Classification of Energy Efficiency in Mobile Cloud Computing Shubham Pal and Ankur Dumka Abstract Mobile cloud computing (MCC) is a methodology, which is developed due to the inability of mobile devices to process large of amount of data and utilize less amount of energy as such the computers that can process the large amount data as compared to mobile devices. So in order overcome this problem, MCC came into existence which is used to increase the computation power and utilize energy of mobile devices that is required to process large data; to overcome this issue, there are several techniques that we discuss in this paper and their proposed solution to enhance the computation ability of mobile devices by using less energy. Techniques involve in taking off the data from mobile devices to the cloud server and perform the computation in cloud server, and when the computation of data is completed, then send back that particular data to the mobile devices. Thus, this paper studies about how to reduce the energy consumption of mobile devices by using certain parameters such as bandwidth and execution time. Keywords MCC · Storage · Energy efficiency · Battery lifetime 1 Introduction Mobile cloud computing (MCC) consists of mobile computing and cloud server computing. MCC is a collection of mobile devices, cloud, and wireless network like Internet that provides rich computation resources. Actually, the aim of MCC is to reduce the workload on mobile devices so that to operate large amount of data by using less amount of energy [1]. In mobiles devices, because of its small physical size and energy constraint for the application, we are not performing computation of application on mobile devices due to its high energy usage. The capacity of storage S. Pal (B ) · A. Dumka Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India e-mail: spal5776@gmail.com A. Dumka e-mail: ankurdumka2@gmail.com © Springer Nature Singapore Pte Ltd. 2021 V. Goar et al. (eds.), Advances in Information Communication Technology and Computing, Lecture Notes in Networks and Systems 135, https://doi.org/10.1007/978-981-15-5421-6_41 409