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首页> 外文期刊>Services Computing, IEEE Transactions on >Deadline Constrained Video Analysis via In-Transit Computational Environments
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Deadline Constrained Video Analysis via In-Transit Computational Environments

机译：在途计算环境下的截止时间受限视频分析

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摘要

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.
机译：将数据从捕获站点传输到数据中心的过程中，将边缘处理（在数据捕获站点）与进行的分析相结合，可提供多种不同的处理模型。这样的传输中节点包括通常用于支持内容分发（提供对数据多播和缓存的支持）但最近已开始通过软件定义网络（SDN）功能提供用户定义的可编程性的网络数据中心，例如OpenFlow和网络功能可视化（NFV）。我们演示了如何通过服务质量和成本约束（例如，延迟限制分析）来聚合这种多站点计算功能，以支持视频分析。 SDN技术的使用使数据路径与控制路径分离，从而在数据跨网络迁移时支持网络内处理功能。我们建议利用SDN功能来获得对数据传输服务的控制，以动态建立数据路由，以便我们可以趁机利用沿网络路径定位的潜在计算功能。通过使用多种方案，我们演示了此方法用于视频分析的优点和局限性，并将其与在基础结构核心的数据中心进行所有此类分析的基准方案进行了比较。

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