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Developing messaging and real time processing system for cloud connected cars
Descriptive
TitleInfo
Title
Developing messaging and real time processing system for cloud connected cars
Name
(type = personal)
NamePart
(type = family)
Chantzialexiou
NamePart
(type = given)
Georgios
NamePart
(type = date)
1992-
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Georgios Chantzialexiou
Role
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author
Name
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Striki
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Maria
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Maria Striki
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Advisory Committee
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chair
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Rutgers University
Role
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degree grantor
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School of Graduate Studies
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school
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theses
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2019
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2019-10
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English
Abstract
(type = abstract)
In the recent years, the interest in developing self driving cars, autonomous drones and connected cars skyrockets. That is leading to the need to develop a cloud messaging system with close to real time capabilities that enable vehicles share information to each other in order to help them improve their navigation. Although, there are many popular existing cloud messaging and processing solutions, these engines introduce diverse characteristics and runtime architectures, so there is a need to analyze not only the resources they require but also the execution time they manage to achieve. The complexity of the task, is also affected by execution parameters of the underlying algorithm. The outcome of such analysis will provide us with the means to understand the advantages and disadvantages of every execution engine under specific circumstances, and also let us deploy user policies in cloud environments that relate to the cost and the time restraints of the executions. For this purpose, we must conduct an experimental analysis on those engines through a profiling process, where we will measure the usage of the resources as well as the overall execution time. The results of this process will enable us to construct static predictive models that could simulate the performance of the engines for varying execution parameters.
In this thesis we used Kafka as our distributed messaging system and measured the communication between cars. We choose Kafka instead of other messaging systems due to its reliability, scalability, ease of use, proven success, and popularity across the big data community.
Furthermore, we used Apache Spark as the real-time processing engine. We chose Spark because it is easy to integrate it with Kafka, for its scalability, reliability, ease of use and its popularity. Moreover, the Machine Learning library of Spark is widely used. In order to analyze the suitability of the above system we developed mini applications that simulate real-world scenarios to analyze the performance of the system. We run experiments using different settings and different workloads and measure performance that help us understand the behavior of the system.
In this thesis we used Kafka as our distributed messaging system and measured the communication between cars. We choose Kafka instead of other messaging systems due to its reliability, scalability, ease of use, proven success, and popularity across the big data community.
Furthermore, we used Apache Spark as the real-time processing engine. We chose Spark because it is easy to integrate it with Kafka, for its scalability, reliability, ease of use and its popularity. Moreover, the Machine Learning library of Spark is widely used. In order to analyze the suitability of the above system we developed mini applications that simulate real-world scenarios to analyze the performance of the system. We run experiments using different settings and different workloads and measure performance that help us understand the behavior of the system.
Subject
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Topic
Electrical and Computer Engineering
Subject
(authority = LCSH)
Topic
Automated vehicles -- Design
Subject
(authority = LCSH)
Topic
Intelligent agents (Computer software)
Subject
(authority = LCSH)
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Rutgers University Electronic Theses and Dissertations
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ETD_10356
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text/xml
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1 online resource (vii, 55 pages) : illustrations
Note
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M.S.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
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doi:10.7282/t3-b2j5-6490
Genre
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ETD graduate
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Chantzialexiou
GivenName
Georgios
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2019-09-27 15:20:59
AssociatedEntity
Name
Georgios Chantzialexiou
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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windows xp
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2019-10-10T23:28:53
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2019-10-10T23:28:53
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