An application layer technique to overcome TCP incast in data center network using delayed server response

被引:1
|
作者
Suryavanshi M. [1 ]
Kumar A. [2 ]
Yadav J. [3 ]
机构
[1] Department of Computer Science, Indira College of Commerce and Science, Pune, 411033, Maharashtra
[2] JSPM’s Jayawant Technical Campus, Pune, 411033, Maharashtra
[3] Department of Computer Science, Savitribai Phule Pune University, Pune, 411007, Maharashtra
关键词
Congestion control; Data center; Delayed server response; Incast; Server request unit;
D O I
10.1007/s41870-020-00579-6
中图分类号
学科分类号
摘要
Applications running in data center networks exhibits barrier-synchronized many-to-one communication pattern. Under this pattern, multiple workers synchronously transmit data to single aggregator. Synchronized transmission from multiple workers overload small-sized buffer of switch connected to aggregator. This causes severe packet drops and leads to overall application goodput degradation. This is named as TCP Incast problem in data center network. In this paper, an application layer technique called Delayed Server Response at Application Layer (DSRAL) is proposed to mitigate TCP Incast problem. It is delay-based sequential data transmission technique. In DSRAL, aggregator first determines amount of time required by each worker to finish its data transmission. This can be done by knowing Server Request Unit (SRU) size, average Round Trip Time (RTT) and packet scheduling time. Then along with request packet, aggregator communicates distinct SRU transmission time with each worker and enforces them to transmit SRUs sequentially. Through simulation it is proved that DSRAL avoids TCP Incast problem and provides improved performance than existing application layer serialized method. It supports large number of workers and simultaneously achieves high application goodput without causing any packet loss. © 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码:703 / 711
页数:8
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  • [1] Mitigating TCP incast in data center networks using enhanced application layer technique
    Suryavanshi M.
    Yadav J.
    [J]. International Journal of Information Technology, 2022, 14 (5) : 2523 - 2531
  • [2] Modeling TCP Incast Issue in Data Center Networks and an Adaptive Application-Layer Solution
    Jin-Tang Luo
    Jie Xu
    Jian Sun
    [J]. Journal of Electronic Science and Technology, 2018, 16 (01) : 84 - 91
  • [3] Optimizing data center network throughput by solving TCP Incast problem using k-means algorithm
    Thiruvenkatam, Banudoss
    Mukeshkrishnan, Munusamy Babu
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020,
  • [4] ARS: Cross-layer Adaptive Request Scheduling to Mitigate TCP Incast in Data Center Networks
    Huang, Jiawei
    He, Tian
    Huang, Yi
    Wang, Jianxin
    [J]. IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, 2016,
  • [5] A Cross-Layer Flow Schedule with Dynamical Grouping for Avoiding TCP Incast Problem in Data Center Networks
    Tseng, Hsueh-Wen
    Chang, Wan-Chi
    Peng, I-Hsuan
    Chen, Pei-Shan
    [J]. 2016 RESEARCH IN ADAPTIVE AND CONVERGENT SYSTEMS, 2016, : 91 - 96
  • [6] Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer
    Li, Weihe
    Liu, Jingling
    Wang, Shiqi
    Zhang, Tao
    Zou, Shaojun
    Hu, Jinbin
    Jiang, Wanchun
    Huang, Jiawei
    [J]. IEEE ACCESS, 2021, 9 : 38427 - 38456
  • [7] Implementation of Server Consolidation Method on a Data Center by using Virtualization Technique: A Case Study
    Sukmana, Husni Teja
    Ichsani, Yuditha
    Putra, Syopiansyah Jaya
    [J]. 2016 INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTING (ICIC), 2016, : 277 - 282
  • [8] Using Visualization to Support Network and Application Management in a Data Center
    Fisher, Danyel
    Maltz, David A.
    Greenberg, Albert
    Wang, Xiaoyu
    Warncke, Heather
    Robertson, George
    Czerwinski, Mary
    [J]. 2008 IEEE INTERNET NETWORK MANAGEMENT WORKSHOP, 2008, : 37 - 42
  • [9] Benchmarking the Application of Detached Eddy Simulation Techniques in Data Center Server Flow Modelling using Stereoscopic Particle Image Velocimetry
    Alimohammadi, Sajad
    McEvoy, Jaakko
    Delaure, Yan
    Persoons, Tim
    [J]. 2018 24TH INTERNATIONAL WORKSHOP ON THERMAL INVESTIGATIONS OF ICS AND SYSTEMS (THERMINIC), 2018,
  • [10] A Data-Driven Response Virtual Sensor Technique with Partial Vibration Measurements Using Convolutional Neural Network
    Sun, Shan-Bin
    He, Yuan-Yuan
    Zhou, Si-Da
    Yue, Zhen-Jiang
    [J]. SENSORS, 2017, 17 (12)