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Search Results (5)
  • Open Access

    ARTICLE

    Performance Evaluation of Topologies for Multi-Domain Software-Defined Networking

    Jiangyuan Yao1, Weiping Yang1, Shuhua Weng1, Minrui Wang1, Zheng Jiang2, Deshun Li1,*, Yahui Li3, Xingcan Cao4

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 741-755, 2023, DOI:10.32604/csse.2023.031531

    Abstract Software-defined networking (SDN) is widely used in multiple types of data center networks, and these distributed data center networks can be integrated into a multi-domain SDN by utilizing multiple controllers. However, the network topology of each control domain of SDN will affect the performance of the multi-domain network, so performance evaluation is required before the deployment of the multi-domain SDN. Besides, there is a high cost to build real multi-domain SDN networks with different topologies, so it is necessary to use simulation testing methods to evaluate the topological performance of the multi-domain SDN network. As there is a lack of… More >

  • Open Access

    ARTICLE

    Data Center Traffic Scheduling Strategy for Minimization Congestion and Quality of Service Guaranteeing

    Chunzhi Wang, Weidong Cao*, Yalin Hu, Jinhang Liu

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4377-4393, 2023, DOI:10.32604/cmc.2023.037625

    Abstract According to Cisco’s Internet Report 2020 white paper, there will be 29.3 billion connected devices worldwide by 2023, up from 18.4 billion in 2018. 5G connections will generate nearly three times more traffic than 4G connections. While bringing a boom to the network, it also presents unprecedented challenges in terms of flow forwarding decisions. The path assignment mechanism used in traditional traffic scheduling methods tends to cause local network congestion caused by the concentration of elephant flows, resulting in unbalanced network load and degraded quality of service. Using the centralized control of software-defined networks, this study proposes a data center… More >

  • Open Access

    ARTICLE

    Exploring High-Performance Architecture for Data Center Networks

    Deshun Li1, Shaorong Sun2, Qisen Wu2, Shuhua Weng1, Yuyin Tan2, Jiangyuan Yao1,*, Xiangdang Huang1, Xingcan Cao3

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 433-443, 2023, DOI:10.32604/csse.2023.034368

    Abstract As a critical infrastructure of cloud computing, data center networks (DCNs) directly determine the service performance of data centers, which provide computing services for various applications such as big data processing and artificial intelligence. However, current architectures of data center networks suffer from a long routing path and a low fault tolerance between source and destination servers, which is hard to satisfy the requirements of high-performance data center networks. Based on dual-port servers and Clos network structure, this paper proposed a novel architecture to construct high-performance data center networks. Logically, the proposed architecture is constructed by inserting a dual-port server… More >

  • Open Access

    ARTICLE

    Openflow Based Dynamic Flow Scheduling with Multipath for Data Center Networks

    Haisheng Yu1, Heng Qi1, Keqiu Li1, Jianhui Zhang1,Peng Xiao2, Xun Wang1

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 251-258, 2018, DOI:10.32604/csse.2018.33.251

    Abstract The routing mechanism in Data Center networks can affect network performance and latency significantly. Hash-based method, such as ECMP (Equal-Cost Multi-Path), has been widely used in Data Center networks to fulfill the requirement of load balance. However, ECMP statically maps one flow to a path by a hash method, which results in some paths overloaded while others remain underutilized. Some dynamic flow scheduling schemes choose the most underutilized link as the next hop to better utilize the network bandwidth, while these schemes lacks of utilizing the global state of the network. To achieve high bandwidth utilization and low latency, we… More >

  • Open Access

    ARTICLE

    An OpenFlow-Based Load Balancing Strategy in SDN

    Xiaojun Shi1, Yangyang Li2, *, Haiyong Xie2, 3, Tengfei Yang2, Linchao Zhang2, Panyu Liu4, Heng Zhang4, Zhiyao Liang5

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 385-398, 2020, DOI:10.32604/cmc.2020.06418

    Abstract In today’s datacenter network, the quantity growth and complexity increment of traffic is unprecedented, which brings not only the booming of network development, but also the problem of network performance degradation, such as more chance of network congestion and serious load imbalance. Due to the dynamically changing traffic patterns, the state-of the-art approaches that do this all require forklift changes to data center networking gear. The root of problem is lack of distinct strategies for elephant and mice flows. Under this condition, it is essential to enforce accurate elephant flow detection and come up with a novel load balancing solution… More >

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