The New Service Brokering Policy for Cloud Computing Based on Optimization Techniques

Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Service broker controls the traffic routing between user bases and data centers based on different service broker policies. Service proximity based routing policy selects closest data center to route the user request. If there are more than one data centers within the same region, it is selected randomly without considering the workload, cost, processing time or other parameters. Randomly selected data center is prone to give unsatisfactory results. In this work, we propose modifying that policy by applying new schedule algorithm that can improve the time response, control the load balance. The evaluation is based on the Cloud Analyst, and the results verified the effectiveness of our proposal that can reduce the response time and the average processing time.