EDGESTORE: A Single Namespace and Resource-Aware Federation File System for Edge Servers

Awais Khan, M. Attique, Youngjae Kim, Sungyong Park, Byungchul Tak
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引用次数: 8

Abstract

With the increasing adoption of edge computing, the capacity requirements of the edge servers are also growing. Especially the data volume generated from a large number of edge clients and/or edge devices demand more capacity to be able to store them for processing. The growing gap between the data volume and current storage capacity is motivating the need towards building aggregated storage spaces. Aggregated storage can be an effective way to extend edge servers' overall storage capacity by combining storage resources of other nodes under the agreement to share. Several Federation file systems exist to meet this aggregate storage needs but are not without limitations. Dependency to the specific software stack makes it unfit for general-purpose use and they often neglect important features critical for the performance. In this paper, we address the important challenges of building the Federation on top of edge servers with the heterogeneous file system and resource configurations. We prototyped EDGESTORE, a Federation File System for Edge Servers. EDGESTORE equips the users with an aggregate storage namespace and federates resources of edge servers, to enable high resource-sharing in Federation. We propose, Job and Resource-Aware Request Placement algorithm (JRAP) to take advantage of edge server resource heterogeneity. To evaluate the usefulness of EDGESTORE, we consider two federation scenarios i) with same resource configurations and ii) with different resource configurations. We evaluate the efficacy of various big data applications from data storage to analysis using EDGESTORE on a real testbed.
EDGESTORE:用于边缘服务器的单一命名空间和资源感知的联合文件系统
随着边缘计算的日益普及,边缘服务器的容量需求也在不断增长。特别是从大量边缘客户端和/或边缘设备生成的数据量需要更多的容量来存储它们以进行处理。数据量和当前存储容量之间的差距越来越大,这促使人们需要构建聚合存储空间。通过将协议下其他节点的存储资源组合在一起进行共享,聚合存储可以有效地扩展边缘服务器的整体存储容量。有几个联邦文件系统可以满足这种聚合存储需求,但它们并非没有限制。对特定软件堆栈的依赖使其不适合通用用途,并且它们经常忽略对性能至关重要的重要特性。在本文中,我们解决了在具有异构文件系统和资源配置的边缘服务器上构建联邦的重要挑战。我们制作了EDGESTORE原型,这是一个用于边缘服务器的联合文件系统。EDGESTORE为用户提供了一个聚合存储空间,并对边缘服务器的资源进行了联合,实现了高度的资源共享。我们提出了作业和资源感知请求放置算法(JRAP)来利用边缘服务器资源的异构性。为了评估EDGESTORE的有用性,我们考虑了两个联合场景:i)具有相同的资源配置,ii)具有不同的资源配置。我们在一个真实的测试平台上使用EDGESTORE来评估从数据存储到分析的各种大数据应用程序的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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