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Content-aware planning models for information-centric networking

机译：用于以信息为中心的网络的内容感知计划模型

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Information-Centric Networking (ICN) has recently gained momentum as a promising paradigm for the next-generation Internet architecture. The first prototypes for ICN-capable routers have already been developed, and network operators will soon have the opportunity to experience the advantages introduced by this technology. However, to migrate the devices to this novel architecture, non-negligible investments should be made. Therefore, it is of utter importance to provide clear quantitative insights of the expected economic benefits that operators will experience by switching to the ICN paradigm. For these reasons, in this paper we tackle the content-aware network-planning problem, and we formulate a novel optimization model to study the migration to an ICN, in a budget-constrained scenario. Our formulation takes into account 1) traffic routing and 2) content caching. We further complement our contribution by designing a Randomized Rounding heuristic that scales up to realistic topologies composed of hundreds of nodes.
机译：以信息为中心的网络（ICN）最近已经成为下一代互联网体系结构的有希望的典范。已经开发出了具有ICN功能的路由器的首批原型，网络运营商很快将有机会体验此技术带来的优势。但是，要将设备迁移到这种新颖的体系结构，应进行不可忽略的投资。因此，非常重要的是提供清晰量化的洞察力，以了解运营商通过改用ICN范式将获得的预期经济利益。由于这些原因，在本文中，我们解决了内容感知型网络规划问题，并制定了一种新颖的优化模型，以研究在预算有限的情况下向ICN的迁移。我们的公式考虑了1）流量路由和2）内容缓存。我们通过设计可扩展到由数百个节点组成的实际拓扑的随机舍入启发法，进一步补充了我们的贡献。

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