Paper Info
Title
Business Adaptation For Bpaas Using Fuzzy Logic Systems
Abstract
A cloud service is usually classified as Infrastructure as a Service, Platform as a Service or Software as a Service. This classification is not sufficient, when Business Processes are considered. Therefore, the next level of abstraction above SaaS is Business Process as a Service (BPaaS) [1]. BPaaS runs in a dynamic and volatile environment such as cloud computing and has hence very changing QoS (Quality of Service) parameters. Therefore, the BPaaS monitoring and adaptation are of a great importance to guarantee the QoS parameters defined in the Service Level Agreement (SLA). To address these issues, in this paper we proposed two Fuzzy systems for self-adaptive BPaaS that aim to prevent the SLA violations. The proposed approach objective is to satisfy two important issues: (i) the selection of service adaptation strategies and (ii) the cost as well as the impact of changes. We also presented the results of the experiments achieved to evaluate the proposed approach. These experimental results prove the effectiveness of the fuzzy systems.
Year
DOI
Venue
2017
10.1109/AICCSA.2017.148
2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA)
Keywords
Field
DocType
Cloud, BPaaS <-> Adaptation <-> Fuzzy system
Abstraction,Business process,Computer science,Fuzzy logic,Service-level agreement,Quality of service,Computer network,Software as a service,Fuzzy control system,Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2161-5322
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Rima Grati192.92
Khouloud Boukadi214527.98
Hanêne Ben-Abdallah339871.57