptive, and optimal way.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Editors | Julien Bourgeois Marco Danelutto |
| Publisher | IEEE Computer Society |
| Pages | 51-58 |
| Number of pages | 8 |
| ISBN (Print) | 978-0-7695-3939-3 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing - Pisa, Italy Duration: 1 Jan 2010 → … |
Conference
| Conference | Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing |
|---|---|
| Period | 1/01/10 → … |
Keywords
- n/a
Cite this
Loureiro, E., Nixon, P., & Dobson, S. (2010). Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics. In J. B. Marco Danelutto (Ed.), Unknown Host Publication (pp. 51-58). IEEE Computer Society. https://doi.org/10.1109/PDP.2010.17