Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries
文献类型:期刊论文
作者 | Jin X(金曦)1,4,5![]() ![]() ![]() ![]() ![]() |
刊名 | IEEE Access
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出版日期 | 2020 |
卷号 | 8页码:6751-6767 |
关键词 | Industrial Internet of Things massive data real-time scheduling time sensitive networks |
ISSN号 | 2169-3536 |
产权排序 | 1 |
英文摘要 | Time sensitive networks support deterministic schedules over Ethernet networks. Due to their high determinism, high reliability and high bandwidth, they have been considered as a good choice for the backbone network of industrial internet of things. In industrial applications, the backbone network connects multiple industrial field networks together and has to carry massive real-time packets. However, the off-the-shelf time-sensitive network (TSN) switches can deterministically schedule no more than 1024 real-time flows due to the limited number of schedule table entries. The excess real-time flows have to be delivered by best-effort services because the switch only supports the two scheduling services. The best-effort services can reduce average delay, but cannot guarantee the hard real-time constraints of industrial applications. To make the limited number of schedule table entries support more real-time flows, first, we relax scheduling rules to reduce the requirement for schedule table entries and formulate the process of transmitting packets as a satisfiability modulo theories (SMT) specification. Then, we divide the SMT specification into multiple optimization modulo theories (OMT) specifications so that the execution time of solvers can be reduced to an acceptable range. Second, we propose fast heuristic algorithms that combine schedule tables and packet injection control to eliminate scheduling conflicts. Finally, we conduct extensive evaluations. The evaluation results indicate that, compared to existing algorithms, our proposed algorithm requires only one-twentieth the number of schedule entries to schedule the same flow set. |
WOS关键词 | WIRELESS ; 5G |
资助项目 | National Key Research and Development Program of China[2018YFB1700200] ; National Natural Science Foundation of China[61972389] ; National Natural Science Foundation of China[61903356] ; National Natural Science Foundation of China[61803368] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Liaoning Provincial Natural Science Foundation of China[2019-YQ-09] ; Liaoning Provincial Natural Science Foundation of China[20180520029] ; Liaoning Provincial Natural Science Foundation of China[20180540114] ; China Postdoctoral Science Foundation[2019M661156] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000525422700001 |
资助机构 | National Key Research and Development Program of China under Grant 2018YFB1700200, in partby the National Natural Science Foundation of China under Grant 61972389, Grant 61903356, and Grant 61803368, in part by the YouthInnovation Promotion Association of the Chinese Academy of Sciences ; Liaoning Provincial Natural Science Foundation of China under Grant 2019-YQ-09, Grant 20180520029, and Grant 20180540114 ; China Postdoctoral Science Foundation under Grant 2019M661156 |
源URL | [http://ir.sia.cn/handle/173321/26228] ![]() |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Jin X(金曦); Zeng P(曾鹏) |
作者单位 | 1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 2.Department of Computing, Hong Kong Polytechnic University, Hong Kong 3.School of Economics, Liaoning University, Shenyang 110036, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Jin X,Xia CQ,Guan N,et al. Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries[J]. IEEE Access,2020,8:6751-6767. |
APA | Jin X.,Xia CQ.,Guan N.,Xu C.,Li D.,...&Zeng P.(2020).Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries.IEEE Access,8,6751-6767. |
MLA | Jin X,et al."Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries".IEEE Access 8(2020):6751-6767. |
入库方式: OAI收割
来源:沈阳自动化研究所
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