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Output details

11 - Computer Science and Informatics

University of St Andrews

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Output 21 of 83 in the submission
Article title

Decentralized and optimal control of shared resource pools

Type
D - Journal article
Title of journal
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS
Article number
14
Volume number
7
Issue number
1
First page of article
-
ISSN of journal
1556-4665
Year of publication
2012
URL
-
Number of additional authors
2
Additional information

<02>The capstone journal paper of a series addressing a crucial question in cloud computing: how to allocate shared resources optimally under variable workloads? It presents a ground-breaking fully-decentralised solution to this problem, suitable for application at data-centre scales. A proven-converging mathematical optimisation model is implemented as a multi-agent system, using efficient epidemic spreading to underpin efficient distributed calculations. The system is evaluated against synthetic data centre workloads and is shown to converge to globally optimal resource allocation even in the presence of failing nodes, and with best-effort service of each individual processes' resource requirements.

Interdisciplinary
-
Cross-referral requested
-
Research group
A - Computer systems
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-