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Modeling, analysis, and optimization...
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Hong, Jung Ha.
Modeling, analysis, and optimization of aggregation systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling, analysis, and optimization of aggregation systems.
作者:
Hong, Jung Ha.
面頁冊數:
103 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2489.
附註:
Adviser: Khosrow Sohraby.
Contained By:
Dissertation Abstracts International71-04B.
標題:
Engineering, Computer.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3405312
ISBN:
9781109706680
Modeling, analysis, and optimization of aggregation systems.
Hong, Jung Ha.
Modeling, analysis, and optimization of aggregation systems.
- 103 p.
Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2489.
Thesis (Ph.D.)--University of Missouri - Kansas City, 2010.
In packet communication systems, a header is attached to the transmitted packet at each layer. The overhead due to the transmission of the individual header can have a significant impact on the performance of the communication system especially when the system operates in heavy load. In order to increase data throughput, a number of packets sharing a single header can be aggregated into a frame.
ISBN: 9781109706680Subjects--Topical Terms:
384375
Engineering, Computer.
Modeling, analysis, and optimization of aggregation systems.
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In packet communication systems, a header is attached to the transmitted packet at each layer. The overhead due to the transmission of the individual header can have a significant impact on the performance of the communication system especially when the system operates in heavy load. In order to increase data throughput, a number of packets sharing a single header can be aggregated into a frame.
520
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In this dissertation, we present a mathematical model for a packet aggregation system assuming a general distribution for the packet length. For a given header size, we obtain the minimum system utilization where packet aggregation improves the system performance. We also analyze the asymptotic behavior of such systems leading to a simple heuristic policy on the optimum aggregation level. It is shown that the impact of the variability of the packet length distribution on different system performance measures is rather insignificant when the system load is low or moderate.
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In many applications, it would be necessary or desirable to group together a number of demands before it is worthwhile to allocate system resources to serve them.
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In the second part of this dissertation, we propose to use a threshold-based timer which dynamically controls the size of the batches and their release times. A complete characterization and a clear understanding of the stochastic characteristics of the tinier behavior and its departure processes are presented. Such processes are inherently "friendlier" than their classical counterparts due to the positive correlation between the size of the released batches and the time interval between them. In traditional batch arrival models, such a dependency is absent. We examine the departure process of the timer by analyzing its queue response and the peakedness.
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