2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)最新文献_第6页

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2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/fmec.2019.8795357

引用次数: 0

FMEC 2019 Committees

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/fmec.2019.8795344

引用次数: 0

LEAF: Live Building Performance Evaluation Framework LEAF:现场建筑性能评估框架

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795329

Elena Markoska, S. Lazarova-Molnar

{"title":"LEAF: Live Building Performance Evaluation Framework","authors":"Elena Markoska, S. Lazarova-Molnar","doi":"10.1109/FMEC.2019.8795329","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795329","url":null,"abstract":"Buildings contribute to approx. 32% of the world’s energy consumption, and as such, are one of the prime producers of CO2 emissions. Given documented discrepancies between the designed and operational behaviour of buildings, concepts such as continuous commissioning and performance testing have emerged. Performance testing utilises metadata schemas and generic libraries of tests to increase applicability and customizability of real-time performance monitoring. In this paper we present LEAF: a Live building performance EvAluation Framework. LEAF has been developed as a result of an extensive survey with building management professionals, who gave insight into the preferences for management of various buildings. We present LEAF’s microservice-style architecture, to increase reusability of its processes by other building intelligence applications, and use it to develop a performance monitoring application for a case study building. Furthermore, the live streaming processing of building operational data has posed significant challenges to the application of LEAF. We discuss these challenges and offer directions for their solutions.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114410468","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: 6

FMEC 2019 Keynote 3

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/fmec.2019.8795364

引用次数: 0

Collaborative LoRa-Based Sensor Network for Pollution Monitoring in Smart Cities 基于协作lora的智能城市污染监测传感器网络

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795321

S. Sendra, José Luis García-Navas, Pablo Romero-Díaz, Jaime Lloret

引用次数: 7

Usability Requirements for Smart Buildings’ Performance Testing Solutions: A Survey 智能建筑性能测试解决方案的可用性需求:调查

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795308

Elena Markoska, S. Lazarova-Molnar

{"title":"Usability Requirements for Smart Buildings’ Performance Testing Solutions: A Survey","authors":"Elena Markoska, S. Lazarova-Molnar","doi":"10.1109/FMEC.2019.8795308","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795308","url":null,"abstract":"Applications for performance monitoring of buildings are highly relevant for achieving optimal building behaviour. Thus, there is an interest in developing highly usable and portable solutions. The primary stakeholders of performance monitoring solutions for buildings are building/facility managers as end users. There is a high diversity in buildings’ types, degrees of instrumentation in buildings, buildings’ management tasks, educational background of managers, etc. Each of these factors can impact a manager’s preferences for functionality and visualization of a performance testing application. Our prior work establishes a generic performance testing framework for automatic instantiation and execution of applicable performance tests. To gain qualitative feedback and insight regarding usability requirements for our framework, we conducted a series of structured interviews among seven building managers, covering 8 commercial buildings in Scandinavia and China, with a total area of 346500m2. Each interview was conducted with a questionnaire on the building’s type, degree of instrumentation, current setups of metering and sensing hardware, data storage, certification etc., featuring examples of visualising performance evaluation data for open-ended discussions. The results show an interest for simple visualization techniques, requiring little to no expertise in building management to understand. Furthermore, the majority of the respondents have expressed interest in live performance evaluation, regardless of building type, supporting the movement towards smart energy.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143818","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: 3

Uncertainty-Aware Authentication Model for Fog Computing in IoT 物联网中雾计算的不确定性感知认证模型

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795332

Mohammad Heydari, Alexios Mylonas, Vasilios Katos, E. Balaguer-Ballester, V. H. Tafreshi, E. Benkhelifa

{"title":"Uncertainty-Aware Authentication Model for Fog Computing in IoT","authors":"Mohammad Heydari, Alexios Mylonas, Vasilios Katos, E. Balaguer-Ballester, V. H. Tafreshi, E. Benkhelifa","doi":"10.1109/FMEC.2019.8795332","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795332","url":null,"abstract":"Since the term “Fog Computing” has been coined by Cisco Systems in 2012, security and privacy issues of this promising paradigm are still open challenges. Among various security challenges, Access Control is a crucial concern for all cloud computing-like systems (e.g. Fog computing, Mobile edge computing) in the IoT era. Therefore, assigning the precise level of access in such an inherently scalable, heterogeneous and dynamic environment is not easy to perform. This work defines the uncertainty challenge for authentication phase of the access control in fog computing because on one hand fog has a number of characteristics that amplify uncertainty in authentication and on the other hand applying traditional access control models does not result in a flexible and resilient solution. Therefore, we have proposed a novel prediction model based on the extension of Attribute Based Access Control (ABAC) model. Our data-driven model is able to handle uncertainty in authentication. It is also able to consider the mobility of mobile edge devices in order to handle authentication. In doing so, we have built our model using and comparing four supervised classification algorithms namely as Decision Tree, Naïve Bayes, Logistic Regression and Support Vector Machine. Our model can achieve authentication performance with 88.14% accuracy using Logistic Regression.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000282","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: 12

Analyzing the Applicability of a Multi-Criteria Decision Method in Fog Computing Placement Problem 多准则决策方法在雾计算布局问题中的适用性分析

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795361

I. Lera, Carlos Guerrero, C. Juiz

引用次数: 7

Design and Implementation of an IoT-Based Energy Monitoring System for Managing Smart Homes 基于物联网的智能家居能源监控系统的设计与实现

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/FMEC.2019.8795363

Michael Opoku Agyeman, Zainab Al-Waisi, Igla Hoxha

引用次数: 10

FMEC 2019 Keynote 1

2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2019-06-01 DOI: 10.1109/fmec.2019.8795306

引用次数: 0