Optimized Cloudlet Scheduling Based Method for Mobile Phones

Abstract

The improvement in communication technology incorporates sophisticated electronic gadgets that rely on wireless technique to support the signal transmission from the emitter to the receiver points. The cloudlet scheduling method relies on the environment and task type to accomplish the scheduling process in an algorithm supported by the visual machine programs. The paper captures the cloudlet network gains attributed to the increased use of cloudlet scheduling technique in tablets and mobile phones operated within the communication and data delivery platform. The system relies on improved storage space and processing speed with which the systems works with reference of minimizing power usage. The platform sustains efficient programming of tasks through the application of meta-heuristic algorithms. The paper focuses on AES algorithm and how it solves a given task at every instance while optimizing system efficiency. The beauty of the algorithm is efficient energy consumption in the data transfer platform that adopts the analysis in response to the task completion based on first-come-first-serve. The concept sustains the sequences of service delivery in the computing networks. The algorithm anchored in the cloudlet platform facilitates the use of the internet to support data transmission between different users and the server that rely on the same computing infrastructure.