Design and implementation of an IoT-cloud converged virtual machine system

作     者：Son, Yunsik Jeong, Junho Lee, YangSun 

作者机构：Dongguk Univ Dept Comp Sci & Engn 30 Phildong Ro 1gil Seoul 04620 South Korea Seokyeong Univ Dept Comp Engn 124 Seokyeong Ro Seoul 02713 South Korea 

出 版 物：《JOURNAL OF SUPERCOMPUTING》 (超高速计算杂志)

年 卷 期：2020年第76卷第7期

页      面：5259-5275页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Ministry of Science, ICT and Future Planning, MSIP, (2016R1A2B4008392, 2017R1C1B5018257) National Research Foundation of Korea, NRF Ministry of Science and ICT, South Korea, MSIT, (2018R1A5A7023490) 

主　　题：Internet of things Cloud system Computational offloading Virtual machine 

摘      要：This paper presents an internet-of-things (IoT)-cloud converged virtual machine (VM) system for IoT devices with restricted computing resources. The VM is a software processor that has many advantages in terms of software development, release, maintenance, etc., owing to its platform independence. However, in low-performance devices it has a significant disadvantage because its use is restricted by high execution overheads at the software interpretation level. This paper proposes a VM system for IoT devices that solves this problem while retaining the advantages of VM technology using a lightweight interpreter model and cloud-based computation offloading. The proposed interpreter solves the limited memory/performance problem when running VMs on low-performance devices using two-level instruction-to-native function matching techniques. Furthermore, by solving the low-performance issues of IoT devices using cloud-based offloading, the proposed IoT-cloud VM can run applications that require high-performance computing even when the target hardware system is a low-power IoT device.