2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)最新文献

Development of a Smart Metering Microservice Based on Fast Fourier Transform (FFT) for Edge/Internet of Things Environments 边缘/物联网环境下基于快速傅里叶变换(FFT)的智能计量微服务开发

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-14 DOI: 10.1109/CFEC.2019.8733148

Alina Buzachis, A. Galletta, A. Celesti, M. Fazio, M. Villari

{"title":"Development of a Smart Metering Microservice Based on Fast Fourier Transform (FFT) for Edge/Internet of Things Environments","authors":"Alina Buzachis, A. Galletta, A. Celesti, M. Fazio, M. Villari","doi":"10.1109/CFEC.2019.8733148","DOIUrl":"https://doi.org/10.1109/CFEC.2019.8733148","url":null,"abstract":"In recent years, great attention has been given to new Internet of Things (IoT) technologies. The IoT concept is nowadays intrinsic to traditional products and services. With its rapid development, more and more small smart devices are connected over the Internet in order to monitor, collect and exchange data in real-time to provide smart IoT-as-a-Services (IoTaaS). A few years ago, IoT devices exclusively sent data to a centralized Cloud data center; today it is possible to perform \"on board\" processing tasks at the Edge of the network and subsequently share or use the obtained results closer to users. This paper, focusing on a smart grid scenario, investigates the possibility of creating an IoTaaS for smart metering, including a microservice for IoT devices capable of acquiring and processing electrical data using the Fast Fourier Transform (FFT) algorithm. In particular, we experimentally use the smart metering IoTaaS running on a Raspberry Pi 3 device to perform a harmonic analysis of a frequency signal of the domestic electrical grid in order to characterize the non-linear loads associated to the electronic devices (e.g., smart TV, computers, etc) with the purpose of monitoring their status and preventing possible malfunctions and faults.","PeriodicalId":340721,"journal":{"name":"2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131065536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Machine Learning based Timeliness-Guaranteed and Energy-Efficient Task Assignment in Edge Computing Systems 边缘计算系统中基于机器学习的时效性和高能效任务分配

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-14 DOI: 10.1109/CFEC.2019.8733153

Tanmoy Sen, Haiying Shen

{"title":"Machine Learning based Timeliness-Guaranteed and Energy-Efficient Task Assignment in Edge Computing Systems","authors":"Tanmoy Sen, Haiying Shen","doi":"10.1109/CFEC.2019.8733153","DOIUrl":"https://doi.org/10.1109/CFEC.2019.8733153","url":null,"abstract":"The proliferation in the use of the Internet of Things (IoT) and Machine Learning (ML) techniques in edge computing systems have paved the way of using Intelligent Cognitive Assistants (ICA) for assisting people in working, learning, transportation, healthcare, and other activities. A challenge here is how to schedule application tasks between the three tiers in the edge computing system (i.e., remote cloud, fog and edge devices) according to several considered factors such as latency, energy, and bandwidth consumption. However, the state-of-the-art approaches for this challenge fall short in providing a schedule in real time for critical ICA tasks due to complex calculation phase. In this paper, we propose a novel ReInforcement Learning based Task Assignment approach, RILTA, that ensures the timeliness guaranteed execution of ICA tasks with high energy efficiency. We first formulate the task-scheduling problem in the edge computing systems considering timeliness and energy consumption in ICA applications. We then propose a heuristic for solving the problem and design the reinforcement model based on the output of the proposed heuristic. Our simulation results show that RILTA can reduce the task processing time and energy consumption with higher timeliness guarantee in comparison to other existing methods by 13 − 22% and 1 − 10% respectively.","PeriodicalId":340721,"journal":{"name":"2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)","volume":"3 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Towards Context-Aware and Dynamic Management of Stream Processing Pipelines for Fog Computing 面向雾计算的流处理管道的上下文感知和动态管理

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733145

Patrick Wiener, Philipp Zehnder, Dominik Riemer

引用次数: 10

ICFEC 2019 Program Schedule ICFEC 2019项目时间表

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/cfec.2019.8733141

Dominik Riemer, Vasileios Karagiannis, Stefan Schulte, J. Leitao, Nuno, Preguica, R. Hussain, M. Salehi, Mohsen, Amini Salehi, Haiying Shen

引用次数: 0

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/cfec.2019.8733142

引用次数: 0

Using Virtual Events for Edge-based Data Stream Reduction in Distributed Publish/Subscribe Systems 在分布式发布/订阅系统中使用虚拟事件减少基于边缘的数据流

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733146

Philipp Zehnder, Patrick Wiener, Dominik Riemer

{"title":"Using Virtual Events for Edge-based Data Stream Reduction in Distributed Publish/Subscribe Systems","authors":"Philipp Zehnder, Patrick Wiener, Dominik Riemer","doi":"10.1109/CFEC.2019.8733146","DOIUrl":"https://doi.org/10.1109/CFEC.2019.8733146","url":null,"abstract":"Distributed publish/subscribe systems are an enabling technology for Industrial Internet of Things applications. While the number of sensors increases, network bandwidth becomes a bottleneck. Existing solutions typically aim to reduce network load either by pre-processing events directly on the edge or by aggregating events into larger batches. However, these approaches are rather static and do not adequately account for the application requirements of subscribers or the actual values of sensor measurements. This paper introduces methods for publish/subscribe systems to dynamically adapt payloads of events at runtime based on i) different data reduction and transformation strategies, ii) a wrapper solution around existing message brokers and iii) a semantics-based event schema registry. Consumers are able to subscribe to various quality levels and receive virtual events, that are reconstructed directly at the subscriber based on knowledge from the semantic model and dynamic decision rules. Our evaluation shows that the concept of virtual events can reduce the network load between publishers, the message broker and subscribers compared to multiple investigated compression techniques.","PeriodicalId":340721,"journal":{"name":"2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134473908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ORCH: Distributed Orchestration Framework using Mobile Edge Devices ORCH:使用移动边缘设备的分布式编排框架

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733152

Klervie Toczé, S. Nadjm-Tehrani

引用次数: 22

Edge-to-Edge Resource Discovery using Metadata Replication 使用元数据复制进行边缘到边缘资源发现

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733149

Ilir Murturi, Cosmin Avasalcai, Christos Tsigkanos, S. Dustdar

{"title":"Edge-to-Edge Resource Discovery using Metadata Replication","authors":"Ilir Murturi, Cosmin Avasalcai, Christos Tsigkanos, S. Dustdar","doi":"10.1109/CFEC.2019.8733149","DOIUrl":"https://doi.org/10.1109/CFEC.2019.8733149","url":null,"abstract":"Edge computing has been recently introduced as an intermediary between Internet of Things (IoT) deployments and the cloud, providing data or control facilities to participating IoT devices. This includes actively supporting IoT resource discovery, something particularly pertinent when building large- scale, distributed and heterogeneous IoT systems. Moreover, edge devices supporting resource discovery are required to meet the stringent requirements prevalent in IoT systems including high availability, low-latency, and privacy. To this end, we present a resource discovery platform for IoT resources situated at the edge of the network. Our approach aims at providing a seamless discovery process that is able to (i) extend the covered area by deploying additional edge nodes and (ii) assist in the development of new IoT applications that target already available resources. Within our proposed platform, devices located in a certain proximity connect and form an edge-to-edge network that we call an edge neighborhood - our edge-to-edge metadata replication platform enables participating devices to discover available resources. Our solution is characterized by absence of centralization, as edge nodes exchange metadata about available resources within their scope in a peer-to-peer manner.","PeriodicalId":340721,"journal":{"name":"2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116859164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks 基于边缘计算的车对基础设施(V2I)网络健壮资源分配

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733151

A. Kovalenko, R. Hussain, Omid Semiari, M. Salehi

{"title":"Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks","authors":"A. Kovalenko, R. Hussain, Omid Semiari, M. Salehi","doi":"10.1109/CFEC.2019.8733151","DOIUrl":"https://doi.org/10.1109/CFEC.2019.8733151","url":null,"abstract":"Development of autonomous and self-driving vehicles requires agile and reliable services to manage hazardous road situations. Vehicular Network is the medium that can provide high-quality services for self-driving vehicles. The majority of service requests in Vehicular Networks are delay intolerant (e.g., hazard alerts, lane change warning) and require immediate service. Therefore, Vehicular Networks, and particularly, Vehicle-to-Infrastructure (V2I) systems must provide a consistent real-time response to autonomous vehicles. During peak hours or disasters, when a surge of requests arrives at a Base Station, it is challenging for the V2I system to maintain its performance, which can lead to hazardous consequences. Hence, the goal of this research is to develop a V2I system that is robust against uncertain request arrivals. To achieve this goal, we propose to dynamically allocate service requests among Base Stations. We develop an uncertainty-aware resource allocation method for the federated environment that assigns arriving requests to a Base Station so that the likelihood of completing it on-time is maximized. We evaluate the system under various workload conditions and oversubscription levels. Simulation results show that edge federation can improve robustness of the V2I system by reducing the overall service miss rate by up to 45%.","PeriodicalId":340721,"journal":{"name":"2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127953129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Enabling Fog Computing using Self-Organizing Compute Nodes 使用自组织计算节点开启雾计算

2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC) Pub Date : 2019-05-01 DOI: 10.1109/CFEC.2019.8733150

Vasileios Karagiannis, Stefan Schulte, J. Leitao, Nuno M. Preguiça

引用次数: 16