NDLI: Towards Energy Efficient Allocation for Applications in Volunteer Cloud

Content Provider	IEEE Xplore Digital Library
Author	Congfeng Jiang Jian Wan Cerin, C. Gianessi, P. Ngoko, Y.
Copyright Year	2014
Description	Author affiliation: LIPN, Univ. de Paris 13, Villetaneuse, France (Cerin, C.; Gianessi, P.; Ngoko, Y.) \|\| Hangzhou Dianzi Univ., Hangzhou, China (Congfeng Jiang; Jian Wan)
Abstract	We can view the topology of classical clouds infrastructures as data centers to which are connected user machines. In these architectures the computations are centered on a subset of machines (the data centers) among the possible ones. In our study, we propose to consider an alternative view of clouds where both users machines and data centers are used for servicing requests. We refer to these clouds as volunteer clouds. Volunteer clouds offer potential advantages in elasticity and energy savings, but we have also to manage the unavailability of volunteer nodes. In this paper, we are interested in optimizing the energy consumed by the provisioning of applications in volunteer clouds. Given a set of applications requested by cloud's clients for a window of time, the objective is to find the deployment plan that is less energy consuming. In comparison with many works in resource allocation, our specificity is in the management of the unavailability of volunteer nodes. We show that our core challenge can be formalized as an NP-hard and inapproximable problem. We then propose an ILP (Integer Linear Programming) model and various greedy heuristics for its resolution. Finally, we provide an experimental analysis of our proposal in using realistic data and modeling for energy consumption. This work is a work on modeling with simulation results but not a work with emulation and experiments on real systems. However, the parameters and assumptions made for our simulations fit well with the knowledge generally accepted by people working on energy modeling and volunteer computing. Consequently our work should be analyzed as a solid building block towards the implementation of allocation mechanisms in volunteer clouds.
Starting Page	1516
Ending Page	1525
File Size	311930
Page Count	10
File Format	PDF
e-ISBN	9781479941162
DOI	10.1109/IPDPSW.2014.169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Energy consumption Cloud computing Power optimization Computational modeling Energy resolution Elasticity Integer linear programming Desktop grid computing Integer linear programming and optimization problems Resource management Energy management
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
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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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