Show simple item record

dc.contributor.advisorHossain, Muhammad Iqbal
dc.contributor.authorAlam, Mohammad Saqibul
dc.contributor.authorJabin, Sadia Jebunnesa
dc.contributor.authorAlam, Ajmain
dc.date.accessioned2021-10-03T04:38:47Z
dc.date.available2021-10-03T04:38:47Z
dc.date.copyright2021
dc.date.issued2021-06
dc.identifier.urihttp://hdl.handle.net/10361/15090
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 27-28).
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityMohammad Saqibul Alam
dc.description.statementofresponsibilitySadia Jebunnesa Jabin
dc.description.statementofresponsibilityAjmain Alam
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac 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.
dc.subjectFog computingen_US
dc.subjectEdge computingen_US
dc.subjectIoTen_US
dc.subject.lcshComputer
dc.subject.lcshEnvironment
dc.titleComparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsimen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record