NDLI: Network aware virtual machine and image placement in a cloud

Content Provider	IEEE Xplore Digital Library
Author	Breitgand, D. Epstein, A. Glikson, A. Israel, A. Raz, D.
Copyright Year	2013
Description	Author affiliation: Virtualization Technol., Syst. Technol. &Services, IBM Res. - Haifa, Haifa, Israel (Breitgand, D.; Epstein, A.; Glikson, A.) \|\| Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel (Israel, A.; Raz, D.)
Abstract	Optimal resource allocation is a key ingredient in the ability of cloud providers to offer agile data centers and cloud computing services at a competitive cost. In this paper we study the problem of placing images and virtual machine instances on physical containers in a way that maximizes the affinity between the images and virtual machine instances created from them. This reduces communication overhead and latency imposed by the on-going communication between the virtual machine instances and their respective images. We model this problem as a novel placement problem that extends the class constrained multiple knapsack problem (CCMK) previously studied in the literature, and present a polynomial time local search algorithm for the case where all the relevant images have the same size. We prove that this algorithm has an approximation ratio of (3 + ∈) and then evaluate its performance in a general setting where images and virtual machine instances are of arbitrary sizes, using production data from a private cloud. The results indicate that our algorithm can obtain significant improvements (up to 20%) compared to the greedy approach, in cases where local image storage or main memory resources are scarce.
Starting Page	9
Ending Page	17
File Size	832037
Page Count	9
File Format	PDF
ISBN	9783901882531
DOI	10.1109/CNSM.2013.6727804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-14
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Cloud computing Bandwidth Containers Approximation algorithms Virtual machining Silicon
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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