NDLI: Selective commitment and selective margin: Techniques to minimize cost in an IaaS cloud

Content Provider	IEEE Xplore Digital Library
Author	Yu-Ju Hong Jiachen Xue Thottethodi, M.
Copyright Year	2012
Description	Author affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA (Yu-Ju Hong; Jiachen Xue; Thottethodi, M.)
Abstract	Cloud computing holds the exciting potential of elastically scaling computation to match time-varying demand, thus eliminating the need to provision for peak demand. However, the uncertainty of variable loads necessitate the use of margins - servers that must be held active to absorb unpredictable potential load bursts - which can be a significant fraction of overall cost. Further, naively switching to an on-demand cloud model can actually degrade true costs (server costs that would be incurred even if margin costs disappeared) because of the fundamental economic rule wherein on-demand services/goods cost more compared to reserved services/goods where the user bears some commitment. On-demand customers pay a premium in exchange for not undertaking the fixed-cost risk that committed customers undertake. This paper addresses the twin challenges of minimizing margin costs and true costs in an Infrastructure-as-a-Service (IaaS) cloud. Our paper makes the following two contributions. First, rather than use a fixed margin, we observe that the margin may be selectively used depending on load levels. Based on the above observation, we develop ShrinkWrap-opt which is a dynamic programming algorithm that achieves optimal margin cost while satisfying the desired (statistical) response time guarantees. Second, we propose commitment straddling - the selective use of some reserved machines in conjunction with on-demand machines - to achieve optimal true-cost. Simulations with real Web server load traces using the Amazon EC2 cost model reveal that our techniques save between 13% and 29% (21% on average) in cost while satisfying response-time targets.
Starting Page	99
Ending Page	109
File Size	422804
Page Count	11
File Format	PDF
ISBN	9781467311434
e-ISBN	9781467311465
e-ISBN	9781467311458
DOI	10.1109/ISPASS.2012.6189210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Nickel Load modeling Time factors Dynamic programming Vectors Equations
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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