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Title:
a queueing theory based approach to qos-driven adaptation for service discovery over manets
Author: Wen Yuanfeng ; Jin Beihong ; Li Keqin ; Cheng Albert M.K. ; Fang Wenjing
Source: Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
Conference Name: 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
Conference Date: December 5, 2012 - December 7, 2012
Issued Date: 2012
Conference Place: Paphos, Cyprus
Keyword: Adaptive algorithms ; Asymptotic analysis ; Mobile ad hoc networks ; Quality of service ; Queueing theory ; Systems analysis ; Ubiquitous computing
Indexed Type: EI
ISBN: 9780769549149
Department: (1) Department of Computer Science University of Houston Houston TX 77004 United States; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (3) Department of Computer Science State University of New York New Paltz NY 12561 United States
Sponsorship: IEEE Comput. Soc. Tech. Comm. Scalable Comput. (TCSC); University of Cyprus; IEEE; IEEE Computer Society
Abstract: Volatility and uncertainty characterizing mobile ad hoc networks (MANETs) demand that an efficient mechanism to discover currently available services in a MANET should be provided. Consequently, many service discovery systems over MANETs have been developed. However, most of them lack theoretical modeling and analysis, as well as the leveraging of the theoretical model for optimizing system design and improving quality of service (QoS). Aiming at our service discovery system SCN4M, this paper develops an M/M+/1 model for service discovery on MANET nodes. This model is first applied to predict system behaviors such as system throughput. Then, the model is applied to find the value of a control variable. If the calculated value is set at runtime, the system will provide the optimal QoS. Furthermore, the model is used for optimizing a system's adaptive mechanism so that the system can achieve the optimal QoS no matter what kind of environmental change occurs. Experiments are also conducted to verify the model and its applications. Our approach indicates that the queueing theory model can be seamlessly combined into system design to improve system performance. © 2012 IEEE.
English Abstract: Volatility and uncertainty characterizing mobile ad hoc networks (MANETs) demand that an efficient mechanism to discover currently available services in a MANET should be provided. Consequently, many service discovery systems over MANETs have been developed. However, most of them lack theoretical modeling and analysis, as well as the leveraging of the theoretical model for optimizing system design and improving quality of service (QoS). Aiming at our service discovery system SCN4M, this paper develops an M/M+/1 model for service discovery on MANET nodes. This model is first applied to predict system behaviors such as system throughput. Then, the model is applied to find the value of a control variable. If the calculated value is set at runtime, the system will provide the optimal QoS. Furthermore, the model is used for optimizing a system's adaptive mechanism so that the system can achieve the optimal QoS no matter what kind of environmental change occurs. Experiments are also conducted to verify the model and its applications. Our approach indicates that the queueing theory model can be seamlessly combined into system design to improve system performance. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15912
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Wen Yuanfeng,Jin Beihong,Li Keqin,et al. a queueing theory based approach to qos-driven adaptation for service discovery over manets[C]. 见:15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012. Paphos, Cyprus. December 5, 2012 - December 7, 2012.
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