A Proposed Service Broker Strategy in CloudAnalyst for Cost-Effective Data Center Selection

With the advancement of cloud technologies, it is necessary to simulate large scale applications on cloud before their real time implementation. Using simulation, we can study the behavior of cloud environment. CLOUDS Laboratory introduced Cloud-Analyst, the Cloud-Sim based tool. It is useful to model and analyze large scale cloud computing development. The simulator uses different algorithms (Service Broker Algorithms, Load balancing algorithms etc) with taking some parameters under consideration as per requirement. Based on all given inputs, it gives the report for that cloud environment. With the help of simulation report, we can modify the cloud environment as per requirement. The service proximity based routing policy selects closest data center to route the user request. When there is the situation to select one data center from those with same region, the policy selects data-center randomly without considering cost-effectiveness. We have proposed the extended service proximity based routing policy. Using proposed policy, we can have the routing of user requests such that we can have cost effective data-center selection. Same as this modification in Cloud-Analyst, we can have improved simulation tool/process gradually.