AN EFFICIENT AND SECURED FRAMEWORK FOR MOBILE CLOUD COMPUTING
Our daily lives are dominated by the use of smart phones. These gadgets, however, have drawbacks such as short battery life, limited compute power, small memory sizes, and unreliable network access. As a result, a variety of offloading-based methods have been developed to alleviate these limits and improve battery life time. A novel paradigm for offloading intense processing activities from mobile devices to the cloud is proposed. The offloading choice is made dynamically using an optimization model based on four primary parameters: energy consumption, CPU utilisation, execution time, and memory usage. In addition, a new security layer has been added to secure the cloud-transferred data from any assault. The results of the experiments demonstrated that the framework can choose an appropriate offloading decision for various sorts of mobile app workloads while obtaining considerable performance gains. Furthermore, unlike earlier solutions, the framework can defend application data against any threat.
Cloud Computing, Mobile Computing, Offloading Technique, Mobile Device, Energy Consumption, Battery Lifetime, Memory Size, Security Layer, Task Analysis, Computer Architecture, Execution Time, Optimization Model, Smart phones, CPU utilization, Transferred Data