Probabilistic admission control for elastic cloud computing

Konstanteli, K; Varvarigou, T; Cucinotta, T

dc.contributor.author	Konstanteli, K	en
dc.contributor.author	Varvarigou, T	en
dc.contributor.author	Cucinotta, T	en
dc.date.accessioned	2014-03-01T02:53:26Z
dc.date.available	2014-03-01T02:53:26Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36315
dc.subject	admission control	en
dc.subject	cloud computing	en
dc.subject	elasticity	en
dc.subject	optimum allocation	en
dc.subject.other	Algebraic modeling	en
dc.subject.other	Computational resources	en
dc.subject.other	Computing capacity	en
dc.subject.other	Elastic services	en
dc.subject.other	Optimum allocation	en
dc.subject.other	Physical resources	en
dc.subject.other	Probabilistic approaches	en
dc.subject.other	Probabilistic optimization	en
dc.subject.other	Service components	en
dc.subject.other	Access control	en
dc.subject.other	Algebra	en
dc.subject.other	Elasticity	en
dc.subject.other	Cloud computing	en
dc.title	Probabilistic admission control for elastic cloud computing	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SOCA.2011.6166251	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SOCA.2011.6166251	en
heal.identifier.secondary	6166251	en
heal.publicationDate	2011	en
heal.abstract	This paper tackles the problem of optimum allocation of elastic services on virtualized physical resources by incorporating a probabilistic approach in terms of availability guarantees, which allows for reducing the physical computational resources that are required for elasticity reasons. The resulting probabilistic optimization problem also allows for proper trade-offs among business level objectives. Its output is the set of the accepted services, as well as the allocated computing capacity for each service component that comprise the services on the selected physical hosts. The problem was modeled on the General Algebraic Modeling System (GAMS) and solved under realistic provider's settings that demonstrate the efficiency of the proposed method. © 2011 IEEE.	en
heal.journalName	Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011	en
dc.identifier.doi	10.1109/SOCA.2011.6166251	en