Towards scalable edge-native applications
Towards scalable edge-native applications
复制标题
迈向可扩展的边缘原生应用程序
DOI：
10.1145/3318216.3363308
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
M. Satyanarayanan
中科院分区：
文献类型：
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作者：
Junjue Wang;Ziqiang Feng;S. George;Roger Iyengar;Padmanabhan Pillai;M. Satyanarayanan
延迟敏感的边缘原生应用程序可能是边缘基础设施商业成功的关键。然而，以广泛部署这种应用程序的形式取得成功也带来了自己的挑战。根据定义，这些应用程序是边缘依赖的，因此如果边缘过载，则不能简单地故障转移到云。在本文中，我们提出了一种基于自适应的策略，允许在资源有限的云和无线网络上扩展并发边缘原生应用程序的数量。我们展示了高达40%的减少提供的负载，对延迟的影响最小的各种认知辅助任务的非自适应方法。我们的方法能够在面临严重负载的情况下优雅地降低并维持应用程序子集的服务质量。
Latency-sensitive edge-native applications may be the key to commercial success of edge infrastructure. However, success in the form of widespread deployment of such applications poses its own challenges. These applications are edge-dependent by definition, and therefore cannot simply fail over to the cloud if the edge is overloaded. In this paper, we propose an adaptation-based strategy to allow scaling up the number of concurrent edge-native applications on a resource-limited cloudlet and wireless network. We demonstrate up to 40% reduction in offered load with minimal impact on latency on a variety of cognitive assistance tasks over non-adaptive approaches. Our approach is able to gracefully degrade and maintain quality of service for a subset of applications in the face of severely loaded conditions.
影响因子：
35.6
作者：
Vallina-Rodriguez, Narseo;Crowcroft, Jon
通讯作者：
Crowcroft, Jon
DOI：
--
发表时间：
2018-01
期刊：
--
影响因子：
--
作者：
Kevin Hsieh;Ganesh Ananthanarayanan;P. Bodík;P. Bahl;Matthai Philipose;Phillip B. Gibbons;O. Mutlu
通讯作者：
Kevin Hsieh;Ganesh Ananthanarayanan;P. Bodík;P. Bahl;Matthai Philipose;Phillip B. Gibbons;O. Mutlu