A game theory based resource sharing scheme in cloud computing environment

Lu, Zhenping; Wen, Xiangming; Sun, Yong

doi:10.1109/wict.2012.6409239

Cited by 24 publications

(8 citation statements)

References 7 publications

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“…Lu et al . proposed a game theoretic policy that helps cloud providers in decision‐making process to form coalition to increase resource utilization and profit. They considered resource management between data centers.…”

Section: Related Workmentioning

confidence: 99%

A self‐organized load balancing mechanism for cloud computing

Khani

Yazdani

Mohammadi

2016

Concurrency and Computation

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Summary The growth in computer and networking technologies over the past decades established cloud computing as a new paradigm in information technology. The cloud computing promises to deliver cost‐effective services by running workloads in a large scale data center consisting of thousands of virtualized servers. The main challenge with a cloud platform is its unpredictable performance. A possible solution to this challenge could be load balancing mechanism that aims to distribute the workload across the servers of the data center effectively. In this paper, we present a distributed and scalable load balancing mechanism for cloud computing using game theory. The mechanism is self‐organized and depends only on the local information for the load balancing. We proved that our mechanism converges and its inefficiency is bounded. Simulation results show that the generated placement of workload on servers provides an efficient, scalable, and reliable load balancing scheme for the cloud data center. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

A self‐organized load balancing mechanism for cloud computing

Khani

Yazdani

Mohammadi

2016

Concurrency and Computation

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“…It is assumed that a SP with high availability will charge high price for its services. Let availability and price of SP be a = {a 1 …”

Section: Cloud Federation Architecturementioning

confidence: 99%

“…Cloud federation is the practice of interconnecting the cloud computing environments of two or more SPs where each SP can share resources with peers to gain economic advantages. In the last few years, many cloud service providers are moving into federation, some relevant research works in this field can be found in [1], [2], [3], [4], [5]. However, none of these works in the literature considered the cloud federation formation based on cloud SP QoS attributes, from the game theoretic perspective.…”

Section: Introductionmentioning

confidence: 99%

Cloud Federation Formation Using Coalitional Game Theory

Ray

Khatua

Roy

2015

Distributed Computing and Internet Technology

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Abstract. Cloud federation has been emerged as a new paradigm in which group of Cloud Service Providers (SP) cooperate to share resources with peers, to gain economic advantage. In this paper, we study the cooperative behavior of a group of cloud SPs. We present broker based cloud federation architecture and model the formation of cloud federation using coalition game theory. The objective is to find most suitable federation for Cloud SPs that maximize the satisfaction level of each individual Cloud SP on the basis of Quality of Service(QoS) attributes like availability and price.

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“…CSPs tends to increase their own profit in such scenario by selling their unused capacity in the spot market. A game theoretical approach is used for resource and revenue sharing in [11]and [12]. A stochastic linear programming game taking into account the demand uncertainty of internal users, is the solution for the cooperation problem.…”

Section: Related Workmentioning

confidence: 99%

Federation and Revenue Sharing in Cloud Computing Environment

Zant

Amigo

Gagnaire

2014

2014 IEEE International Conference on Cloud Engineering

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In Cloud computing, resources such as CPU, RAM, and disk etc. are provided as a service via the Internet. Elasticity is a key feature of Cloud Computing. It aims to enabling a Cloud Service Provider (CSP) to negotiate the possibility to borrow external resources from other CSPs when its own facilities are not able to satisfy a client request. Reciprocally, a CSP may sell some of its unused resources to another CSP in case of under load. Today, Cloud Federation is a key approach considered for Cloud elasticity. In the context of the Easi-Clouds European ITEA 2 research project, we aim to develop Pricing-as-a-Service (PraaS) suited to the Federated Cloud environment. The aim of this paper is twofold. First, we provide a state of the art of the pricing and revenue sharing models in federated environment. We discuss the specifications of Cloud Federation as well as its different drivers and barriers. Three types of pricing strategies (on-demand, spot and reserved) are presented. In the second part, we present the problem of revenue sharing in the federation with some properties we are willing to fulfill. We propose and evaluate our revenue sharing model suited to the Federated environment with numerical analysis via simulation. We compare our approach to the proportional share and the Shapley value method. Finally, we provide and analyze the results of our simulations with our conclusion and perspectives.

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A game theory based resource sharing scheme in cloud computing environment

Cited by 24 publications

References 7 publications

A self‐organized load balancing mechanism for cloud computing

A self‐organized load balancing mechanism for cloud computing

Cloud Federation Formation Using Coalitional Game Theory

Federation and Revenue Sharing in Cloud Computing Environment

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