Swarm Intelligence Algorithms for Profit Maximization and Delay Minimization in Internet Data Centers

Internet Data Centers have increasingly gained importance in recent days. organizations require their data centers to run with minimum expenditure to improve profits, and the service requests need to be fulfilled with the minimum service delay possible. Increasing profits and minimizing service delay are challenges faced by data centers on a day-to-day basis. The demand response in a data center is a crucial challenge to be optimized because of its direct correlation with profits and delay in an internet data center. In this paper, meta-heuristic swarm algorithms are analyzed to find the best possible profits and minimum possible delays that can arise in a data center for a particular number of active servers and the amount of workload processed by the data center. The methods are verified with real-world data for pricing schemes of electricity, power consumption, request loads and data center specifications.