A Cloud Computing Resource Pricing Strategy Research-Based on Resource Swarm Algorithm

Hao Li, Yu Pu, Joan Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Cloud computing arise as an efficient way to allocate resources for execution of task and services within a set of geographically dispersed providers from different organizations. In cloud computing, an IaaS computing model called Cloud Bank. Cloud Bank model [1] is an IaaS model on the basis of economics principal and cloud computing features. It can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. In Cloud Bank, pricing resources is the key problem. Client applications and services providers meet in Cloud Bank and negotiate for the sales of services by means of the signature of a service level agreement. This paper come up with a resource pricing strategy based on Resource Swarm Optimization to solve the problem of how to price computing resources in Cloud Bank model.

Original languageEnglish
Title of host publicationProceedings - 2012 International Conference on Computer Science and Service System, CSSS 2012
PublisherIEEE
Pages2217-2222
Number of pages6
ISBN (Electronic)9780769547190
ISBN (Print)9781467307215
DOIs
Publication statusPublished - 31 Dec 2012
Event2012 International Conference on Computer Science and Service System - Nanjing, China
Duration: 11 Aug 201213 Aug 2012

Conference

Conference2012 International Conference on Computer Science and Service System
Abbreviated titleCSSS2012
CountryChina
CityNanjing
Period11/08/1213/08/12

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