Deployment of replicated multi-tier services in cloud data centres created by Anders N. Gullhav and Bjorn Nygreen

By:

Gullhav, Anders N [author]

Contributor(s):

Nygreen, Bjorn [co-author]

Material type: Text

TextSeries: International journal of cloud computing ; Volume 4, number 2 ,United Kingdom: Inderscience, 2015Content type:

text

Media type:

unmediated

Carrier type:

volume

ISSN:

2043-9989

Subject(s):

Cloud computing -- Private cloud -- Hybrid cloud

LOC classification:

QA76.S85 INT

Online resources:

Click here to access online

Abstract: A provider of cloud software services is faced with different decisions related to the operation of his services. Firstly, he needs to configure the services such that the quality of service is in accordance with the specified requirements, and secondly, the services need to be deployed in the provider's private cloud in a cost and energy-efficient manner. We argue that these two sets of decisions need to be taken simultaneously in order to make an optimal decision, and we present mixed integer linear programming models optimising these decisions. One of our models also allows the provider to deploy services in a public cloud. We are testing a direct formulation against a reformulation utilising pre-generated node patterns, and observe that the reformulation produces solutions of better quality within a fixed runtime. Furthermore, the effects of bursting services into a public cloud are investigated.

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Holdings
Item type	Current library	Call number	Vol info	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	QA76.S85 INT (Browse shelf(Opens below))	Vol. 14, no.2 (pages 130-149)	Not for loan	For in house use only

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A provider of cloud software services is faced with different decisions related to the operation of his services. Firstly, he needs to configure the services such that the quality of service is in accordance with the specified requirements, and secondly, the services need to be deployed in the provider's private cloud in a cost and energy-efficient manner. We argue that these two sets of decisions need to be taken simultaneously in order to make an optimal decision, and we present mixed integer linear programming models optimising these decisions. One of our models also allows the provider to deploy services in a public cloud. We are testing a direct formulation against a reformulation utilising pre-generated node patterns, and observe that the reformulation produces solutions of better quality within a fixed runtime. Furthermore, the effects of bursting services into a public cloud are investigated.

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