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A systematic study of double auction mechanisms in cloud computing
- Source :
- Journal of Systems and Software. 125:234-255
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- A detailed study of the double auction mechanisms in cloud is provided.A framework for double auction in cloud is proposed for a future cloud market.A model TMDA is proposed to infer how a truthful double auction can be designed.TMDA is asymptotically efficient, individual rational, truthful and budget-balanced.Various challenges and future scope in double auction in cloud are also presented. The cloud system is designed, implemented and conceptualized as a marketplace where resources are traded. This demands efficient allocation of resources to benefit both the cloud users and the cloud service providers. Accordingly, market based resource allocation models for cloud computing have been proposed. These models apply economy based approaches e.g. auction, negotiation etc. This work makes a detailed study of the double auction mechanisms and their applicability for the cloud markets. A framework for a future cloud market using double auction is also proposed. As most of the existing works in double auction confines only resource allocation, therefore, a Truthful Multi-Unit Double Auction mechanism (TMDA) is proposed that would help researchers to understand how a truthful double auction mechanism can be designed. TMDA is proven to be asymptotically efficient, individual rational, truthful and budget-balanced. TMDA would also encourage researchers to contribute in this emerging area. The performance of TMDA, which addresses the interests of both the cloud user and the provider, has been validated through simulation study. Various challenges in the realization of double auction mechanisms in cloud computing along-with the future possibilities are also presented.
- Subjects :
- Mechanism design
Auction theory
Computer science
business.industry
media_common.quotation_subject
Distributed computing
TheoryofComputation_GENERAL
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Service provider
Combinatorial auction
Negotiation
Hardware and Architecture
0202 electrical engineering, electronic engineering, information engineering
Double auction
Resource allocation
020201 artificial intelligence & image processing
business
Software
Simulation
Information Systems
media_common
Subjects
Details
- ISSN :
- 01641212
- Volume :
- 125
- Database :
- OpenAIRE
- Journal :
- Journal of Systems and Software
- Accession number :
- edsair.doi...........a074b0f8b0fb4f912664dca8b806801a