
Research Article
Checkpoints and Requirements Based Cloud Service Ranking
@INPROCEEDINGS{10.1007/978-3-319-95450-9_1, author={Mohammad Belgaum and Shahrulniza Musa and Muhammad Alam and Mazliham Mohd Su’ud and Safeeullah Soomro and Zainab Alansari}, title={Checkpoints and Requirements Based Cloud Service Ranking}, proceedings={Emerging Technologies in Computing. First International Conference, iCETiC 2018, London, UK, August 23--24, 2018, Proceedings}, proceedings_a={ICETIC}, year={2018}, month={7}, keywords={Checkpoints Service ranking Load balancing Scheduling}, doi={10.1007/978-3-319-95450-9_1} }
- Mohammad Belgaum
Shahrulniza Musa
Muhammad Alam
Mazliham Mohd Su’ud
Safeeullah Soomro
Zainab Alansari
Year: 2018
Checkpoints and Requirements Based Cloud Service Ranking
ICETIC
Springer
DOI: 10.1007/978-3-319-95450-9_1
Abstract
Cloud computing and the services offered by cloud computing in the field of Information and Communication Technology has impacted the enterprises and is stimulating at a more prominent pace in the recent years. Various studies have been conducted in the field to meet the client’s requirements and raise the quality of services offered. Based on the client’s requests and integrating it with load balancing as one of the challenges of cloud computing to be addressed the cloud services are ranked. In order to offer better services to the clients and to maintain the trust, load balancing as one of the criteria in real time scheduling is adopted. In order to attain ranking, different services are required to be invoked in the cloud, the requirement factors and the ranking criteria for each factor has been considered to rank them using entropy analysis of Shannon Furthermore, a framework has been proposed to rank them based on the weights attained by the requirements and the ranking criteria.