Abstract
| Language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Editors | Julien Bourgeois Marco Danelutto |
| Pages | 51-58 |
| Number of pages | 8 |
| 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
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Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics. / Loureiro, E; Nixon, Patrick; Dobson, S.
Unknown Host Publication. ed. / Julien Bourgeois Marco Danelutto. 2010. p. 51-58.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics
AU - Loureiro, E
AU - Nixon, Patrick
AU - Dobson, S
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - n/a
U2 - 10.1109/PDP.2010.17
DO - 10.1109/PDP.2010.17
M3 - Conference contribution
SN - 978-0-7695-3939-3
SP - 51
EP - 58
BT - Unknown Host Publication
A2 - Marco Danelutto, Julien Bourgeois
ER -