DocumentCode :
1849646
Title :
On-Demand Optimal Cloud Service Provisioning Composition across Multi-cloud
Author :
Jiacheng Yao
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1566
Lastpage :
1569
Abstract :
The current cloud environment, constituted by many different public cloud providers, is highly independent in terms of pricing models, interfaces and virtualization standard while the ideal cloud environment is homogenous and standardization. In this context, a cloud management system which can provide intermediation and aggregation capabilities to enable users to deploy their service across multiple clouds is necessary. However, most current systems always work in certain clouds and cannot provide advanced service management capabilities to make automatic decisions, such as optimal service component distribution among different cloud. In this paper, we present a modularization service management system (SMS) that can optimally deploy services across multi-cloud automatically in flexible and dynamic infrastructure provisioning environment, in order to achieve a better Quality of Service (QoS) according to service provider´s Service Level Agreements (SLAs). To prove the advantages of the system, we analyze the deployment of a web service in multi-cloud environment using our strategy and compare the result with the traditional works.
Keywords :
Web services; cloud computing; contracts; pricing; quality of service; user interfaces; virtualisation; QoS; SLA; SMS; Web service deployment; aggregation capability; cloud management system; cloud providers; interfaces; intermediation capability; modularization service management system; multicloud environment; on-demand optimal cloud service provisioning composition; optimal service component distribution; pricing models; quality of service; service level agreements; virtualization standard; Cloud computing; Computational modeling; IP networks; Monitoring; Pricing; Quality of service; Virtual machining; Multi-Cloud; On-demand; QoS; Service deployment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.411
Filename :
6643329
Link To Document :
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