Deadline Constrained Video Analysis via In-Transit Computational Environments
Deadline Constrained Video Analysis via In-Transit Computational Environments
复制标题
通过传输中计算环境进行截止时间约束的视频分析
DOI：
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发表时间：
2020
影响因子：
8.1
通讯作者：
M. Parashar
中科院分区：
文献类型：
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作者：
A. Zamani;Mengsong Zou;J. Diaz;I. Petri;O. Rana;A. Anjum;M. Parashar
将边缘处理（在数据捕获站点）与在数据从捕获站点到数据中心的途中执行的分析相结合，提供了各种不同的处理模型。这种在途节点包括网络数据中心，其通常用于支持内容分发（提供对数据多播和缓存的支持），但是最近开始通过软件定义网络（SDN）能力提供用户定义的可编程性，例如，OpenFlow和网络功能可视化（NFV）。我们展示了如何将这种多站点计算能力聚合起来，以支持视频分析，并具有服务质量和成本约束（例如，潜伏期界限分析）。SDN技术的使用使得能够将数据路径与控制路径分离，从而使得能够在数据跨网络迁移时支持网内处理能力。我们建议利用SDN能力来获得对数据传输服务的控制，目的是动态地建立数据路由，以便我们可以适时地利用位于沿着网络路径的潜在计算能力。使用许多场景，我们展示了这种方法用于视频分析的优点和局限性，将其与在位于基础设施核心的数据中心进行所有此类分析的基准场景进行比较。
Combining edge processing (at data capture site) with analysis carried out while data is enroute from the capture site to a data center offers a variety of different processing models. Such in-transit nodes include network data centers that have generally been used to support content distribution (providing support for data multicast and caching), but have recently started to offer user-defined programmability, through Software Defined Networks (SDN) capability, e.g., OpenFlow and Network Function Visualization (NFV). We demonstrate how this multi-site computational capability can be aggregated to support video analytics, with Quality of Service and cost constraints (e.g., latency-bound analysis). The use of SDN technology enables separation of the data path from the control path, enabling in-network processing capabilities to be supported as data is migrated across the network. We propose to leverage SDN capability to gain control over the data transport service with the purpose of dynamically establishing data routes such that we can opportunistically exploit the latent computational capabilities located along the network path. Using a number of scenarios, we demonstrate the benefits and limitations of this approach for video analysis, comparing this with the baseline scenario of undertaking all such analysis at a data center located at the core of the infrastructure.
影响因子：
6.5
作者：
Anjum, Ashiq;Abdullah, Tariq;Antonopoulos, Nick
通讯作者：
Antonopoulos, Nick