NDLI: Dynamic Power- and Failure-Aware Cloud Resources Allocation for Sets of Independent Tasks

Content Provider	IEEE Xplore Digital Library
Author	Sampaio, A.M. Barbosa, J.G.
Copyright Year	2013
Description	Author affiliation: Dept. de Eng. Inf., Univ. do Porto, Porto, Portugal (Barbosa, J.G.) \|\| CIICESI, Inst. Politec. do Porto, Felgueiras, Portugal (Sampaio, A.M.)
Abstract	Cloud computing is increasingly being adopted in different scenarios, like social networking, business applications, scientific experiments, etc. Relying in virtualization technology, the construction of these computing environments targets improvements in the infrastructure, such as power-efficiency and fulfillment of users' SLA specifications. The methodology usually applied is packing all the virtual machines on the proper physical servers. However, failure occurrences in these networked computing systems can induce substantial negative impact on system performance, deviating the system from ours initial objectives. In this work, we propose adapted algorithms to dynamically map virtual machines to physical hosts, in order to improve cloud infrastructure power-efficiency, with low impact on users' required performance. Our decision making algorithms leverage proactive fault-tolerance techniques to deal with systems failures, allied with virtual machine technology to share nodes resources in an accurately and controlled manner. The results indicate that our algorithms perform better targeting power-efficiency and SLA fulfillment, in face of cloud infrastructure failures.
Starting Page	1
Ending Page	10
File Size	430999
Page Count	10
File Format	PDF
ISBN	9781467364737
e-ISBN	9780769549453
DOI	10.1109/IC2E.2013.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing SLA specification Power demand Heuristic algorithms Dynamic scheduling Virtual machining Fault-tolerance Virtualization Power-efficiency Optimization
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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