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
{"title":"A Runtime Resource Management and Provisioning Middleware for Fog Computing Infrastructures","authors":"A. Miele, Henry Zárate, Luca Cassano, C. Bolchini, Jorge E. Ortiz","doi":"10.1145/3506718","DOIUrl":null,"url":null,"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.","PeriodicalId":29764,"journal":{"name":"ACM Transactions on Internet of Things","volume":"73 1","pages":"1 - 29"},"PeriodicalIF":3.5000,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3506718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.20
自引率
3.70%
发文量
0
期刊最新文献
Introduction to the Special Issue on Wireless Sensing for IoT Special Issue on Wireless Sensing for IoT: A Word from the Editor-in-Chief Resilient Intermediary‐Based Key Exchange Protocol for IoT A Two-Mode, Adaptive Security Framework for Smart Home Security Applications Online learning for dynamic impending collision prediction using FMCW radar
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1