L. V. Yovita, N. Syambas, Ian Yosef Matheus Edward
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Because content store has limited capacity, it's important to find a caching strategy to improve the performance of NDN networks. In the previous study, the CAPIC caching technique (Caching based on Popularity and Class ) has been proposed which determines treatment for each service class, but the research is only limited to the fixed network. Meanwhile, user with mobility characteristic will become the majority in the network. The character of the mobile network is very different from the fixed network. Routers that have previously stored the data in the content store cannot always be used, because these routers sometimes can be out of network coverage. In this research, the previous CAPIC that only work in the fixed environment is modified to be able to used in the mobile network. This research is conduct to analyze the CAPIC performance in the mobile environment for various conditions. 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引用次数: 2
摘要
命名数据网络(Named Data Network, NDN)是一种基于内容的网络,由于其数据通信机制在大型网络环境中更为高效,因此被提出将取代IP网络。内容分发网络(Content Distribution network, CDN)实际上已经尝试解决这个IP网络的流量负载问题。但是,由于CDN是一个仍然基于IP的网络,因此每个请求将被定位到特定的服务器地址。此外,消费者的不断变化导致CDN无法克服内容的动态变化,而消费者的需求也会经常改变方向。NDN将像IP网络那样以主机为中心转变为以内容为中心。NDN中的一个重要组件是用于数据缓存的内容存储。由于内容存储的容量有限,因此找到一种缓存策略来提高NDN网络的性能非常重要。在以往的研究中,已经提出了CAPIC缓存技术(caching based on Popularity and Class)来确定每个服务类别的处理方式,但研究仅限于固定网络。同时,具有移动性特征的用户将成为网络中的主体。移动网络的特点与固定网络有很大的不同。不能总是使用以前在内容存储中存储数据的路由器,因为这些路由器有时可能不在网络覆盖范围内。在本研究中,对以往只能在固定环境下工作的CAPIC进行了改进,使其能够在移动网络中使用。本研究是为了分析CAPIC在不同条件下在移动环境下的性能。测试结果表明,CAPIC提供了比共享缓存方案更高的网络缓存命中率,约为3%,与共享方案相比,第一个服务类性能最高达到10%。CAPIC还为具有较小请求率的内容服务类提供了更好的路径扩展。
Cache based on Popularity and Class in Mobile Named Data Network
The Named Data Network (NDN) has been proposed as a content-based network that will be replace IP networks because the data communication mechanism is more efficient in large network environments. The problem of traffic load on this IP network has actually been tried to be solved with Content Distribution Network (CDN). However, because CDN is a network that is still based on IP, each request will be addressed to a particular server address. In addition, consumer that always moving causes CDN to not be able to overcome dynamic content changes, while consumer demand will often change direction. NDN shift the host-centric, as in IP network, become content-centric. One important component in NDN is the content storage used for data caching. Because content store has limited capacity, it's important to find a caching strategy to improve the performance of NDN networks. In the previous study, the CAPIC caching technique (Caching based on Popularity and Class ) has been proposed which determines treatment for each service class, but the research is only limited to the fixed network. Meanwhile, user with mobility characteristic will become the majority in the network. The character of the mobile network is very different from the fixed network. Routers that have previously stored the data in the content store cannot always be used, because these routers sometimes can be out of network coverage. In this research, the previous CAPIC that only work in the fixed environment is modified to be able to used in the mobile network. This research is conduct to analyze the CAPIC performance in the mobile environment for various conditions. The test results showed CAPIC provided a greater network cache hit ratio than the sharing caching scheme of around 3%, with the first service class performance reaching a maximum 10% compare to sharing scheme. CAPIC also provides a better path stretch for content service classes with a smaller request rate.