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QoS-aware deployment of network of virtual appliances across multiple clouds

Citation

Dastjerdi, AV and Garg, SK and Buyya, R, QoS-aware deployment of network of virtual appliances across multiple clouds, Proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science, 29 November - 1 December 2011, Athens, Greece, pp. 415-423. ISBN 978-1-4673-0090-2 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 IEEE

DOI: doi:10.1109/CloudCom.2011.62

Abstract

Cloud computing paradigm allows on-demand access to computing and storages services over the Internet. To solve the complexity of application deployment in Cloud infrastructure, virtual appliances, pre-configured, ready-torun applications are emerging as a breakthrough technology. However, an automated approach for deploying network of appliances is required to guarantee minimum deployment cost, low latency, and high reliability. In this paper, we propose and compare two different deployment approaches: Forwardchecking- based backtracking (FCBB) and genetic-based. They take into account Quality of Service (QoS) criteria such as reliability, data communication cost, and latency between multiple Clouds to choose the most appropriate combination of virtual machines and appliances. We evaluate our approach using a real case study and different request types. Experimental results show both algorithms reach near optimal solution. Further, we investigate effects of factors such as latency requirements, and data communication between appliances on the performance of the algorithms and placement of appliances across multiple Clouds.

Item Details

Item Type:Refereed Conference Paper
Keywords:cloud computing, virtual appliance, quality of service, Service-Level Agreements (SLA)
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Time Leasing, Sharing and Renting Services
Author:Garg, SK (Dr Saurabh Garg)
ID Code:93878
Year Published:2011
Deposited By:Computing and Information Systems
Deposited On:2014-08-20
Last Modified:2015-02-13
Downloads:0

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