INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An In this ever changing world of technology IoT (Internet of Things) and cloud services have become a leading benchmark of innovation and optimizing existing services. Internet of things is itself based on the sole idea of transforming every day to day device into a virtual source of information which can derive huge data sets and can help ourselves to advance as a Human race. This concept has indeed impacted the manufacturing and retail industry. Each day huge industries and their technical support team is devising new ways to exploit Internet of things to optimize their production and to minimize operations cost leading to more profits and better wages to the laborers. But if you consider huge number of machines at every local production center churning out KBs of message per second and then these messages are to be processed and transformed to derive live snapshot to managers and support units to take better decision and troubleshoot, then it is sure that the bandwidth and latency would be some of the exclusive parameters to ensure real time delivery and processing of data. In this paper we would looking at some of the technologies and framework which would help us to better utilize the bandwidth of the network in use and minimize the latency at the same time. The aim is to be comparing the methods and derive conclusive evidence on which method is better than the others.
Keywords:
Fragment, Uncertain Traffic Matrix, Storage.
Cite Article:
"IOT as enablers of M2M communication in industries", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.437 - 441, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811078.pdf
Downloads:
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Publication Details:
Published Paper ID: IJSDR1811078
Registration ID:180826
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 437 - 441
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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