Lightweight similarity checking for English literatures in mobile edge computing

Abstract

With the advent of information age, mobile devices have become one of the major convenient equipment that aids people’s daily office activities such as academic research, one of whose major tasks is to check the repetition rate or similarity among different English literatures. Traditional literature similarity checking solutions in cloud paradigm often call for intensive computational cost and long waiting time. To tackle this issue, in this paper, we modify the traditional literature similarity checking solution in cloud paradigm to make it suitable for the light-weight mobile edge environment. Furthermore, we put forward a lightweight similarity checking approach mathrm {SC_{MEC}} for English literatures in mobile edge computing environment. To validate the advantages of mathrm {SC_{MEC}}, we have designed massive experiments on a dataset. The reported experimental results show that mathrm {SC_{MEC}} can deliver a satisfactory similarity checking result of literatures compared to other existing approaches.