Effect of Load Balancer on Software-Defined Networking (SDN) based Cloud

被引:14
|
作者
Sharma, Rinki [1 ]
Reddy, Harshavardhan [2 ]
机构
[1] Ramaiah Univ Appl Sci, Dept Comp Sci & Engn, Bengaluru, India
[2] Tejas Networks Ltd, Bengaluru, India
关键词
Cloud; Load balancer; Software-Defined Networking; SDN; Network Service Virtualization; Open vSwitch; OpenStack; OpenDaylight;
D O I
10.1109/indicon47234.2019.9030327
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recent years have seen a tremendous rise in communication and computing devices, and related applications. With this, the need for bandwidth, storage, and computing power has grown exponentially. Many present-day networks have moved towards the cloud for better scalability and to reduce infrastructure cost. Virtualization of network services offers benefits such as multi-tenancy and better asset utilization. However, management and maintenance of clouds and data centers using traditional networking techniques is becoming expensive and complex. Hence, traditional networking is being replaced with software-defined networking (SDN) as it eliminates manual configuration of individual switches, routers, and other network hardware. Integration of SDN with cloud provides better scalability and manageability. The work presented in this paper integrates cloud infrastructure with SDN. Network services such as load balancer and web server are implemented on the cloud. The round-robin job scheduling mechanism is used at the load balancer to allocate the jobs to the web servers. Time taken to process the requests with and without load balancer is analyzed. The obtained results help in understanding the advantages and disadvantages of using load balancers in the developed system.
引用
收藏
页数:4
相关论文
共 50 条
  • [32] Fuzzy Logic Load-Balancing Strategy Based on Software-Defined Networking
    Li, Guoyan
    Gao, Tianying
    Zhang, Zhigang
    Chen, Yadong
    [J]. WIRELESS INTERNET (WICON 2017), 2018, 230 : 471 - 482
  • [33] A REVIEW ON SOFTWARE-DEFINED NETWORKING ENABLED IOT CLOUD COMPUTING
    Badotra, Sumit
    Panda, Surya Narayan
    [J]. IIUM ENGINEERING JOURNAL, 2019, 20 (02): : 105 - 126
  • [34] Controller load optimization strategies in Software-Defined Networking: A survey
    Liu, Yong
    Ge, Yuanhang
    Meng, Qian
    Liu, Quanze
    [J]. Journal of Network and Computer Applications, 2025, 233
  • [35] Dynamic Load-Balancing Mechanism for Software-Defined Networking
    Liao, Wen-Hwa
    Kuai, Ssu-Chi
    Lu, Cheng-Hsiu
    [J]. Proceedings 2016 International Conference on Networking and Network Applications NaNA 2016, 2016, : 336 - 341
  • [36] Misreporting Attacks Against Load Balancers in Software-Defined Networking
    Burke, Quinn
    McDaniel, Patrick
    La Porta, Thomas
    Yu, Mingli
    He, Ting
    [J]. MOBILE NETWORKS & APPLICATIONS, 2023, 28 (04): : 1482 - 1497
  • [37] Extensive Literature Survey on Load Balancing in Software-Defined Networking
    Darade, Santosh Ashokrao
    Akkalakshmi, M.
    [J]. INTERNATIONAL JOURNAL OF BUSINESS DATA COMMUNICATIONS AND NETWORKING, 2020, 16 (02) : 1 - 19
  • [38] On Load Balancing via Switch Migration in Software-Defined Networking
    Al-Tam, F.
    Correia, N.
    [J]. IEEE ACCESS, 2019, 7 : 95998 - 96010
  • [39] A Systematic Review of Load Balancing Techniques in Software-Defined Networking
    Belgaum, Mohammad Riyaz
    Musa, Shahrulniza
    Alam, Muhammad Mansoor
    Su'ud, Mazliham Mohd
    [J]. IEEE ACCESS, 2020, 8 : 98612 - 98636
  • [40] MCAD: A Machine Learning Based Cyberattacks Detector in Software-Defined Networking (SDN) for Healthcare Systems
    Halman, Laila M.
    Alenazi, Mohammed J. F.
    [J]. IEEE ACCESS, 2023, 11 : 37052 - 37067