Adil Yousif

Work place: University of Science & Technology/Omdurman, Sudan

E-mail: adiluofk@gmail.com

Website:

Research Interests: Computer systems and computational processes, Autonomic Computing, Computer Networks, Computing Platform

Biography

Adil Yousif received the B.Sc. and M.Sc. from University of Khartoum, Sudan, and his PhD degree from UTM, University of Technology in Malaysia.  He is now Assistant Professor at Faculty of Computer Science and Information Technology, University of Science and Technology. He is also a member of PCRG research group. He has published more than ten papers in international journals and conferences. His research interests include computer networks, cloud computing, grid computing and optimization techniques.

Author Articles
Performance based Ranking Model for Cloud SaaS Services

By Sahar Abdalla Elmubarak Adil Yousif Mohammed Bakri Bashir

DOI: https://doi.org/10.5815/ijitcs.2017.01.08, Pub. Date: 8 Jan. 2017

Cloud computing systems provide virtualized resources that can be provisioned on demand basis. Enormous number of cloud providers are offering diverse number of services. The performance of these services is a critical factor for clients to determine the cloud provider that they will choose. However, determining a provider with efficient and effective services is a challenging task. There is a need for an efficient model that help clients to select the best provider based on the performance attributes and measurements. Cloud service ranking is a standard method used to perform this task. It is the process of arranging and classifying several cloud services within the cloud, then compute the relative ranking values of them based on the quality of service required by clients and the features of the cloud services. The objective of this study is to propose an enhanced performance based ranking model to help users choose the best service they need. The proposed model combines the attributes and measurements from cloud computing field and the well-defined and established software engineering field. SMICloud Toolkit has been used to test the applicability of the proposed model. The experimentation results of the proposed model were promising.

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