Files in this item
An approach to ad hoc cloud computing
Item metadata
dc.contributor.author | Kirby, Graham | |
dc.contributor.author | Dearle, Alan | |
dc.contributor.author | Macdonald, Angus | |
dc.contributor.author | Fernandes, Alvaro | |
dc.date.accessioned | 2011-01-07T11:45:07Z | |
dc.date.available | 2011-01-07T11:45:07Z | |
dc.date.issued | 2010-02-25 | |
dc.identifier.citation | Kirby , G , Dearle , A , Macdonald , A & Fernandes , A 2010 , An approach to ad hoc cloud computing . University of St Andrews . | en |
dc.identifier.other | PURE: 5006714 | |
dc.identifier.other | PURE UUID: bc01057f-519b-4958-bf72-658cd27fe91d | |
dc.identifier.other | ArXiv: http://arxiv.org/abs/1002.4738v1 | |
dc.identifier.other | ORCID: /0000-0002-4422-0190/work/28429098 | |
dc.identifier.uri | https://hdl.handle.net/10023/1666 | |
dc.description.abstract | We consider how underused computing resources within an enterprise may be harnessed to improve utilization and create an elastic computing infrastructure. Most current cloud provision involves a data center model, in which clusters of machines are dedicated to running cloud infrastructure software. We propose an additional model, the ad hoc cloud, in which infrastructure software is distributed over resources harvested from machines already in existence within an enterprise. In contrast to the data center cloud model, resource levels are not established a priori, nor are resources dedicated exclusively to the cloud while in use. A participating machine is not dedicated to the cloud, but has some other primary purpose such as running interactive processes for a particular user. We outline the major implementation challenges and one approach to tackling them. | |
dc.format.extent | 6 | |
dc.language.iso | eng | |
dc.publisher | University of St Andrews | |
dc.subject | cs.DC | en |
dc.subject | Distributed, parallel, and cluster computing | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject.lcc | QA75 | en |
dc.title | An approach to ad hoc cloud computing | en |
dc.type | Report | en |
dc.description.version | Preprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.url | http://arxiv.org/abs/1002.4738 | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.