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Building an on-demand virtual computing market in non-commercial communities

Published: 18 March 2013 Publication History

Abstract

This work describes a system that enables non-commercial communities, e.g. students and researchers, to deploy pre-configured clusters of virtual machines on arbritary cloud computing stacks implementing the Open Cloud Computing Interface (OCCI). As a key enabling technology, the virtualization and provisioning available in such infrastructure as a service clouds is leveraged in order to instantiate and setup clusters on a user's demand. A simple, web-based market system is provided as the user interface. It allows the browsing, configuring and launching of different clusters of appliances. Running virtual machines are accessible directly from the market via integrated remote desktop software.

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Hadoop on Demand. http://hadoop.apache.org/common/docs/r0.17.0/hod.html.
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Storm: Distributed and fault-tolerant realtime computation. http://storm-project.net.
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Cited By

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  • (2014)Towards Cloud-Based Distributed Scaleable Processing over Large-Scale Temporal GraphsProceedings of the 2014 IEEE 23rd International WETICE Conference10.1109/WETICE.2014.99(143-148)Online publication date: 23-Jun-2014

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cover image ACM Conferences
SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied Computing
March 2013
2124 pages
ISBN:9781450316569
DOI:10.1145/2480362
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 18 March 2013

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Author Tags

  1. cloud computing
  2. cluster
  3. hadoop
  4. market
  5. provisioning
  6. storm

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  • Research-article

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SAC '13
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SAC '13: SAC '13
March 18 - 22, 2013
Coimbra, Portugal

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SAC '13 Paper Acceptance Rate 255 of 1,063 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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  • (2014)Towards Cloud-Based Distributed Scaleable Processing over Large-Scale Temporal GraphsProceedings of the 2014 IEEE 23rd International WETICE Conference10.1109/WETICE.2014.99(143-148)Online publication date: 23-Jun-2014

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