Computation Offloading for Better Real-Time Technical Market Analysis on Mobile Devices

Abstract

∗Computation offloading is currently future-oriented, which has not been large-range deployed. However, it is a useful tool for the growing computing requirements for mobile devices. Now trading apps, such as TradingView and Futu, tend to provide either the full functionality to run real-time scripts like variants of technical, or autonomous trading strategies, turning out to increase computation scale dramatically or providing just limited functionalities. Current solutions either degrade responsibility of the mobile devices or use cloud computing, which produces more latency compared to using 5GMobile Edge Computing (MEC) units. This paper proposes a novel comparison of computing locally (or on MEC units) and a method to evaluate the offloaded acceleration rate. The result shows the suitable measure to offload computation to MEC units. In addition, it also shows that it is possible to process real-time scripts on the fog layer in some situations. It can be concluded that the proposed method reduces the latency of the whole trading system.