Frontier: Resilient Edge Processing for the Internet of Things
Frontier: Resilient Edge Processing for the Internet of Things
复制标题
前沿：物联网的弹性边缘处理
DOI：
10.14778/3231751.3231767
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
P. Pietzuch
中科院分区：
文献类型：
--
作者：
Dan O'Keeffe;Theodoros Salonidis;P. Pietzuch
在
边缘
部署模型，图像互联网（IoT）应用程序，例如用于构建自动化或视频监视
本地
在不依赖于云后端的永久性连接的物联网设备上。由于干扰和间歇性连接性，IoT设备之间的网络带宽变化是可靠的。
我们在场
边境
，一个用于物联网设备的分布式和弹性的边缘处理平台。
网络路径多样性
：查询包括
操作员复制品
在不同的物联网节点上，基于网络路径条件，将数据的网络路径动态发展到运算符。
背压流路由
确定传输速率，同时利用多个操作员复制品进行数据并行。
瞬态断开恢复
机制重新处理丢失的数据。
In an
edge
deployment model, Internet-of-Things (IoT) applications, e.g. for building automation or video surveillance, must process data
locally
on IoT devices without relying on permanent connectivity to a cloud backend. The ability to harness the combined resources of multiple IoT devices for computation is influenced by the quality of wireless network connectivity. An open challenge is how practical edge-based IoT applications can be realised that are robust to changes in network bandwidth between IoT devices, due to interference and intermittent connectivity.
We present
Frontier
, a distributed and resilient edge processing platform for IoT devices. The key idea is to express data-intensive IoT applications as continuous data-parallel streaming queries and to improve query throughput in an unreliable wireless network by exploiting
network path diversity
: a query includes
operator replicas
at different IoT nodes, which increases possible network paths for data. Frontier dynamically routes stream data to operator replicas based on network path conditions. Nodes probe path throughput and use
backpressure stream routing
to decide on transmission rates, while exploiting multiple operator replicas for data-parallelism. If a node loses network connectivity, a
transient disconnection recovery
mechanism reprocesses the lost data. Our experimental evaluation of Frontier shows that network path diversity improves throughput by 1.3×−2.8×for different IoT applications, while being resilient to intermittent network connectivity.
影响因子：
4.2
作者：
Alexandrov, Alexander;Bergmann, Rico;Warneke, Daniel
通讯作者：
Warneke, Daniel
DOI：
10.1145/2463676.2465282
发表时间：
2013-06
期刊：
--
影响因子：
--
作者：
R. Fernandez;Matteo Migliavacca;Evangelia Kalyvianaki;P. Pietzuch
通讯作者：
R. Fernandez;Matteo Migliavacca;Evangelia Kalyvianaki;P. Pietzuch
DOI：
10.14778/3137628.3137636
发表时间：
2017-08
期刊：
Proc. VLDB Endow.
影响因子：
--
作者：
Lukas Rupprecht;W. Culhane;P. Pietzuch
通讯作者：
Lukas Rupprecht;W. Culhane;P. Pietzuch