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ISSN 1004-9037
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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
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      Volume 37 Issue 5, 2022   
    Article

    A NOVAL APPROACH TO IDENTIFYING PARAMETERS AFFECTING NETWORK CONGESTION IN THE CLOUD
    Mr. Amarjeet Singh1, Prof. (Dr.) Vijay Dhir2
    Journal of Data Acquisition and Processing, 2022, 37 (5): 2135-2154 . 

    Abstract

    In this paper, the proposed approach is based Videos are kind of heavy data that can be transmitted over the network and stored within the cloud. Cloud allows storage on pay per use basis. Videos will be streamed by concerting it into packets and transmitted in sequence. The load on virtual machine increases due to heavy transmission of these packets that can cause deteriorating virtual machines within cloud. To tackle the issue, novel approach of threshold and capacity driven sliding window protocol for cloud is proposed. The window size will be adjusted by broker based upon the capacity of the virtual machines. In case virtual capacity is decreased, window size is also decreased. This case equal distribution of load over the virtual machines. No increase in load will be allowed past the capacity of virtual machines. Overall UDP, driven approach will increase the fault tolerance capability and decreased the overall cost of operation. Existing sliding window protocol causes the window adjustment for traffic control. The sliding window depends upon the number of packets transmitted. The capacity of the receivers will play a critical role in this case. This will cause the packet drops in case receiver capacity is decreased. The primary reason for the same is reduce battery life of sensors. To avoid this situation, synchronized mechanisms with time division multiplexing is used along with sliding window for managing the traffic.

    Keyword

    Data Packets, Sliding Wndow, Video Streaming, Cloud.


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ISSN 1004-9037

         

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