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

机译:EDGESTORE:边缘服务器的单个命名空间和资源感知联合文件系统

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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.
机译:随着边缘计算的日益普及,边缘服务器的容量需求也在增长。尤其是从大量边缘客户端和/或边缘设备生成的数据量需要更大的容量才能存储它们以进行处理。数据量和当前存储容量之间日益扩大的差距促使人们对建立聚合存储空间的需求。聚合存储可以通过组合共享下的其他节点的存储资源来扩展边缘服务器的整体存储容量,是一种有效的方法。存在多个联合文件系统来满足此聚合存储需求,但并非没有限制。对特定软件堆栈的依赖性使其不适合通用用途,并且它们通常忽略了对性能至关重要的重要功能。在本文中,我们解决了使用异构文件系统和资源配置在边缘服务器之上构建联合身份验证的重要挑战。我们为EDGESTORE(用于边缘服务器的联合文件系统)制作了原型。 EDGESTORE为用户提供了聚合的存储名称空间,并联合了边缘服务器的资源,以实现联合中的高资源共享。我们提出了作业和资源感知请求放置算法(JRAP),以利用边缘服务器资源的异构性。为了评估EDGESTORE的有用性,我们考虑两种联合方案:i)具有相同的资源配置,ii)具有不同的资源配置。我们在真实的测试平台上评估从数据存储到使用EDGESTORE进行分析的各种大数据应用的功效。

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