Said Fathy El-Zoghdy

Work place: Computer Science Dep., College of Computers & Information Technology, Taif University, Taif, KSA



Research Interests: Computer systems and computational processes, Systems Architecture, Network Security, Distributed Computing, Parallel Computing, Information Systems, Data Structures and Algorithms


Dr. Said Fathy El-Zoghdy Was born in El-Menoufia, Egypt, in 1970. He received the BSc degree in pure Mathematics and Computer Sciences in 1993, and MSc degree for his work in computer science in 1997, all from the Faculty of Science, Menoufia, Shebin El-Koom, Egypt. In 2004, he received his Ph. D. in Computer Science from the Institute of Information Sciences and Electronics, University of Tsukuba, Japan. From 1994 to 1997, he was a demonstrator of computer science at the Faculty of Science, Menoufia University, Egypt. From December 1997 to March 2000, he was an assistant lecturer of computer science at the same place. From April 2000 to March 2004, he was a Ph. D. candidate at the Institute of Information Sciences and Electronics, University of Tsukuba, Japan, where he was conducting research on aspects of load balancing in distributed and parallel computer systems. From April 2004 to 2007, he worked as a lecturer of computer science, Faculty of Science, Menoufia University, Egypt. From 2007 until now, he is working as an assistant professor of computer science at the Faculty of Computers and Information Systems, Taif University, Kingdom of Saudi Arabia. His research interests are in load balancing in parallel and distributed systems, Grid computing, performance evaluation, network security and cryptography.


Author Articles
A Hierarchical Load Balancing Policy for Grid Computing Environment

By Said Fathy El-Zoghdy

DOI:, Pub. Date: 8 Jun. 2012

With the rapid development of high-speed wide-area networks and powerful yet low-cost computational resources, grid computing has emerged as an attractive computing paradigm. It provides resources for solving large scientific applications. It is typically composed of heterogeneous resources such as clusters or sites at different administrative domains connected by networks with widely varying performance characteristics. The service level of the grid software infrastructure provides two essential functions for workload and resource management. To efficiently utilize the resources at these environments, effective load balancing and resource management policies are fundamentally important. This paper addresses the problem of load balancing and task migration in grid computing environments. We propose a fully decentralized two-level load balancing policy for computationally intensive tasks on a heterogeneous multi-cluster grid environment. It resolves the single point of failure problem which many of the current policies suffer from. In this policy, any site manager receives two kinds of tasks namely, remote tasks arriving from its associated local grid manager, and local tasks submitted directly to the site manager by local users in its domain, which makes this policy closer to reality and distinguishes it from any other similar policy. It distributes the grid workload based on the resources occupation ratio and the communication cost. The grid overall mean task response time is considered as the main performance metric that need to be minimized. The simulation results show that the proposed load balancing policy improves the grid overall mean task response time.

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