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Enabling BOINC in infrastructure as a service cloud system
- Source :
- Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela, instname, Geoscientific Model Development, Vol 10, Iss 2, Pp 811-826 (2017)
- Publication Year :
- 2018
-
Abstract
- Volunteer or crowd computing is becoming increasingly popular for solving complex research problems from an increasingly diverse range of areas. The majority of these have been built using the Berkeley Open Infrastructure for Network Computing (BOINC) platform, which provides a range of different services to manage all computation aspects of a project. The BOINC system is ideal in those cases where not only does the research community involved need low-cost access to massive computing resources but also where there is a significant public interest in the research being done.We discuss the way in which cloud services can help BOINC-based projects to deliver results in a fast, on demand manner. This is difficult to achieve using volunteers, and at the same time, using scalable cloud resources for short on demand projects can optimize the use of the available resources. We show how this design can be used as an efficient distributed computing platform within the cloud, and outline new approaches that could open up new possibilities in this field, using Climateprediction.net (http://www.climateprediction.net/) as a case study.
- Subjects :
- 020203 distributed computing
Cloud resources
010504 meteorology & atmospheric sciences
Cloud systems
Computer science
business.industry
lcsh:QE1-996.5
Cloud computing
02 engineering and technology
01 natural sciences
Data science
Field (computer science)
Public interest
lcsh:Geology
On demand
Scalability
0202 electrical engineering, electronic engineering, information engineering
Crowd computing
business
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 19919603
- Database :
- OpenAIRE
- Journal :
- Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela, instname, Geoscientific Model Development, Vol 10, Iss 2, Pp 811-826 (2017)
- Accession number :
- edsair.doi.dedup.....b754d3e25766691439bded72087c0b9f