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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 4, 2022   
    Article

    ANALYSIS OF CLOUD COMPUTING IN THE INTEGRATION OF NETWORK VIRTUALIZATION OVER ELASTIC OPTICAL NETWORKS: ALLOCATING ALGORITHMS
    Nagul Meera Sayyed and Dr. Pramod Pandurang Jadhav
    Journal of Data Acquisition and Processing, 2022, 37 (4): 2573-2589 . 

    Abstract

    Internet applications that are currently being developed are gradually becoming network-based and of high performance, dependent on cloud computing operations and optical networks. The flexibility and efficiency of the optical network backbone that supports these applications, as well as the most current developments to the cloud computing architecture [i.e., server farms (DCs)], becoming more and more crucial due to the speed at which these applications are evolving. In the new long stretches of data blast across industry and the scholarly community, newline resulted in difficulties of getting, putting away, making due, booked handling, newline analyzing of the information and deciphering the data out of it. Most recent newline technological upgrades like Cloud Computing, Distributed File System, newline Parallel computing and In-Memory advancements address the difficulties which enormous newline data has gotten. In view of the previously mentioned advancements, this exploration newline presents work process planning for cloud computing climate. The high level newline development in virtualization advances and cloud computing serve the way for newline distributing computing assets for existing asset pools in light of interest and newline scientific computing.

    Keyword

    Optical Networks, Network Virtualization, Elastic Optical, cloud computing


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ISSN 1004-9037

         

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