Abstract When clustering objects to be allocated on a numbe r of nodes, most researches focus only on either the communication cost between clusters or the balancin g of the workload on the nodes. Load balancing is a technique to distribute workload evenly across two or more compu ters, network links, CPUs, hard drives or other resources, in order to, get optimal resource utilization, maximize throughp ut, minimize response time and avoid overload. In this paper, we introduce three clustering algorithms that obtain balanced cl usters for homogeneous clustered with minimized com munication cost. 

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[38] Zhang Q., Riska A., Sun W., and Smimi E., Ciardo G., Workload5Aware Load Balancing for Clustered Web Servers, Parallel and Distributed Systems , IEEE Transactions on Computer Society , vol. 16, no. 3, pp. 2195233, 2005. Heba Ragab received the BSc degree in 2000 and MSc in 2007, and PhD degree in 2014, in computer and automatic control from the Faculty of Engineering, Tanta University. She is working now as a Lecturer at Computers and Automatic Control Department., Tanta University., Egypt. Her interests are in the area of: Distribute d systems and computations, software restructuring an d neural networks. Amany Sarhan received the BSc degree in electronics engineering and MSc degree in computer science and automatic control from the Faculty of Engineering, Mansoura University, in 1990 and 1997, respectively. She awarded the PhD degree as a joint research between Tanta Universety , Egypt and University of Connecticut, USA. She is working now as an Associate Prof. at Computers and Automatic Control Department., Tanta University, Egypt. Her interests are in the area of: Distribute d systems and computations, software restructuring, schema matching, image and video processing. Al Sayed Sallam received his MSc and PhD degrees from Bremen in Germany on 1983 and 1987 respectively. He is working now as an Associate Prof. and Head of Computers and Automatic Control Department., Tanta University, Egypt. His interests are in the area of: Control, software restructuring, robotics and network. He is the CIO of Tanta University for the last 2 years. Reda Ammar received his PhD degree, University of Cyhhonnecticut, computer science, 1983. He worked as the head of Department at Computer Science and Engineering Department, UCONN, USA. His Research Interests are: Software performance engineering; parallel and distributed computing; real5time systems and cluste r and grid computing. He is IEEE (senior member), ACM, ISCA, Editor5in5Chief of the International Journal of Computers and Their Applications, Associate Editor in Computing Letters and Member of the Board of Directors of the International Society of Computers and Their Applications.