Design and implementation of the interpreter for the light-weight virtual machine on IoT environments

Abstract

This paper presents the interpreter module for the light-weighted virtual machine. The virtual machine is a software processor that has many advantages on software development, release, maintenance and so on due to its platform independent features. But, in execution performance aspect, it has a significant disadvantage that restricted low performance by its execution overhead for the software level interpretation. In this paper, the 2-level instruction to native function matching based interpreter proposed to solve the restricted memory/performance problems for the light-weighted virtual machine. The proposed method can execute the variously given applications for the internet of things while maintaining a low memory consumption with using optimization codes. © 2017 International Information Institute.