Azzam Sleit

Work place: The University of Jordan/ Department of Computer Science/ King Abdullah II School for Information Technology, Amman, 11941, Jordan



Research Interests: Software Notations and Tools, Data Mining, Cloud Computing


Azzam Sleit holds B.Sc, M.Sc. and Ph.D. in Computer Science. He received his Ph.D. in 1995 from Wayne State University, Michigan. Azzam Sleit is the Former Minister of Information and Communications Technology (2013-2015). He was functioning as the Dean of King AbdullaII School for Information Technology and a Professor of Computer Science with the University of Jordan, where he had also functioned as the Assistant President and Director of the Computer Center (2007-2009). Before joining the University of Jordan in 2005, Prof. Sleit was the Chief Information Officer at Hamad Medical/ Ministry of Public Health, Qatar. Prof. Sleit has over twenty-five years of experience and leadership working at all levels of government, private and international sectors. Prof. Sleit has participated in numerous research activities related to Cloud Computing, Imaging Databases, Data Mining, Health and Management Information Systems and Software Engineering. He authored more than sixty refereed research papers published in reputable journals and conferences. Since 1987, Prof. Sleit has taught Computer Science courses at various universities in the United States and Middle East maintaining high teaching standards.

Author Articles
HKCHB: Meta-heuristic Algorithm for Task Scheduling and Load Balancing in Cloud-fog Computing

By Mahmoud Moshref Sherin Hijazi Azzam Sleit Ahmad Sharieh

DOI:, Pub. Date: 8 Jun. 2024

Cloud-fog computing has emerged as the contemporary approach for processing and analyzing Internet of Things applications due to its ability to offer remote resources. Cloud fog computing technology provides shared resources, information, and software packages, supporting distributed parallel systems in an open environment. It constructs and manages virtual machines to enhance efficiency and attractiveness. We have consistently strived to tackle challenges affecting the efficiency of cloud fog computing, including ineffective resource utilization and response times. The improvement of these challenges can be achieved through effective task scheduling and load balancing between Virtual Machines, this problem considered as NP-hard problem. This paper proposes a Hybrid K-means Clustering Honey Bee algorithm (HKCHB) to cluster Virtual Machines into two or more clusters. Subsequently, the hybrid Honey Bee algorithm is employed for task scheduling, enhancing load balance performance. The proposed algorithm is compared with other task scheduling and load balancing algorithms, including Round Robin, Ant Colony, Honey Bee, and Particle Swarm Optimization Algorithm, utilizing the CloudSim Simulator. The results demonstrate the superiority of the proposed algorithm, yielding the lowest response time. Specifically, the response time is reduced by 22.1%, and processing time is reduced by 47.9%, while throughput is increased by 95.4%. These improvements are observed under the assumption of multiple tasks in a heterogeneous environment, utilizing one or two Data Centers with Virtual Machines. This contribution gives the impression that network systems based on the Internet of Things and cloud fog computing will be improved in the future to operate within the framework of real-time systems with high efficiency.

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