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基于活躍度的分級(jí)映射解析系統(tǒng)

伊鵬,  王鵬,  申涓,  張校輝,  蘭巨龍

伊鵬, 王鵬, 申涓, 張校輝, 蘭巨龍. 基于活躍度的分級(jí)映射解析系統(tǒng)[J]. 電子與信息學(xué)報(bào), 2017, 39(4): 832-839. doi: 10.11999/JEIT160526
引用本文: 伊鵬, 王鵬, 申涓, 張校輝, 蘭巨龍. 基于活躍度的分級(jí)映射解析系統(tǒng)[J]. 電子與信息學(xué)報(bào), 2017, 39(4): 832-839. doi: 10.11999/JEIT160526
YI Peng, WANG Peng, SHEN Juan, ZHANG Xiaohui, LAN Julong. A Hierarchical Mapping Resolution System Based on Active Degree[J]. Journal of Electronics & Information Technology, 2017, 39(4): 832-839. doi: 10.11999/JEIT160526
Citation: YI Peng, WANG Peng, SHEN Juan, ZHANG Xiaohui, LAN Julong. A Hierarchical Mapping Resolution System Based on Active Degree[J]. Journal of Electronics & Information Technology, 2017, 39(4): 832-839. doi: 10.11999/JEIT160526

基于活躍度的分級(jí)映射解析系統(tǒng)

doi: 10.11999/JEIT160526 cstr: 32379.14.JEIT160526
基金項(xiàng)目: 

國(guó)家863計(jì)劃項(xiàng)目(2015AA016102)，國(guó)家自然科學(xué)基金創(chuàng)新研究群體科學(xué)基金(61521003)

A Hierarchical Mapping Resolution System Based on Active Degree

Funds: 

The National 863 Program of China (2015AA- 016102), The National Natural Science Foundation of China (61521003)

  • 摘要: 針對(duì)當(dāng)前映射解析系統(tǒng)存在的映射解析時(shí)延過(guò)高的問(wèn)題，該文依據(jù)終端的活躍程度，提出一種基于活躍度的分級(jí)映射解析系統(tǒng)。該系統(tǒng)將通信對(duì)端的身份位置映射信息劃分為活躍級(jí)、中性級(jí)和穩(wěn)定級(jí)3個(gè)等級(jí)，并據(jù)此建立了一種3層的映射解析存儲(chǔ)架構(gòu)，映射副本可根據(jù)自身活躍度的變化在3層之間動(dòng)態(tài)調(diào)整存儲(chǔ)位置。為最小化映射解析時(shí)延，在系統(tǒng)構(gòu)建過(guò)程中，針對(duì)傳統(tǒng)DHT構(gòu)建方式存在的非位置感知問(wèn)題，將系統(tǒng)構(gòu)建過(guò)程建模為馬爾科夫決策過(guò)程，并提出一種馬爾科夫決策構(gòu)建算法用于求解該模型。仿真結(jié)果表明，該系統(tǒng)能夠顯著降低映射解析時(shí)延和提升路由性能，對(duì)網(wǎng)絡(luò)結(jié)構(gòu)的動(dòng)態(tài)變化具有良好的適應(yīng)性。
    Abstract: To deal with the high resolution latencies in current existing mapping system, a hierarchical mapping system is proposed based on active degree. In the system, the mappings between the identifiers and locators are divided into three levels: active level, neutral level, and constant level. Based on these, a three tiers system architecture for mapping entries storing and resolving is designed. Stored mapping entries in different levels vary with the different active degrees of the remote communication terminal，and flow from one level to another. In order to minimize the mapping resolution latency, the construction model is proposed, which models the system construction process as a Markov Decision Process (MDP). Moreover, a Markov decision construction algorithm is proposed, which improves reinforcement learning to get the global optimal or near-optimal construction strategy. The simulation results show that the system has low resolve latency and good adaptability for network topology dynamic changes.
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出版歷程
  • 收稿日期:  2016-05-23
  • 修回日期:  2016-12-29
  • 刊出日期:  2017-04-19

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