A RNN based offloading scheme to reduce latency and preserve energy using RNNBOS

Abstract

Mobile cloud computing is currently evolving quickly in today's trend and it provides infinite number of applications to the people those who are using regularly.MCC means the mobile gadgets are strongly tied up with cloud technology to execute various application for attaining many tasks. Mobile devices contain different application according to its own capacity to hold each application. In which many applications are in need of connecting with cloud storage. A new proposed technique named RNNBOS (Recurrent Neural Network Based Offloading scheme) is used to compute calculations in terms of energy source of mobile device along with active conditions of network, Load computations, delay possibility of request from device and quantitative amount of data being transferred for this purpose. We have simulated the above technique using python tool and observed RNN based offloading scheme is good in execution of application using MCC.

Keywords

• Computational offloading
• Mobile edge computing
• Deep neural network
• Energy consumption and mobile cloud computing