Full metadata
Title
Analytical approach to dynamic bandwidth allocation algorithms used in LRPON
Description
With internet traffic being bursty in nature, Dynamic Bandwidth Allocation(DBA) Algorithms have always been very important for any broadband access network to utilize the available bandwidth effciently. It is no different for Passive Optical Networks(PON), which are networks based on fiber optics in the physical layer of TCP/IP stack or OSI model, which in turn increases the bandwidth in the upper layers. The work in this thesis covers general description of basic DBA Schemes and mathematical derivations that have been established in research. We introduce a Novel Survey Topology that classifes DBA schemes based on their functionality. The novel perspective of classification will be useful in determining which scheme will best suit consumer's needs. We classify DBA as Direct, Intelligent and Predictive back on its computation method and we are able to qualitatively describe their delay and throughput bounds. Also we describe a recently developed DBA Scheme, Multi-thread polling(MTP) used in LRPON and describes the different viewpoints and issues and consequently introduce a novel technique Parallel Polling that overcomes most of issues faced in MTP and that promises better delay performance for LRPON.
Date Created
2012
Contributors
- Mercian, Anu (Author)
- Reisslein, Martin (Thesis advisor)
- McGarry, Michael (Committee member)
- Tepedelenlioğlu, Cihan (Committee member)
- Zhang, Yanchao (Committee member)
- Arizona State University (Publisher)
Resource Type
Extent
viii, 53 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.15083
Statement of Responsibility
by Anu Mercian
Description Source
Viewed on May 2, 2013
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2012
bibliography
Includes bibliographical references (p. 52-53)
Field of study: Electrical engineering
System Created
- 2012-08-24 06:29:11
System Modified
- 2021-08-30 01:45:44
- 3 years 3 months ago
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