CuteCloud - Putting "Credit union" cloud computing into practice

Dunren Che, Michelle Zhu, Jason Fairfield, Mustafa Khaleel

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2 Citations (Scopus)

Abstract

While cloud computing claims many advantages over prior computing paradigms such as high performance computing and grid computing, the Credit Union (CU) Cloud Computing Model [3] furthers many of the claimed advantages and tries to circumvent the inherent concern of human consumers for security and privacy with today's clouds due to lack of direct control. The key point of the CU Model lies in its fundamental principle - utilizing the vast, under-utilized computing resources (CPU cycles, memory, disc space, etc.) in labs, offices and homes, and transforming them into selfprovisioned community/organization-owned clouds mimicking the business model of Credit Unions in the financial industry. Such built clouds, called Credit Union clouds or CU clouds for short, bear greater advantages, e.g., vendor independence, improved availability (due to reduced Internetdependence), and increased resource utilization. This paper reports an on-going project, named CuteCloud, that aims at putting the CU Model into practice, delivering a framework accompanied with a suite of tools in order to be used by any community/organization to quickly setup its selfprovisioned, secure, and community/organization-owned (and typically on-premise) clouds.

Original languageEnglish
Title of host publicationProceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012
Pages80-85
Number of pages6
DOIs
StatePublished - 1 Dec 2012
Event2012 ACM Research in Applied Computation Symposium, RACS 2012 - San Antonio, TX, United States
Duration: 23 Oct 201226 Oct 2012

Publication series

NameProceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012

Other

Other2012 ACM Research in Applied Computation Symposium, RACS 2012
CountryUnited States
CitySan Antonio, TX
Period23/10/1226/10/12

Fingerprint

Cloud computing
Grid computing
Program processors
Industry
Availability
Data storage equipment

Keywords

  • Cloud computing
  • Cloud provisioning
  • Community cloud
  • Credit union model
  • On-premise cloud
  • Self-provisioned cloud

Cite this

Che, D., Zhu, M., Fairfield, J., & Khaleel, M. (2012). CuteCloud - Putting "Credit union" cloud computing into practice. In Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012 (pp. 80-85). (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012). https://doi.org/10.1145/2401603.2401623
Che, Dunren ; Zhu, Michelle ; Fairfield, Jason ; Khaleel, Mustafa. / CuteCloud - Putting "Credit union" cloud computing into practice. Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012. 2012. pp. 80-85 (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012).
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Che, D, Zhu, M, Fairfield, J & Khaleel, M 2012, CuteCloud - Putting "Credit union" cloud computing into practice. in Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012. Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012, pp. 80-85, 2012 ACM Research in Applied Computation Symposium, RACS 2012, San Antonio, TX, United States, 23/10/12. https://doi.org/10.1145/2401603.2401623

CuteCloud - Putting "Credit union" cloud computing into practice. / Che, Dunren; Zhu, Michelle; Fairfield, Jason; Khaleel, Mustafa.

Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012. 2012. p. 80-85 (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Che D, Zhu M, Fairfield J, Khaleel M. CuteCloud - Putting "Credit union" cloud computing into practice. In Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012. 2012. p. 80-85. (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012). https://doi.org/10.1145/2401603.2401623