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Trust-Based Parked Vehichular Fog For Catering Applications In 5G / (Record no. 23415)

MARC details
000 -LEADER
fixed length control field 04705nam a2200265 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250512t2021 |||ad||g m||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency Universiti Teknologi Brunei
Language of cataloging eng
Transcribing agency UTB
084 ## - BOOK Call Number
Classification number UTB 120 REPORT THESIS & DISSERTATION
-- RTDS 359
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dyg Fatin Hamadah Bt Hj Awg Md Abdul Rahman,
Relator term author.
245 10 - TITLE STATEMENT
Title Trust-Based Parked Vehichular Fog For Catering Applications In 5G /
Statement of responsibility, etc. Dyg Fatin Hamadah Bt Hj Awg Md Abdul Rahman.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bandar Seri Begawan :
Name of publisher, distributor, etc. Universiti Teknologi Brunei,
Date of publication, distribution, etc. ©2021.
300 ## - PHYSICAL DESCRIPTION
Extent 152 pages :
Other physical details color illustrations, charts ;
Dimensions 30 cm.
500 ## - GENERAL NOTE
General note Submitted in fulfillment of the requirements for the degree of Doctor of Philosophy in the Computer Network & Security School of Computing and Infromatics Universiti Teknologi Brunei.
500 ## - GENERAL NOTE
General note ABSTRACT<br/>The rise of 5G is envisioned to support applications with stringent latency such as virtual reality and autonomous vehicles. It is achievable with the help of fog computing as fog computing facilities are placed much closer to the end users. This results in reduced network band-width consumption as processes are being done locally, ultimately with low response time. Vehicles' capabilities are technologically advancing in terms of computation, networking and storage, however they are parked 96% of the time. This implies that the vehicles abundant resources can be a good source of computation in fog computing, with the existence and improved capability of vehicles' on-board units. The parked vehicles can be logically and physically clustered together to further enhance their computation capabilities and to ease the overall resource management. Although the vehicles are becoming highly connected, they are distributed and mobile in nature. Additionally, vehicles in general are heterogeneous such that they are made from different manufacturers and might have different platforms and security mechanisms. Vehicles have varying parking time which implies that they are dynamic and tempo- rary, resulting in the unpredictable behavior of the vehicles. Hence trust is needed to ensure seamless collaboration in the fog-based 5G environment. Trust is defined as the expectation that a device or system will faithfully behave in a particular manner to fulfill its intended purpose, and inevitably trust becomes a necessity in this diverse fog environment and is increasingly being used as part of decision making mechanisms.<br/>There are numerous studies that have incorporated trust in vehicular networks involving fog computing where various metrics such as velocity, speed and direction are being used for trust evaluation. However, these metrics are not applicable in the parked vehicle scenario. Furthermore, no such study with regards to trust evaluation has been conducted in the parked vehicular fog. Thus, it is important to study the importance and application of trust in parked vehicle fog environment. In this the- sis, a framework for evaluating the trust of parked vehicle fog comput- ing facilities is proposed. The proposed framework forms a clustering concept based on trust value, where a physical vehicle cluster is subdivided into multiple logical trust clusters to allow tasks from end users to be distributed among the vehicular fogs. The framework comprises of a trust-based task scheduling algorithm which aims to improve the parked vehicle utilization and reduce task drop when there are client-generated tasks to be processed. Results demonstrate that the proposed framework is able to increase v-fog resource utilization and reduces percentage of task drop noticeably.<br/>Additionally, the framework aims to cater to the latency requirement of applications in 5G. Realizing the benefits that virtualization technology can offer to the vehicle-based fog computing facilities, this thesis also studies the implication of trust-based allocation of virtual machines in vehicles. The proposed framework named EnTruVe is enhanced further where the results demonstrate that EnTruVe obtains the least number of VM migrations, it is the most energy efficient and has the highest utilization of v-fogs in comparison to other solutions
502 ## - Dissertation Note
Dissertation Note Doctorial Thesis (Degree) -Universiti Teknologi Brunei
504 ## - Bibliography, Etc. Note
Bibliography, Etc. Note Includes bibiliography (page 128-152)
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Form subdivision Doctorial Thesis.
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Thesis writing.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fog computing.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Trust management (Computer security).
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Vehicular ad hoc networks.
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
Subordinate unit School of Computing and Informatics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Local Classification
Koha item type Reports, Thesis & Dissertation Students
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Internal field Reports, Thesis & Dissertation
CC (RLIN) 850408 : 002195 c.1_UTB
Internal field Universiti Teknologi Brunei
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Public note
    Local Classification Not damaged   Universiti Teknologi Brunei Library Universiti Teknologi Brunei Library - at level 2 12/05/2025 Universiti Teknologi Brunei   UTB 120 REPORT THESIS & DISSERTATION, RTDS 359 850408 12/05/2025 1 12/05/2025 Reports, Thesis & Dissertation Students Reg. No. 002195_UTB [RTDS 359]

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