Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      Volume 37 Issue 4, 2022   
    Article

    A NEW MODEL PROPOSED FOR SECURE CLUSTER MANAGEMENT IN SOFTWARE DEFINED NETWORKS
    Dr. Harsh Lohiya, Chakali Maddilety
    Journal of Data Acquisition and Processing, 2022, 37 (4): 1123-1129 . 

    Abstract

    Software Defined Networks (SDN) is a new way to build network architecture. It divides networking hardware into a data plane (switches) and a control plane (controllers). HMM, which stands for "Hidden Markov Model," is a new way to handle cluster administration. Because the control plane can be made more scalable, the amount of bandwidth being used is a problem. In software-defined networking (SDN), the Control plane favours a centralised solution in which a single control unit can see the whole network. In large-scale networks, the controls plane is often set up as a cluster of distributed controllers to meet the needs of management and the board. Cluster management technology in SDNs creates a lot of information because it logs and analyses a wide range of events and is needed to give a consistent global view of the health of the network. Cluster management technology is an important part of SDNs because it keeps track of all kinds of events and makes sure the network is always in the same global state. This is why a lot of information is made all the time. Because SDNs can be programmed and change over time, there is still a question about security in the cluster.

    Keyword

    Software Defined Networks , secure cluster management , HMM


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved