# Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing

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4 Yi Lua [5] proposed Join-Idle Queue for load balancing in cloud computing system. The biggest advantage with this algorithm is that it does not incur any communication overhead between dispatchers and virtual machines at job intervals. The author associates requests to a particular virtual machine trying to maintain minimum average queue length. IV. PROPOSED ALGORITHM A. Description of Proposed : Step 1. Iterate over all virtual machines (VMs) and arrange the VM list with their MIPS. Step 2. Calculate the threshold value on the basis of number of user requests (cloudlets) and number of virtual machines which will help in maintaining the queue length of virtual machine. Step 3. Create SLA on the basis of response time. Step 4. Associate cloudlet c with VMs in VM list and calculate the response time of each VM with the associated cloudlet. Step 5. Find the compatible VM for the cloudlet with minimum response time among VM list. Step 6. When the compatible pair of virtual machine and cloudlet is found then compare it with SLA. If pair supports SLA then add cloudlet c to VM otherwise not. Step 7. Now when compatible pair is found it is required to check queue length of virtual machine which will be decided on the basis of threshold calculated above. Number of cloudlets in virtual machine should be less than the threshold value to maintain the minimum queue length. Step 8. End. V. PSEUDO CODE Input: List of cloudlets (requests from user), List of Virtual Machines, SLA value Output: The best solution for tasks allocation on VMs Steps: 1. Initialize Set Current iteration_t=1 Set Current_optimal_solution=null 2. Arrange VM according to MIPS. 3. Calculate Threshold value Threshold value= No of requests (cloudlets) / No of VMs. 4. For c: cloudletlist 4.1. Compute compatible VMs according minimum response time Compatible list= []; For v: VMs Response time of c on v If (Response time < SLA Response time) Add pair(c, v) to compatible list VM assignment For v: VM from compatible list If (queue length (v) < Threshold value) Schedule[c] =v Assign v to c Break; [End if] [End for] [End for] 5. Return Copyright to IJIRCCE DOI: /IJIRCCE

5 V. SIMULATION RESULTS Simulation is performed by using cloudsim simulator. CloudSim is the toolkit for simulating cloud environment. Simulation can be defined as running software model in any hardware.evaluation of these strategies from different perspective from cost/profit to speed of application execution time is also done in CloudSim. All results of simulation are performed on the basis of proposed algorithm (SLA+JIQ) and compared with existed algorithm(nn-dwrr),round robin,random while providing user defined cloudlets(request for resources) and virtual machines by one user. The performance parameters which are compared are the results of average response time and average waiting time. Graphs are plotted for the performance evaluation of four different algorithms random, roundrobin, existed and proposed on the basis of parameters average response time and average waiting time. Results are evaluated on the basis of 20, 30 and 40 cloudlets that is by increasing the number of cloudlets. Following table is used for the graph analysis. Response time: Response time is the time involved in returning the results of user requests to the user. Waiting Time: The time involved by a process in waiting in the ready queue. Table 1: Values used for plotting graph for comparing four different algorithms by increasing number of cloudlets s Avg.Response Time Avg.Waiting Time Random Round-Robin Existing(nn-dwrr) Proposed(SLA+JIQ) Average response time: Time(Milliseconds) Avg Response Time Avg 5 0 Random Round Robin s Existed Proposed Graph 7.1 Comparison of four algorithms on the basis of avg.response time while increasing cloudlets Copyright to IJIRCCE DOI: /IJIRCCE

6 Response time is the amount of time server takes to return the results of requests to the user. Response time is affected by the parameter such as network bandwidth, number of users, number and types of requests submitted.response time is directly proportional to request being processed which means that as faster the response time, the more requests per minute are being processed. So, average response time is given by: Avg response time= sum of all finishing time of cloudlets / no of cloudlets Above graph shows the average of response time produced by four different load balancing algorithms. Average response time for the system should be minimum for the better performance. Results of graph shows that proposed method (SLA+JIQ) performs better than Round Robin, Random and existed (nn-wrr) on the basis of average response time. Here also we have used 20,30 and 40 cloudlets for the evaluation. 2. Average waiting time: The amount time a process spent in waiting in the ready queue. Waiting time should be minimum for effective load balancing because less time will be consumed for waiting in ready queue.so, waiting time is given by: Therefore, average waiting time is, Waiting time= Start time Arrival time Avg waiting time= sum of waiting time/ no of cloudlets Avg Waiting Time Time(Milli Seconds) Avg Waiting Time 5 0 Random Round Robin s Existed Proposed Graph 7.2 Comparison of four algorithms on the basis of avg. waiting time while increasing cloudlets. Graph drawn above shows the waiting time of four different algorithms that are random, round-robin, existed (nn-dwrr) and proposed (SLA+JIQ). For better performance and properly balancing of load there must be less waiting time in Copyright to IJIRCCE DOI: /IJIRCCE

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