Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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BRAC University
2021
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الوصول للمادة أونلاين: | http://hdl.handle.net/10361/15090 |
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10361-150902022-01-26T10:13:15Z Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim Alam, Mohammad Saqibul Jabin, Sadia Jebunnesa Alam, Ajmain Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Fog computing Edge computing IoT Computer Environment This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 27-28). The number of IoT devices around the world is increasing exponentially with the growth of technology. But the resources we have at hand may prove difficult to accommodate all of them. To make efficient use of all the resources, we need to ensure that we get maximum output while decreasing the network congestion. In this paper, we deal with such an IoT device: CCTV. In our digitised world, 24/7 surveillance has become prevalent through the use of CCTVs and the use of CCTVs will only keep growing. To better use the data from the CCTVs, we run it through video processing and analysis to extract the data we need. This computation is done on a local host machine which requires the machine to have high specifications to be able to perform such rigorous tasks. This means that a certain machine is dedicated to a certain number of CCTVs. In our paper, we have decided to introduce fog computing to the scenario. The CCTVs will send the footage to the Fog Servers instead of the local machine, where the necessary processing and analysis will be done and the results will be sent to the local machine. This, not only helps in reducing the cost of execution and total network usage from a traditional setup, allows multiple users to reuse the same computational resources in the fog server. Mohammad Saqibul Alam Sadia Jebunnesa Jabin Ajmain Alam B. Computer Science 2021-10-03T04:38:47Z 2021-10-03T04:38:47Z 2021 2021-06 Thesis http://hdl.handle.net/10361/15090 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. application/pdf BRAC University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Fog computing Edge computing IoT Computer Environment |
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Fog computing Edge computing IoT Computer Environment Alam, Mohammad Saqibul Jabin, Sadia Jebunnesa Alam, Ajmain Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
author2 |
Hossain, Muhammad Iqbal |
author_facet |
Hossain, Muhammad Iqbal Alam, Mohammad Saqibul Jabin, Sadia Jebunnesa Alam, Ajmain |
format |
Thesis |
author |
Alam, Mohammad Saqibul Jabin, Sadia Jebunnesa Alam, Ajmain |
author_sort |
Alam, Mohammad Saqibul |
title |
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
title_short |
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
title_full |
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
title_fullStr |
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
title_full_unstemmed |
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim |
title_sort |
comparative analysis of cloud and fog environment based on network usage and cost of execution using ifogsim |
publisher |
BRAC University |
publishDate |
2021 |
url |
http://hdl.handle.net/10361/15090 |
work_keys_str_mv |
AT alammohammadsaqibul comparativeanalysisofcloudandfogenvironmentbasedonnetworkusageandcostofexecutionusingifogsim AT jabinsadiajebunnesa comparativeanalysisofcloudandfogenvironmentbasedonnetworkusageandcostofexecutionusingifogsim AT alamajmain comparativeanalysisofcloudandfogenvironmentbasedonnetworkusageandcostofexecutionusingifogsim |
_version_ |
1814308069430001664 |