A Proposed Service Broker Policy for Data Center Selection in Cloud Environment with Implementation
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Cloud Services may be offered as public or private or combined. There is the demand of timely, repeatable, and controllable methodologies for evaluation of algorithms, applications, and policies before actual development of cloud products. Using simulation, we can study the behavior of them in cloud environment. Cloud-Analyst, the Cloud-Sim based tool, is useful to model and analyze cloud computing environment and applications. The simulator uses different algorithms (Service Broker Algorithms, Load balancing algorithms etc) and generates report as per configuration. With the help of simulation report, we can modify the cloud environment as per requirement. The service proximity based routing policy used in the simulator selects data center from the earliest region to route the user requests. 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 or other parameters. We have proposed the extended service proximity based routing policy. Using proposed policy, we can have cost effective routing of user requests to the data center than in the original one. And thus, some of the research issues related to cost can be explored.
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