NDLI: Statistical static capacity management in virtualized data centers supporting fine grained QoS specification

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Statistical static capacity management in virtualized data centers supporting fine grained QoS specification

Content Provider	ACM Digital Library
Author	Schröder, Kiril Nebel, Wolfgang Hoyer, Marko
Abstract	From an ecological but also from an economical and in the meantime a technical view the fast ongoing increase of power consumption in today's data centers is no longer feasible. Methodologies, more efficiently using energy in data centers, must be developed. One step into this direction is to increase the utilization of the hardware in data centers by using virtualization techniques. The efficiency of such techniques strongly depends on provisioning and allocating the resources. Statistical static allocation approaches have been proven to use resources very efficiently by overbooking hardware using the fact that typical applications rarely need their maximum demand and especially seldom all at the same time. In our work we analyze these approaches and point out two major drawbacks. First, we show that guaranteeing QoS (Quality of Service) aspects by two parameters, as it is done in these approaches, is inflexible and often leads to suboptimal solutions. Second, such conventional approaches require statistical independent resource demands of the virtual machines which prevent them from being used in most common data centers. To overcome these drawbacks, we first suggest a more fine grained way of specifying QoS guarantees that saved up to 20% of resources to be reserved for a single virtual machine in our examples. Furthermore, we present a new allocation approach that is able to deal with any kind of correlations in the resource demand. Compared to a pessimistic approach, that reserves the maximum required resources for each virtual machines all over the time, our approach can save 27% of required hardware resources in a typical data center scenario.
Starting Page	51
Ending Page	60
Page Count	10
File Format	PDF
ISBN	9781450300421
DOI	10.1145/1791314.1791322
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-04-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data centers Quality of service Resource allocation Power-performance trade-off Energy efficiency Correlated workload Virtualization
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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