Pub Date : 2019-06-01DOI: 10.1109/fmec.2019.8795357
{"title":"[Copyright notice]","authors":"","doi":"10.1109/fmec.2019.8795357","DOIUrl":"https://doi.org/10.1109/fmec.2019.8795357","url":null,"abstract":"","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"296 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":"122537176","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}
Pub Date : 2019-06-01DOI: 10.1109/fmec.2019.8795344
{"title":"FMEC 2019 Committees","authors":"","doi":"10.1109/fmec.2019.8795344","DOIUrl":"https://doi.org/10.1109/fmec.2019.8795344","url":null,"abstract":"","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"33 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":"124972415","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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795329
Elena Markoska, S. Lazarova-Molnar
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.
{"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}
Pub Date : 2019-06-01DOI: 10.1109/fmec.2019.8795364
{"title":"FMEC 2019 Keynote 3","authors":"","doi":"10.1109/fmec.2019.8795364","DOIUrl":"https://doi.org/10.1109/fmec.2019.8795364","url":null,"abstract":"","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"129 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":"115891425","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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795321
S. Sendra, José Luis García-Navas, Pablo Romero-Díaz, Jaime Lloret
With the aging of the car park in big cities, together with the fact that the number of users of private vehicles is increasing, the quality of air (QoA) in large cities has been worryingly reduced. Therefore, it is becoming increasingly necessary to implement new monitoring infrastructures to improve our smart cities. Therefore, in this paper, we present a collaborative Long Range (LoRa)-based sensor network for pollution monitoring in smart cities. The system is based on geo-located nodes capable of measuring the temperature, relative humidity and concentration of CO2 in urban environments. The system also takes into account the subjective opinions of citizens. By using the collected data and considering the restrictions policies of the city, the system in able to send the required orders to panels and traffic signs to control de traffic circulation. Finally, the citizens can be advised to avoid going to too polluted areas. The system has been testes in a real environment with very interesting results.
{"title":"Collaborative LoRa-Based Sensor Network for Pollution Monitoring in Smart Cities","authors":"S. Sendra, José Luis García-Navas, Pablo Romero-Díaz, Jaime Lloret","doi":"10.1109/FMEC.2019.8795321","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795321","url":null,"abstract":"With the aging of the car park in big cities, together with the fact that the number of users of private vehicles is increasing, the quality of air (QoA) in large cities has been worryingly reduced. Therefore, it is becoming increasingly necessary to implement new monitoring infrastructures to improve our smart cities. Therefore, in this paper, we present a collaborative Long Range (LoRa)-based sensor network for pollution monitoring in smart cities. The system is based on geo-located nodes capable of measuring the temperature, relative humidity and concentration of CO2 in urban environments. The system also takes into account the subjective opinions of citizens. By using the collected data and considering the restrictions policies of the city, the system in able to send the required orders to panels and traffic signs to control de traffic circulation. Finally, the citizens can be advised to avoid going to too polluted areas. The system has been testes in a real environment with very interesting results.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"86 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":"134542021","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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795308
Elena Markoska, S. Lazarova-Molnar
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.
{"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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795332
Mohammad Heydari, Alexios Mylonas, Vasilios Katos, E. Balaguer-Ballester, V. H. Tafreshi, E. Benkhelifa
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.
{"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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795361
I. Lera, Carlos Guerrero, C. Juiz
In Fog computing the placement selection of services in network devices with computational and storage features is an NP-hard problem. We analyse the design of Fog scenarios and the placement problem using Electre III a multi-criteria decision method for outranking alternatives. In this study, we model a Fog environment to apply a decision model for determining which alternatives are the most suitable in each application deployment. We compare the results with the weighted average to analyse the applicability of Electre III method in the Fog placement problem. We design a dynamical scenario in which new users appear along the simulation and we use the latency, hop count, cost, deployment penalty and energy consumption criteria to rank placement alternatives. This approach enables the study of how the characteristics of the resources have to be distributed, that is, how to design Fog scenarios, in order to make the allocation of applications more efficient.
{"title":"Analyzing the Applicability of a Multi-Criteria Decision Method in Fog Computing Placement Problem","authors":"I. Lera, Carlos Guerrero, C. Juiz","doi":"10.1109/FMEC.2019.8795361","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795361","url":null,"abstract":"In Fog computing the placement selection of services in network devices with computational and storage features is an NP-hard problem. We analyse the design of Fog scenarios and the placement problem using Electre III a multi-criteria decision method for outranking alternatives. In this study, we model a Fog environment to apply a decision model for determining which alternatives are the most suitable in each application deployment. We compare the results with the weighted average to analyse the applicability of Electre III method in the Fog placement problem. We design a dynamical scenario in which new users appear along the simulation and we use the latency, hop count, cost, deployment penalty and energy consumption criteria to rank placement alternatives. This approach enables the study of how the characteristics of the resources have to be distributed, that is, how to design Fog scenarios, in order to make the allocation of applications more efficient.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"68 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":"114524900","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}
Pub Date : 2019-06-01DOI: 10.1109/FMEC.2019.8795363
Michael Opoku Agyeman, Zainab Al-Waisi, Igla Hoxha
The usage of smart meters has been expanding rapidly since the 2000s, as they provide economic, social and environmental benefits for multiple stakeholders. A smart meter can have a customizable design based on the requirements of customer and utility company. They can be implemented by using different sensors and devices, supported by dedicated communication infrastructure. This paper presents the design and implementation of a full working smart meter system that provides remote control of individual loads by using Arduino, Raspberry Pi and other sensors. The implemented system includes a mobile application, developed for the client to control and manage the smart meter, along with a website application, developed for the utility company to monitor and administer the system. The energy monitoring system is equipped with various features such as sending a notification to the client if consumption budget exceeds a customizable threshold (75%), payment options by Visa or PayPal and many others.
{"title":"Design and Implementation of an IoT-Based Energy Monitoring System for Managing Smart Homes","authors":"Michael Opoku Agyeman, Zainab Al-Waisi, Igla Hoxha","doi":"10.1109/FMEC.2019.8795363","DOIUrl":"https://doi.org/10.1109/FMEC.2019.8795363","url":null,"abstract":"The usage of smart meters has been expanding rapidly since the 2000s, as they provide economic, social and environmental benefits for multiple stakeholders. A smart meter can have a customizable design based on the requirements of customer and utility company. They can be implemented by using different sensors and devices, supported by dedicated communication infrastructure. This paper presents the design and implementation of a full working smart meter system that provides remote control of individual loads by using Arduino, Raspberry Pi and other sensors. The implemented system includes a mobile application, developed for the client to control and manage the smart meter, along with a website application, developed for the utility company to monitor and administer the system. The energy monitoring system is equipped with various features such as sending a notification to the client if consumption budget exceeds a customizable threshold (75%), payment options by Visa or PayPal and many others.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"29 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":"123028873","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}
Pub Date : 2019-06-01DOI: 10.1109/fmec.2019.8795306
{"title":"FMEC 2019 Keynote 1","authors":"","doi":"10.1109/fmec.2019.8795306","DOIUrl":"https://doi.org/10.1109/fmec.2019.8795306","url":null,"abstract":"","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"26 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":"127254294","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}
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