Preliminary study on the connotation of flexibility in dynamically reconfigurable networks

From the microscopic and quantitative viewpoints,the connotation of the structural flexibility of reconfigurable networks was explored.More accurately,a key feature,i.e.,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant i...

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Main Authors: Dong-nian CHENG, Bin-qiang WANG, Bao-jin WANG, Jian-hui ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0214-09/
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author Dong-nian CHENG
Bin-qiang WANG
Bao-jin WANG
Jian-hui ZHANG
author_facet Dong-nian CHENG
Bin-qiang WANG
Bao-jin WANG
Jian-hui ZHANG
author_sort Dong-nian CHENG
collection DOAJ
description From the microscopic and quantitative viewpoints,the connotation of the structural flexibility of reconfigurable networks was explored.More accurately,a key feature,i.e.,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant implications of the flexibility were then revealed as gradually mapping to demands,keeping global performance good,implicit isolation,and self-driven control.Finally,related quantitative models and methods for both determining the stable deviation of outcomes from demands and computing the volume of resource dynamically reconfigured were investigated by using the exponentially moving average,the n:m voting scheme,Markov decision processes (MDP) and reinforcement learning,respectively.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2012-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9c22449960a64ff0922efab4734a95342025-01-14T06:32:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-08-013321422259665245Preliminary study on the connotation of flexibility in dynamically reconfigurable networksDong-nian CHENGBin-qiang WANGBao-jin WANGJian-hui ZHANGFrom the microscopic and quantitative viewpoints,the connotation of the structural flexibility of reconfigurable networks was explored.More accurately,a key feature,i.e.,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant implications of the flexibility were then revealed as gradually mapping to demands,keeping global performance good,implicit isolation,and self-driven control.Finally,related quantitative models and methods for both determining the stable deviation of outcomes from demands and computing the volume of resource dynamically reconfigured were investigated by using the exponentially moving average,the n:m voting scheme,Markov decision processes (MDP) and reinforcement learning,respectively.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0214-09/network architecturereconfigurable networkflexibilityMarkov decision processreinforcement learning
spellingShingle Dong-nian CHENG
Bin-qiang WANG
Bao-jin WANG
Jian-hui ZHANG
Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
Tongxin xuebao
network architecture
reconfigurable network
flexibility
Markov decision process
reinforcement learning
title Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
title_full Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
title_fullStr Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
title_full_unstemmed Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
title_short Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
title_sort preliminary study on the connotation of flexibility in dynamically reconfigurable networks
topic network architecture
reconfigurable network
flexibility
Markov decision process
reinforcement learning
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0214-09/
work_keys_str_mv AT dongniancheng preliminarystudyontheconnotationofflexibilityindynamicallyreconfigurablenetworks
AT binqiangwang preliminarystudyontheconnotationofflexibilityindynamicallyreconfigurablenetworks
AT baojinwang preliminarystudyontheconnotationofflexibilityindynamicallyreconfigurablenetworks
AT jianhuizhang preliminarystudyontheconnotationofflexibilityindynamicallyreconfigurablenetworks