Cloud Federation Formation in Oligopolistic Markets

Khandelwal, Yash; Ganti, Karthik; Purini, Suresh; Reddy, Puduru Viswanadha

doi:10.1007/978-3-319-96983-1_28

Euro-Par 2018: Parallel Processing

2018

DOI: 10.1007/978-3-319-96983-1_28

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Cloud Federation Formation in Oligopolistic Markets

Yash Khandelwal

Karthik Ganti

Suresh Purini

et al.

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“…This paper is an extension of our previous Euro-Par'18 work[4] in which problems mentioned in Peer-to-peer inter-clouds and linear production games and Intervention of an oligopolist sections are addressed. The current journal version addresses the problem of oligopolist price determination formulated in Oligopolist price determination section.…”

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Pricing strategies of an oligopolist in federated cloud markets

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In this paper, we study how an oligopolist influences the coalition structure in federated cloud markets. Specifically, we use cooperative game theory to model the circumstances under which a cloud provider prefers to join a cloud federation vis-a-vis consider taking a price offer made by an oligopolist. We consider two price offering strategies for an oligopolist: non-adaptive and adaptive. In non-adaptive strategy, an oligopolist makes a price offer to all the cloud providers simultaneously. It can be noted that the oligopolist can buy-out all the cloud providers by making a price offer which is equal to a core allocation and the total price offer made by the oligopolist is equal to the value of the grand coalition. In adaptive strategy, the oligopolist approaches the cloud providers one after another in a sequential manner. We show that by using the adaptive strategy, the oligopolist can buy-out all the cloud providers at a total price offer which is less than that of the non-adaptive strategy.

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Pricing strategies of an oligopolist in federated cloud markets

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Queuing-Based Federation and Optimization for Cloud Resource Sharing

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et al. 2022

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Resource sharing can gain economies of scale and increase utilization of cloud infrastructure, a critical challenge of which is how to design efficient resource sharing solutions among self-interested cloud providers. Cloud federation can realize resource sharing, but the existing methods of forming federation need complex computation to guarantee the stability of federation. To address this shortcoming, after analyzing an optimal allocation approach of service requests among clouds, we propose a pareto optimal resource sharing solution named Cloud Light-Federation Sharing (CLFS), in which each cloud can choose its own optimal strategies individually and federation can be formed without complex computation for allocation of service requests and profits. In addition, an optimal resource sharing solution named Cloud Cooperative-Federation Sharing (CCFS) was also designed, in which cloud providers are fully cooperative and have fair profit allocation. The experimental results show that the two federation methods can significantly improve the total utility and decrease the number of dropped jobs. Although the federation rules of Cloud Light-Federation Sharing are simple, its performance is still very close to that of Cloud Cooperative-Federation Sharing.

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Cloud Federation Formation in Oligopolistic Markets

Cited by 2 publications

References 17 publications

Pricing strategies of an oligopolist in federated cloud markets

Pricing strategies of an oligopolist in federated cloud markets

Queuing-Based Federation and Optimization for Cloud Resource Sharing

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