Load Balancing of Web Server System Using Service Queue Length

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6 Pc- Load Balancing Algorithm 1. If Q(n) (1<=n<=N) is the current queue length at server n, the expected queue length after a time interval T, [equal to the expected time between two successive] can be approximated by- Where, L (n) expected number of request assigned to server n, T time interval, is the service rate, is the mean of new arrival request in this time interval. 2., is expected number of request processing T assuming that the server is always busy. 3. (a) Initial stage: Initialized parameter of server side (e) Type[x, y, z], where x is memory capacity, y is the connection capacity, z is the queue capacity. (b) Check balance equality weighted factor with equality finder mathematically equation [X+Y+ Z=1] Where, calculate the load balancing with serving capacity (U) of server n. (c) Find the with available number of n server. V. EXPERIMENTAL ANALYSIS In this section, experiment results have been analyzed. We have compared our proposed load balancing algorithm with other two existing load balancing algorithm (Round Robin and weighted Least Connection). We have taken homogeneous as well as heterogeneous environment. 5.1 Homogeneous Environment With Fixed Queue-Size In the homogeneous environment, all the Web servers are having same configuration. For experiment, we have taken memory 1 GB, number of connections 1000 and queue size is 50 on each Web server, Table-1 shows the total generated traffic and dropped requests by Round Robin (RR), weighted Least Connection (WLC) and proposes load balancing algorithm. As we see that, drop rate of weighted Least Connection algorithm is high. Proposed load balancing algorithm shows best results in homogeneous environment with fixed queue size. (d) In server TABLE:-1 Experiment Results (RR vs. WLC vs. PC- load Algorithm) Requests Generated Requests Dropped RR WLC PC-load Algorithm

7 Figure: - 4 show the comparison of all the three algorithms. In all the cases, drop rate of proposed PC-load balancing algorithm is minimum. The server throughput comparisons of different load balancing algorithms are shown in the Figure:-5. If drop rate of any Web server is less then it serves more requests, so it will provide more throughputs comparatively. Proposed PC-load balancing algorithm has less drop rate so it will provide higher through as shown in the Figure. Figure:-4 Comparison of all three Load Balancing Algorithms homogeneous environment with fixed queue size. As we already have discussed if the drop of any server is high than the throughput of the server is low. In Round Robin and weighted Least Connection algorithm has high drop rate. Therefore, server throughput is minimum. Our Proposed algorithm has low drop rate so it provides better throughput. The formula for the server throughput given by- Server Throughput = (Total Requests-Drop Requests)/ Total Requests. Table:-2 show the throughput of the server in homogeneous environment with fixed queue size. When number of generated is 4000 requests, throughput of the Web server in proposed load balancing algorithm is more than 80%. In Round Robin and weighted Least Connection, algorithm server throughput is almost same 70%. TABLE:-2 Server Throughput in Homogeneous Environment with fixed Queuesize Requested Generated Server Throughput (in %) RR WLC Proposed Figure:-5 Server Throughput in Homogeneous environment (fixed Queue Size) 5.2 Heterogeneous Environment With Fixed Queue Size We have compared our proposed PC-Load balancing algorithm in heterogeneous environment with fixed queue size. In heterogeneous environment server have different configuration. We have taken different parameter for experiment as given in Table:-3. Table:-3 Heterogeneous Server Configuration with fixed Queue Size List of Server Memory connection Queue Size( request) Server1 1GB Server2 2GB Server3 1GB Table:- 4 shows that in the heterogeneous environment, we have generated 5000, 6000, 7000, 8000 requests for experimental analysis and we have observed that proposed load balancing gives better results than the other two load balancing algorithm (RR and WLC). 79

8 Weighted Least Connection gives worst results because it depends on the connections Server1 and Server 3 have minimum configuration 1000 parallel connection, so, according to their nature it will sends new requests to the Server1 or Server3. When servers reach their maximum serving capacity (1000 connection), after this new incoming request may dropped. Table: - 4 Experiment Result in Heterogeneous Environment with fixed Queue size Requests Generated Requests Dropped RR WLC PC-load Algorithm Table-14 shows the throughput of the servers. PC-Load balancing algorithm have high throughput of the server followed by Round Robin Algorithm and Weighted Least Connection shows worst results because it has the high drop rate. We have calculated server throughput using the formula given below: Server Throughput = (Total Requests- Drop Requests)/ Total Requests. Requested Generated Table:-5 Server Throughput with fixed Queue size Server Throughput (in %) RR WLC PC-Load Balancing Algorithm Figure: - 6 shows, Round Robin gives better results than Weighted Least Connection Algorithm, because it sends the requests to all three servers in a circular way. Weighted Least Connection has worst results than Round Robin and PC-Load Balancing Algorithm because it chooses the server having fewer requests. It sends request to server1 or Server3, server1 and Server3 have 1000 parallel connections so, it can server 1000 connections, after 1000 request it may drop the requests Figure:-7 show throughput comparison of the servers. When the incoming requests is 5000, server throughput in the proposed algorithm is more than 88.40%, Round Robin has more than 74.58% throughput. Weighted Least Connection has minimum throughput about to 61.76%. Figure: - 6. Comparison of Load Balancing Algorithm (fixed Queue size) Figure: - 7. Comparison of Throughput of the Servers (fixed Queue Size) Proposed PC- load balancing algorithm has shown higher throughput because drop rate is minimum. Round Robin has shown lesser throughput than proposed algorithm and higher throughput as compare to the weighted Least Connection algorithm. 80

Abstract. 1. Introduction

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