DocumentCode :
179627
Title :
A Queuing Model for Business Processes Elasticity Evaluation
Author :
Yataghene, Lydia ; Amziani, Mourad ; Ioualalen, Malika ; Tata, Samir
Author_Institution :
MOVEP Lab., USTHB Univ., Algiers, Algeria
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
22
Lastpage :
28
Abstract :
Cloud Computing is a recent trend in information technology, it refers to a model for enabling ubiquitous, convenient, on demand network access to a shared pool of computing resources that can be rapidly provisioned and released with minimal effort. One of the characteristics of the Cloud is elasticity. Elasticity is the ability of Cloud service to rapidly change the amount of its allocated resources in order to meet the demands variation while ensuring a given QoS. Cloud environments are being increasingly used for deploying and executing business processes and particularly Service-based Business Processes (SBPs). Provisioning of elastic infrastruc-tures and platforms is not sufficient to provide elasticity of SBPs. Therefore, SBPs must be provided with elasticity so that they will be able to be adapted to the variations of workload, while ensuring their functional and non-functional properties. In this paper, we are interested in evaluating SBP selasticity. To do that, we propose to model SBPs elasticity using queuing model system with variable number of services copies to represent SBPs adaptation to demands variation. Afterwards, we propose to use this queuing model to evaluate SBPs elasticity.
Keywords :
business data processing; cloud computing; queueing theory; SBP adaptation; business processes elasticity evaluation; cloud computing; queuing model system; service-based business process; Adaptation models; Elasticity; Load modeling; Mathematical model; Quality of service; Queueing analysis; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Systems for Enterprises (IWAISE), 2014 International Workshop on
Conference_Location :
Tunis
Print_ISBN :
978-1-4799-4300-5
Type :
conf
DOI :
10.1109/IWAISE.2014.12
Filename :
6978142
Link To Document :
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