内容中心网络中的提供商移动性——问题和挑战

Q4 Business, Management and Accounting
Shanti Chilukuri, K. Chilukuri, S. Korla
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引用次数: 0

摘要

随着互联网上存储和检索的数据量的增加,支持大数据量的新架构变得必要。PARC的以内容为中心的网络(CCN)体系结构是一种以信息为中心的体系结构,其重点是要检索的内容,而不是必须从其中检索内容的地址。CCN中的数据对象被分配分层名称,数据请求基于最长前缀匹配进行路由。虽然CCN提供了主机地址的自由,并通过使用网络内缓存提高了数据检索速度,但内容提供者的移动性是一个很大的挑战。鉴于移动节点数量和数据量的快速增长,我们分析了CCN中与提供商移动性相关的问题。然后,我们将探讨解决这些问题的现有解决方案,并比较它们的性能。最后,我们讨论了支持CCN中提供商移动性的开放问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Provider mobility in content centric networks - issues and challenges
As the amount of data stored and retrieved in the internet increases, newer architectures that support high volumes of data become necessary. Content centric networking (CCN) architecture by PARC is an information centric architecture that focuses on the content to be retrieved, rather than the address from which it has to be retrieved. Data objects in CCN are assigned hierarchical names and requests for data are routed based on longest prefix matching. While CCN offers freedom from host addresses and improves data retrieval speeds by using in-network caching, mobility of content providers is a big challenge. In view of the rapidly growing number of mobile nodes and volume of data, we analyse the problems associated with provider mobility in CCN. We then explore the existing solutions to address these problems and compare their performance. Lastly, we discuss open issues in supporting provider mobility in CCN.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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