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Cellular data traffic: Analysis, mo...
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Zhou, Xinan.
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Cellular data traffic: Analysis, models, and scenarios.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cellular data traffic: Analysis, models, and scenarios./
Author:
Zhou, Xinan.
Description:
114 p.
Notes:
Adviser: Thomas Kunz.
Contained By:
Masters Abstracts International39-05.
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ57756
ISBN:
0612577562
Cellular data traffic: Analysis, models, and scenarios.
Zhou, Xinan.
Cellular data traffic: Analysis, models, and scenarios.
- 114 p.
Adviser: Thomas Kunz.
Thesis (M.C.S.)--Carleton University (Canada), 2000.
Networks are becoming more and more popular and the traffic over the networks is growing rapidly. Because the network infrastructure is expanding at a quick pace, especially the growth of the Internet, both in size and in the types of applications, the performance issue and dimensioning issue of networks are becoming more critical. It is important to provide a robust and flexible networking environment. To design a system that can deal with these issues well at a reasonable cost, the first step is to characterize the network traffic. In order to get traffic properties that are general it is necessary to study traces of networks in various environments and of different types. A detailed analysis and characterization of network traffic is fundamental to obtain deeper insights into the network system, to fully realize the potential improvements in network performance, and to optimize management of the resources. A lot of work has been done in traffic analysis. The major part is on the Internet traffic. Recently, wireless communication has moved from voice service to data service. Wireless Application Protocol (WAP) makes it possible for commonly used devices such as cell phones, PCs and PDAs to access the Internet. These new wireless data applications produce data that may have different characteristics from those of wired data applications and wireless voice data studied before. In this thesis, we study the data generated by Mobile Browser applications in a cellular network of Bell Mobility in Quebec and Ontario, and compare our results with other results of Internet traffic characterization. We also do some simple performance prediction of the cellular network using Layered Queuing Models (LQM).
ISBN: 0612577562Subjects--Topical Terms:
626642
Computer Science.
Cellular data traffic: Analysis, models, and scenarios.
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Cellular data traffic: Analysis, models, and scenarios.
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114 p.
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Networks are becoming more and more popular and the traffic over the networks is growing rapidly. Because the network infrastructure is expanding at a quick pace, especially the growth of the Internet, both in size and in the types of applications, the performance issue and dimensioning issue of networks are becoming more critical. It is important to provide a robust and flexible networking environment. To design a system that can deal with these issues well at a reasonable cost, the first step is to characterize the network traffic. In order to get traffic properties that are general it is necessary to study traces of networks in various environments and of different types. A detailed analysis and characterization of network traffic is fundamental to obtain deeper insights into the network system, to fully realize the potential improvements in network performance, and to optimize management of the resources. A lot of work has been done in traffic analysis. The major part is on the Internet traffic. Recently, wireless communication has moved from voice service to data service. Wireless Application Protocol (WAP) makes it possible for commonly used devices such as cell phones, PCs and PDAs to access the Internet. These new wireless data applications produce data that may have different characteristics from those of wired data applications and wireless voice data studied before. In this thesis, we study the data generated by Mobile Browser applications in a cellular network of Bell Mobility in Quebec and Ontario, and compare our results with other results of Internet traffic characterization. We also do some simple performance prediction of the cellular network using Layered Queuing Models (LQM).
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ57756
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