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Cloud Resource Combinatorial Double Auction Algorithm Based on Genetic Algorithm and Simulated Annealing
- Source :
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319607160, QSHINE
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- In this paper, on the basis of the analysis of common market model and some economic theories in the cloud computing resource management process, we propose a cloud resource management model based on combinatorial double auction. In order to solve the winner determination problem (WDP) in the combinatorial double auction, a cloud resource combinatorial double auction algorithm based on genetic algorithm and simulated annealing algorithm is proposed. Simulation results reveal that the algorithm combines genetic algorithm with simulated annealing algorithm (SAGA) outperforms genetic algorithm on fitness value and stability, and as the number of bidders increase, the solution have higher fitness value can be obtained.
- Subjects :
- Computer Science::Computer Science and Game Theory
Mathematical optimization
021103 operations research
business.industry
Computer science
0211 other engineering and technologies
Stability (learning theory)
Cloud computing
02 engineering and technology
Auction algorithm
Adaptive simulated annealing
Resource (project management)
020204 information systems
Genetic algorithm
Simulated annealing
0202 electrical engineering, electronic engineering, information engineering
Double auction
business
Algorithm
Subjects
Details
- ISBN :
- 978-3-319-60716-0
- ISBNs :
- 9783319607160
- Database :
- OpenAIRE
- Journal :
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319607160, QSHINE
- Accession number :
- edsair.doi...........3658e6e2d38d748317b2107b375e1736