Energy-efficient hardware caching decision using Fuzzy Logic in Mobile Edge Computing

To bring data contents and services in close proximity to the mobile user, mobile edge networks are good candidate because they provide cloud computing and caching capabilities at the edge of cellular networks, hence offering proximity that ensures low latency and high bandwidth through the concept of Mobile Edge Computing (MEC) [22]. To supply effective caching services in the highly resource-constrained and dynamically mobile environment, we propose an energy-efficient fuzzy caching technique for edge devices. This technique uses various parameters (such as mobility and requests frequency) to ensure the effectiveness of our proposed mechanism that highlights the challenge of the computational complexity in mobile edge computing. In this paper, our contribution is a novel solution based on a hardware implementation that uses Field-Programmable Gate Array (FPGA) as an alternative computational architecture that cuts overall energy requirements. Preliminary implementation and evaluation results demonstrate that the proposed solution reduces the energy consumption and the server load of the edge devices by using an FPGA implementation for fuzzy logic caching decision.