Mason Archival Repository Service

Autonomic, Optimal, and Near-optimal Resource Allocation in Cloud Computing

Show simple item record

dc.contributor.advisor Menasce, Daniel A.
dc.contributor.author Aldhalaan, Arwa Sulaiman
dc.creator Aldhalaan, Arwa Sulaiman
dc.date.accessioned 2015-07-29T18:42:48Z
dc.date.available 2015-07-29T18:42:48Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/9693
dc.description.abstract Cloud computing has changed the IT industry by providing robust technology solutions at a variety of prices. The technology used to implement a cloud computing infrastructure is based on largely distributed virtual environments that provide services to consumers allowing them to lease computing resources that scale to their needs, and gives consumers the ability to run a wide range of applications dynamically and on an on-demand basis.
dc.format.extent 184 pages
dc.language.iso en
dc.rights Copyright 2015 Arwa Sulaiman Aldhalaan
dc.subject Computer science en_US
dc.subject Information technology en_US
dc.subject Autonomic Computing en_US
dc.subject Cloud Computing en_US
dc.subject Optimization en_US
dc.subject Self-optimization en_US
dc.subject Virtualization en_US
dc.subject Virtual Machine en_US
dc.title Autonomic, Optimal, and Near-optimal Resource Allocation in Cloud Computing
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics