Institute of Computing Technology, Chinese Academy IR
T-REST: An Open-Enabled Architectural Style for the Internet of Things | |
Xu, Zhiwei1; Chao, Lu1,2; Peng, Xiaohui1 | |
2019-06-01 | |
发表期刊 | IEEE INTERNET OF THINGS JOURNAL |
ISSN | 2327-4662 |
卷号 | 6期号:3页码:4019-4034 |
摘要 | Computing offloading is a key challenge of new rising computing paradigms of the Internet of Things (IoT) like edge computing, which shifts computations to data sources as near as possible to gain the benefits, such as low latency and energy efficiency. However, the fragmentation problem of IoT devices results in a heterogeneous and disordered ecosystem, hindering the interoperating demands of computing offloading. What we need is an open-enabled ecosystem which allows third-party developers to create and update functions of deployed devices dynamically. We propose Things-representational state transfer (T-REST) which is an extension of the representational state transfer (REST) architectural style to address this problem. It integrates contents and computations together to inherit the uniform interface principle from REST. Three architectural constraints are added to REST: 1) reusable remote evaluation; 2) dynamic time series representation; and 3) computational hypertext. A novel event triggering mechanism is designed to decouple the tight coupling of front-end content accesses and back-end computations for resources. A reference prototype, named T-REST engine, is implemented to verify the proposed architecture with the open-enabled style, distributed semantics, and computing offloading features. Discussions show that T-REST preserves the benefits of REST. In addition, it achieves extremely lightweight footprints and can perform computing offloading through open-enabled architectures. |
关键词 | Computing offloading edge computing reusable remote evaluation (REV) representational state transfer (REST) principles software architectural style |
DOI | 10.1109/JIOT.2018.2875912 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Key Program of the National Natural Science Foundation of China[61532016] ; CAS Pioneer Hundred Talents Program[Y704061000] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000472596200004 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/4322 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Peng, Xiaohui |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Zhiwei,Chao, Lu,Peng, Xiaohui. T-REST: An Open-Enabled Architectural Style for the Internet of Things[J]. IEEE INTERNET OF THINGS JOURNAL,2019,6(3):4019-4034. |
APA | Xu, Zhiwei,Chao, Lu,&Peng, Xiaohui.(2019).T-REST: An Open-Enabled Architectural Style for the Internet of Things.IEEE INTERNET OF THINGS JOURNAL,6(3),4019-4034. |
MLA | Xu, Zhiwei,et al."T-REST: An Open-Enabled Architectural Style for the Internet of Things".IEEE INTERNET OF THINGS JOURNAL 6.3(2019):4019-4034. |
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