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China Communications 2015年第7期12卷 142-153页

作者： SHAO Sujie GUO Shaoyong QIU Xuesong MENG Luoming LEI Min State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China National Engineering Laboratory for Disaster Backup and Recovery Beijing 100876 China Nanjing University of Information Science & Technology (NUIST) Nanjing 210044 China

Meter Data Collection Building Area Network(MDCBAN) deployed in high rises is playing an increasingly important role in wireless multi-hop smart grid meter data collection. Recently, increasingly numerous application layer data traffic makes MDCBAN be facing serious communication pressure. In addition, large density of meter data collection devices scattered in the limited geographical space of high rises results in obvious communication interference. To solve these problems, a traffic scheduling mechanism based on interference avoidance for meter data collection in MDCBAN is proposed. Firstly, the characteristics of network topology are analyzed and the corresponding traffic distribution model is proposed. Next, a wireless multi-channel selection scheme for different Floor Gateways and a single-channel time unit assignment scheme for data collection devices in the same Floor Network are proposed to avoid interference. At last, a data balanced traffic scheduling algorithm is proposed. Simulation results show that balanced traffic distribution and highly efficient and reliable data transmission can be achieved on the basis of effective interference avoidance between data collection devices.

关键词： smart grid communication meter data collection traffic scheduling interference avoidance building area network

Intelligent traffic scheduling for Mobile Edge Computing in IoT via Deep Learning

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Computer Modeling in Engineering & Sciences 2023年第3期134卷 1815-1835页

作者： Shaoxuan Yun Ying Chen School of Computing Science Beijing Information Science and Technology UniversityBeijing100101China

Nowadays,with the widespread application of the Internet of Things(IoT),mobile devices are renovating our *** data generated by mobile devices has reached a massive *** traditional centralized processing is not suitable for processing the data due to limited computing power and transmission *** Edge Computing(MEC)has been proposed to solve these *** of limited computation ability and battery capacity,tasks can be executed in the MEC ***,how to schedule those tasks becomes a challenge,and is the main topic of this *** this paper,we design an efficient intelligent algorithm to jointly optimize energy cost and computing resource allocation in *** view of the advantages of deep learning,we propose a Deep Learning-Based traffic scheduling Approach(DLTSA).We translate the scheduling problem into a classification *** demonstrates that our DLTSA approach can reduce energy cost and have better performance compared to traditional scheduling algorithms.

关键词： Mobile Edge Computing(MEC) traffic scheduling deep learning Internet of Things(IoT)

A Heuristic Algorithm for Time Triggered traffic scheduling in Time-Sensitive Networks

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A Heuristic Algorithm for Time Triggered Traffic Scheduling ...

Approximate Sorting of Packet-scheduling in High-Speed Networks

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作者： Shengming Chen Wending Wang Suolan Zhou Lei Zhang College of Internet of Things Nanjing University of Posts and Telecommunications Baic Electronics SK Jiang Su Technology Co.Ltd

Time Sensitive Networks(TSN) is a set of revisions to the IEEE 802.1 standard enabling safety-critical and real-time transmission over *** is crucial in TSN to use a reasonable scheduling algorithm to guarantee the deterministic delivery of streams.A heuristic algorithm is proposed in this paper for incremental time triggered traffic scheduling in *** identifies available time slots with pruning *** the available time slot is insufficient to generate a scheduling plan,fallback operations are executed to extend the time *** results show that the proposed algorithm can effectively improve the success rate of traffic scheduling in the application scenarios with different network sizes and stream scales.

关键词： time sensitive networks time aware shaper traffic scheduling

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Journal of Computer Science & Technology 2001年第4期16卷 315-328页

作者：王有成余胜生查辉周敬利 Department of Computer Science Huazhong University of Science and Technology Wuhan P.R. China

Fairness, latency and computational complexity are three important factors in evaluating the performance of a scheduling algorithm. Fairness must be satisfied so that service can be distributed according to the reserved rate. Only when latency is irrelevant to the number of connections, is it possible to minimize the end-to-end delay through controlling the reserved rate. Among existing scheduling algorithms, Round Robin is the least complex. However, conventional Round Robin is unable to ensure fairness, and the improved round robin algorithms like Deficit Round Robin, Weighted Round Robin and Virtual Round Robin are unable to ensure that their latencies are irrelevant to the number of connections although they gua- rantee fairness. Potential Round Robin developed for analysis of fairness and latency reduction is thus proposed. It is based on the introduction of a new concept, Round Potential Function. The function splits service time into a number of service round periods to guarantee fairness regardless of the serving process used in the period. In the analysis of latency, service round periods are re-split into multiple scanning cycles for further service distribution with approximate sorting between scanning cycles. As a result, latency is no longer relevant to the number of connections while the low complexity of round robin is kept.

关键词： packet scheduling traffic scheduling deterministic service Quality- of-Service round robin

DR-IS:Dynamic Response Incremental scheduling in Time-Sensitive Network

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China Communications 2024年第10期21卷 28-42页

作者： Pei Jinchuan Hu Yuxiang Tian Le Li Ziyong PLA Strategic Support Force Information Engineering University Zhengzhou 450002China

Time-Sensitive Network(TSN)with deterministic transmission capability is increasingly used in many emerging *** mainly guarantees the Quality of Service(QoS)of applications with strict requirements on time and *** of the core features of TSN is traffic scheduling with bounded low delay in the ***,traffic scheduling schemes in TSN are usually synthesized offline and lack *** implement incremental scheduling of newly arrived traffic in TSN,we propose a Dynamic Response Incremental scheduling(DR-IS)method for time-sensitive traffic and deploy it on a software-defined time-sensitive network *** the premise of meeting the traffic scheduling requirements,we adopt two modes,traffic shift and traffic exchange,to dynamically adjust the time slot injection position of the traffic in the original scheme,and determine the sending offset time of the new timesensitive traffic to minimize the global traffic transmission *** evaluation results show that DRIS method can effectively control the large increase of traffic transmission jitter in incremental scheduling without affecting the transmission delay,thus realizing the dynamic incremental scheduling of time-sensitive traffic in TSN.

关键词： incremental scheduling time-sensitive network traffic scheduling transmission jitter

Dynamic QoS Mapping and Adaptive Semi-Persistent scheduling in 5G-TSN Integrated Networks

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China Communications 2023年第4期20卷 340-355页

作者： Yueping Cai Xiaowen Zhang Shaoliu Hu Xiaocong Wei School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400030China Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing UniversityChongqing 400030China

The ubiquitous and deterministic communication systems are becoming indispensable for future vertical applications such as industrial automation systems and smart grids.5G-TSN(Time-Sensitive Networking)integrated networks with the 5G system(5GS)as a TSN bridge are promising to provide the required communication *** guarantee the endto-end(E2E)QoS(Quality of Service)performance of traffic is a great challenge in 5G-TSN integrated networks.A dynamic QoS mapping method is proposed in this *** is based on the improved K-means clustering algorithm and the rough set theory(IKCRQM).The IKC-RQM designs a dynamic and loadaware QoS mapping algorithm to improve its *** adaptive semi-persistent scheduling(ASPS)mechanism is proposed to solve the challenging deterministic scheduling in *** includes two parts:one part is the persistent resource allocation for timesensitive flows,and the other part is the dynamic resource allocation based on the max-min fair share *** results show that the proposed IKC-RQM algorithm achieves flexible and appropriate QoS mapping,and the ASPS performs corresponding resource allocations to guarantee the deterministic transmissions of time-sensitive flows in 5G-TSN integrated networks.

关键词： 5G-TSN integrated networks QoS mapping traffic scheduling resource allocation

Review of Load Balancing Mechanisms in SDN-Based Data Centers

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Journal of Computer and Communications 2024年第1期12卷 49-66页

作者： Qin Du Xin Cui Haoyao Tang Xiangxiao Chen School of Computer Science and Technology Shandong University of Technology Zibo China

With the continuous expansion of the data center network scale, changing network requirements, and increasing pressure on network bandwidth, the traditional network architecture can no longer meet people’s needs. The development of software defined networks has brought new opportunities and challenges to future networks. The data and control separation characteristics of SDN improve the performance of the entire network. Researchers have integrated SDN architecture into data centers to improve network resource utilization and performance. This paper first introduces the basic concepts of SDN and data center networks. Then it discusses SDN-based load balancing mechanisms for data centers from different perspectives. Finally, it summarizes and looks forward to the study on SDN-based load balancing mechanisms and its development trend.

关键词： Software Defined Network Data Center Load Balancing traffic Conflicts traffic scheduling