A Runtime Resource Management and Provisioning Middleware for Fog Computing Infrastructures

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2022-04-11 DOI:10.1145/3506718
A. Miele, Henry Zárate, Luca Cassano, C. Bolchini, Jorge E. Ortiz
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引用次数: 2

Abstract

The pervasiveness and growing processing capabilities of mobile and embedded systems have enabled the widespread diffusion of the Fog Computing paradigm in the Internet of Things scenario, where computing is directly performed at the edges of the networked infrastructure in distributed cyber-physical systems. This scenario is characterized by a highly dynamic workload and architecture in which applications enter and leave the system, as well as nodes and connections. This article proposes a runtime resource management and provisioning middleware for the dynamic distribution of the applications on the processing resources. The proposed middleware consists of a two-level hierarchy: (i) a global Fog Orchestrator monitoring the architecture status and (ii) a Local Agent on each node, performing a fine-grain tuning of its resources. The co-operation between these components allows one to dynamically adapt and exploit the fine-grain nodes view for fulfilling the defined system-level goals, for example, minimizing power consumption while meeting Quality of Service requirements such as application throughput. This hierarchical architecture and the adopted policies offer a unified optimization strategy that is unique with regard to existing approaches that typically focus on a single aspect of resource management at runtime. A middleware prototype is presented and experimentally evaluated in a Smart Building case study.
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面向雾计算基础设施的运行时资源管理和供应中间件
移动和嵌入式系统的普及和不断增长的处理能力使雾计算范式在物联网场景中的广泛传播成为可能,在物联网场景中,计算直接在分布式网络物理系统的网络基础设施边缘执行。此场景的特点是高度动态的工作负载和体系结构,其中应用程序进入和离开系统,以及节点和连接。本文提出了一个运行时资源管理和供应中间件,用于动态分布处理资源上的应用程序。提议的中间件由两层层次结构组成:(i)监视体系结构状态的全局Fog Orchestrator和(ii)每个节点上的Local Agent,执行其资源的细粒度调优。这些组件之间的合作允许动态地适应和利用细粒度节点视图来实现定义的系统级目标,例如,在满足服务质量要求(如应用程序吞吐量)的同时最小化功耗。这种分层体系结构和所采用的策略提供了统一的优化策略,与通常只关注运行时资源管理的单个方面的现有方法相比,这种策略是独一无二的。提出了一种中间件原型,并在智能建筑案例研究中进行了实验评估。
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CiteScore
5.20
自引率
3.70%
发文量
0
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