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Flow processing-aware controller placement in wireless DenseNets

机译:无线DenseNets中可识别流程处理的控制器

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The traffic demand in wireless access networks has grown substantially in recent years and is expected to continue doing so, both in terms of total volume and data rate required by individual users. To overcome the current limitations of wireless access networks, operators already push for very dense and heterogeneous wireless networks, commonly known as DenseNets. Efficiently controlling DenseNets is a task for current research, as simply scaling existing networks by orders of magnitude brings along several problems, e.g. increased energy consumption and the explosion of signaling. Further, new innovations such as Network Functions Virtualization (NFV) which target the operation expenses for networks with a large variety of proprietary hardware appliances, reveal that data flow processing should not be neglected in this research domain. Software-Defined Networking (SDN), which separates the control plane and the data forwarding plane, has been identified as a promising approach for an efficient control of DenseNets. However, the controllers of classic SDN approaches are confined to the routing of data flows, while the support of sophisticated processing mechanisms, e.g. NFV or Coordinated Multi-Point transmission (CoMP), is not considered. Data flow processing imposes many requirements on data rate, latency and processing capacity. Hence, an adequate allocation of the locations for data processing in a network is a challenging task and crucial for network performance. In this paper we propose our flow processing-aware controller placement framework that takes into account data flow processing and control applications, both enhancing the SDN architecture specifically for DenseNets.
机译:近年来,无线访问网络中的流量需求已经有了实质性的增长,并且无论是单个用户所需的总容量还是数据速率,都有望继续增长。为了克服当前无线接入网络的局限性,运营商已经在推动非常密集和异构的无线网络,通常称为DenseNets。有效地控制DenseNets是当前研究的任务,因为简单地按数量级扩展现有网络会带来一些问题,例如能耗增加和信号爆炸。此外,针对网络功能虚拟化(NFV)的新创新(针对具有多种专有硬件设备的网络的运营费用)表明,在此研究领域中不应忽略数据流处理。将控制平面和数据转发平面分开的软件定义网络(SDN)已被认为是有效控制DenseNets的一种有前途的方法。但是,经典SDN方法的控制器仅限于数据流的路由,同时支持复杂的处理机制,例如数据流。不考虑NFV或协调多点传输(CoMP)。数据流处理对数据速率,延迟和处理能力提出了许多要求。因此,为网络中的数据处理适当分配位置是一项艰巨的任务,对网络性能至关重要。在本文中,我们提出了一种支持流处理的控制器放置框架,该框架考虑了数据流处理和控制应用程序,两者都增强了专门用于DenseNets的SDN架构。

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