Research Article
QoS Optimization for Cloud Service Composition Based on Economic Model
@INPROCEEDINGS{10.1007/978-3-319-19656-5_48, author={Hisham Kholidy and Hala Hassan and Amany Sarhan and Abdelkarim Erradi and Sherif Abdelwahed}, title={QoS Optimization for Cloud Service Composition Based on Economic Model}, proceedings={Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2015}, month={7}, keywords={Cloud service composition Cloud computing Genetic algorithm Quality of service}, doi={10.1007/978-3-319-19656-5_48} }- Hisham Kholidy
Hala Hassan
Amany Sarhan
Abdelkarim Erradi
Sherif Abdelwahed
Year: 2015
QoS Optimization for Cloud Service Composition Based on Economic Model
IOT360
Springer
DOI: 10.1007/978-3-319-19656-5_48
Abstract
Cloud service composition is usually long term based and economically driven. Services in cloud computing can be categorized into two groups: Application services and Computing Services. Compositions in the application level are similar to the Web service compositions in Service-Oriented Computing. Compositions in the computing level are similar to the task matching and scheduling in grid computing. We consider cloud service composition from end users perspective. We propose Genetic Algorithm-based approach to model the cloud service composition problem. A comparison is given between the proposed composition approach and other existing algorithms such as Integer Linear Programming. The experiment results proved the efficiency of the proposed approach.