Paper Info
Title
Genetic-Based Configurable Cloud Resource Allocation In Qos-Aware Business Process Development
Abstract
Organizations are nowadays more and more adopting Cloud computing to execute their multi-tenant business processes in order to quickly adapt to changes of requirements at lower costs. In such environment, using configurable process models allows for various tenants to share a reference process which can be customized depending on their needs. However, there is a lack of support for cloud-specific resource configuration with considering quality of service requirements. In this paper, we cope with this gap by proposing a genetic-based approach that enables to optimally extract cloud resource configuration allocation w.r.t Cloud resource features ( i.e., elasticity and shareability), and process non functional properties ( i.e. QoS properties).
Year
DOI
Venue
2017
10.1109/ICWS.2017.101
2017 IEEE 24TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2017)
Keywords
Field
DocType
Business process management, configurable resource allocation, Cloud computing, QoS properties
Resource management,Business process management,Business process,Computer science,Process modeling,Quality of service,Resource allocation,Genetic algorithm,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
4
Name
Order
Citations
PageRank
Emna Hachicha1212.16
Karn Yongsiriwit2183.35
Mohamed Sellami32410.59
Walid Gaaloul461377.38