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Cost-aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Xu, Jinlai and Palanisamy, Balaji (2017) Cost-aware Resource Management for Federated Clouds Using Resource Sharing Contracts. In: 2017 IEEE 10th International Conference on Cloud Computing (CLOUD).

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Cloud computing and its pay-as-you-go model continue to provide significant cost benefits and a seamless service delivery model for cloud consumers. The evolution of small-scale and large-scale geo-distributed datacenters operated and managed by individual cloud service providers raises new challenges in terms of effective global resource sharing and management of autonomously-controlled individual datacenter resources. Earlier solutions for geo-distributed clouds have focused primarily on achieving global efficiency in resource sharing that results in significant inefficiencies in local resource allocation for individual datacenters leading to unfairness in revenue and profit earned. In this paper, we propose a new contracts-based resource sharing model for federated geo-distributed clouds that allows cloud service providers to establish resource sharing contracts with individual datacenters apriori for defined time intervals during a 24 hour time period. Based on the established contracts, individual cloud service providers employ a cost-aware job scheduling and provisioning algorithm that enables tasks to complete and meet their response time requirements. The proposed techniques are evaluated through extensive experiments using realistic workloads and the results demonstrate the effectiveness, scalability and resource sharing efficiency of the proposed model.


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Item Type: Conference or Workshop Item (Paper)
Status: Published
CreatorsEmailPitt UsernameORCID
Xu, Jinlaijix67@pitt.edujix67
Palanisamy, Balajibpalan@pitt.eduBPALAN
Date: 2017
Date Type: Publication
Page Range: pp. 238-245
Event Title: 2017 IEEE 10th International Conference on Cloud Computing (CLOUD)
Event Type: Conference
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
Date Deposited: 05 Jul 2018 19:27
Last Modified: 05 Jul 2018 19:27


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