Name
Abstract | ||
|---|---|---|
ACCORD addresses the need for robust, rapidly adaptive resource allocation mechanisms in cloud computing. It employs a distributed, game-theoretic approach to apportion computational loads in an efficient, prioritized, Pareto-optimal fashion among geographically dispersed cloud computing infrastructure. This paper describes ACCORD algorithms, software implementation, and initial experimental results. Our results illustrate how a distributed, ACCORD-enabled cloud architecture autonomously adapts to the loss of computing resources (e.g., due to failures, poor network connectivity, or cyber attack) while ensuring that users receive maximal, prioritized utility from available cloud resources. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SASOW.2012.16 | Self-Adaptive and Self-Organizing Systems Workshops |
Keywords | Field | DocType |
computational load,available cloud resource,collaborative control,prioritized utility,cloud computing infrastructure,resilient cyber defense,cloud computing,cyber attack,adaptive resource allocation mechanism,pareto-optimal fashion,accord algorithm,accord-enabled cloud architecture autonomously,game theory,nash bargaining,resource allocation | Network connectivity,Cyber-attack,Computer science,Utility computing,Resource allocation,Cyber defense,Game theory,Bargaining problem,Cloud computing,Distributed computing | Conference |
ISSN | ISBN | Citations |
1949-3673 | 978-1-4673-5153-9 | 11 |
PageRank | References | Authors |
0.72 | 7 | 13 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stuart Wagner | 1 | 12 | 1.10 |
| Eric van den Berg | 2 | 229 | 16.98 |
| Jim Giacopelli | 3 | 12 | 1.10 |
| Andrei Ghetie | 4 | 45 | 3.81 |
| Jim Burns | 5 | 22 | 2.46 |
| Miriam Tauil | 6 | 122 | 9.19 |
| Soumya Sen | 7 | 590 | 49.01 |
| Michael Wang | 8 | 130 | 7.38 |
| Mung Chiang | 9 | 7303 | 486.32 |
| Tian Lan | 10 | 359 | 18.82 |
| Robert Laddaga | 11 | 11 | 0.72 |
| Paul Robertson | 12 | 312 | 39.80 |
| Prakash Manghwani | 13 | 38 | 3.50 |