Journal of Theoretical and Applied Information Technology 20 th July Vol.77. No JATIT & LLS. All rights reserved.

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4 standing for the throughput. After computing of thr by using Equation ( 1) chance of selecting of every node as Equation (2) is computed. (2) We followed the MAX-MIN Ant System (MMAS) for the update of pheromone trials. Regarding pheromone trial limits, an estimate of the upper bound is used to define max; where best is the bestso-far solution, and is the evaporation rate of pheromone trails. After calculating pheromone rate for every path, an amount of pheromone must be updated. Cost function as shown by Equation ( 3) is a function that calculates total length of the path traced by an ant. Ant (i).cost =cost function (ant (i).tour).tour (3) Ant.cost is a result of cost function based on which costly paths are traced. Thus, as shown by Equation (4) the paths that are more costly will have less pheromone: As time passes, as Equation (5) shows, the amount of pheromone evaporates on the paths in distributed system and evaporation will be happened after finishing iteration. (5) (4) 4. EXPERIMENTAL SETUP Experiments were run on a Mini Laptop with following properties: intel Atom Cpu 1.60GHz with a memory of 1.00 GB. Matlab is adaptive software for this kind of algorithms which need lots of computing functions. The algorithms have been implemented in such an environment. Table 1 shows all parameters that must be set in our evaluation. Table 1. Evaluation setting Ant population 40 Α 1 Β 1 numbers of node Max iterations 30 In this experiment, nodes are completely heterogeneous, and the workload and CPU running time are selected randomly. Depending on the workload in every node, 15 to 25 iterations are done until the system is balanced. This paper shows the differences of the two algorithms in the following figures. As it is indicated in Figure 2, the proposed algorithm gives a better result than ACO. In Figure 2, total cost of proposed algoritm shows , but ACO algorithm shows Thus, in our algorithm, total cost of load balancing has been lessened in comparison to standard ACO algorithm. We tried to show that in the proposed algorithm, overhead in the network is less than that of the ACO algorithm because, as shown in Figure 3, compression of circles that act like a pointer showing time load balancing in a particular node is less than that of Figure 4 which is based on DASUD algorithm. Figure 2: Comparison Of Cost Of Load Balancing 256

6 [5] Moallem, A., & Ludwig, S. (2009). Using artificial life techniques for distributed grid job scheduling. Proceedings of the 2009 ACM Symposium on Applied Computing, [6] M. Dorigo, Gambardella L.M.(1997) Ant Colony system: A Cooperative learning approach to the traveling salesman problem, IEEE,Trans.on evolutionary computation, 1(1), [7] M. Dorigo and T. Stützle, Ant Colony Optimization, MIT Press, [8] Chang, R., Chang, J., & Lin, P. (2007). Balanced job assignment based on ant algorithm for computing grids. Proceedings of the 2nd IEEE Asia-Pacific Service Computing Conference, [9] A. D. Ali, and M. A. Belal, Multiple ant colonies optimization for load balancing in distributed systems, in Proc. Inter. Conf, ICTA 07, [10] Ratnesh Kumar Nath, Efficient Load Balancing Algorithm in Grid Environment, Thapar University, Patiala, May [11] Douglas Thain and Miron Livny. The ethernet approach to grid computing. In Proc. Of 12th IEEE Symposium of High Performance Distributed Computing, [12] Nasir, H.J.A. & Ku-Mahamud, K.R. (2010). Grid load balancing using ant colony optimization. Proceeding of the2nd International Conference on Computer and Network Technology, 23-25April 2010, Bangkok, Thailand, [13] Sathish, K., & Reddy, A. (2008). Enhanced ant algorithm based load balanced task schedulingin grid computing. International Journal of Computer Science and Network Security, 8(10), [14] M. Dorigo and T. Stützle, Ant Colony Optimization, IT Press, [15] Moallem, A., & Ludwig, S. (2009). Using artificial life techniques for distributed grid job scheduling. Proceedings of the 2009 ACM Symposium on Applied Computing, [16] Ali, A., Belal, M., A., & Al-Zoubi, M., B. (2010). Load balancing of distributed systems based on multiple ant colonies optimization. American Journal of Applied Sciences, 7(3),

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