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4 5. Flow Chart 5. Simulation and Result Analysis Flow Chart of the Proposed Algorithm In every case we have compare the result of proposed SJF algorithm with the existing RR, FCFS algorithm using java language. The figure 1.Shows the comparisons of these algorithms on the basis of average waiting time. Table 1.shows the sequences according to five processes along with burst time and respective average waiting time for three respective algorithms, such as Round Robin (RR), First Come First Served (FCFS), SJF (Shortest Job First).Here we take arbitrary process burst time. Figure 2.shows the comparisons of the above three respective scheduling algorithms on the basis of average Turnaround Time. Table 2. Shows the sequences according to five processes along with burst time and respective average Turnaround Time for three respective algorithms, such as Round Robin (RR), First Come First Served (FCFS), SJF (Shortest Job First), it is said that our approach shows better performance among them. Table 1. Three Different Scheduling Algorithms with Five Different Processes Along With Burst Time and Average Waiting Time Sl. No. Process Burst Time RR F CFS SJF 1. [12,15,11,25,7] [26,10,14,15,13] [9,27,10,9,17] [15,16,27,22,11] [13,24,9,17,19] [23,14,12,22,19] Copyright c 2015 SERSC

5 100 0 Comparison of Average Waiting Time RR FCFS SJF Figure 1. Comparison of Average Waiting Time with Six Different Processes of Three Different Scheduling Load Balancing Techniques Table 2. Three Different Scheduling Algorithms with Four Different Processes Along With Burst Time and Turnaround Time Sl. No. Process Burst Time R R 1. [12,15,11,25,7] [26,10,14,15,13] [9,27,10,9,17] [15,16,27,22,11] [13,24,9,17,19] [23,14,12,22,19] 7 7 FC S FS JF Comparison of Average Turnaround Time 50 0 RR FCFS SJF Figure 2. Comparison of Average Turnaround Time with Six Different Processes of Three Different Scheduling Load Balancing Techniques 6. Conclusion and Future Plan The result shows that both average waiting time and average Turnaround Time are very less in case of SJF scheduling which helps to improve the performance of the system and maintain an efficient load balancing with very fast manner. But SJF faces some difficulties, such as the burst time of the process have to predict before CPU start the execution. But it is quite impossible to predict the burst time of the process complete Copyright c 2015 SERSC 175

7 Enakshmi Nandi, received her M. Tech in VLSI and Microelectronics from Techno India, Salt Lake, West Bengal and B. Tech in Electronics and Communication Engineering from JIS College of Engineering, West Bengal under West Bengal University of Technology, West Bengal, India. At present, she is Research scholar in Computer Science and Engineering from University of Kalyani. Her research interests include Cloud Computing, Mobile Communication system, Device and Nanotechnology. Debabrata Sarddar, is an Assistant Professor at the Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, West Bengal, India. He completed his PhD from Jadavpur University. He did his M. Tech in Computer Science & Engineering from DAVV, Indore in 2006, and his B.E in Computer Science & Engineering from NIT, Durgapur in He has published more than 75 research papers in different journals and conferences. His research interests include Wireless and Mobile Systems and WSN, and Cloud computing. Copyright c 2015 SERSC 177

8 178 Copyright c 2015 SERSC

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