Optimal Provisioning of Resource in a Cloud Service
Cloud service allows enterprise class and individual users to acquire computing resources from large scale data centers of service providers. This cloud service is more involved in purchasing and consuming manners between providers and users than others. However, Cloud service providers charge users for these services. Specifically, to access data from their globally distributed storage edge servers, providers charge users depending on the user's location and the amount of data transferred. User applications may incur large data retrieval and execution costs. Therefore, optimizing execution time, the cost arising from data transfers between resources as well as execution costs should be taken into account. In this paper, the authors present a Discrete Particle Swarm Optimization (DPSO) approach for tasks allocation.