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Distributed in-network cooperative caching

机译:分布式网络内协作缓存

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Named Data Networking (NDN) featuring in-network caching capability is a large effort that exemplifies information-centric approach to networking by shifting emphasis from hosts to data so as to meet growing demand on content. This work explores a scheme that enables a NDN domain to make full use of its in-network caches to enhance its performance, availability, and reliability. Currently, each NDN router independently determines what contents to cache and is unaware of content cached in nearby routers and thus their caches are not utilized in an efficient way. This paper proposes to have routers in a NDN domain share cached data and coordinate to make caching decisions (which is dubbed in-network cooperative caching) and formulates it into a constrained optimization problem. The Lagrangian relaxation and primal-dual decomposition method is applied to decompose the optimization problem into object placement subproblems and object locating subproblems, each of which can be solved in a distributed manner at each router, such that the in-network cooperative caching is addressed in a distributed way. Our simulation results, although preliminary, suggest that our scheme can benefit users, Internet Service Providers (ISPs) as well as content servers, and the improvement can be as much as 88% compared to current NDN caching policy.
机译:具有网络内缓存功能的命名数据网络(NDN)是一项巨大的工作,它通过将重点从主机转移到数据来满足对内容不断增长的需求,从而体现了以信息为中心的联网方法。这项工作探索了一种方案,该方案使NDN域能够充分利用其网络内缓存来增强其性能,可用性和可靠性。当前,每个NDN路由器独立确定要缓存的内容,并且不知道附近路由器中缓存的内容,因此无法有效利用其缓存。本文提出让NDN域中的路由器共享缓存的数据并进行协调以做出缓存决策(称为网络内协作缓存),并将其表述为约束优化问题。拉格朗日松弛和原始对偶分解方法用于将优化问题分解为对象放置子问题和对象定位子问题,可以在每个路由器上以分布式方式解决每个子问题,从而解决网络内协作缓存问题。分布式的方式。我们的模拟结果虽然是初步的,但表明我们的方案可以使用户,Internet服务提供商(ISP)和内容服务器受益,并且与当前的NDN缓存策略相比,可以提高88%。

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