Pub Date : 2019-08-01DOI: 10.1109/FiCloud.2019.00026
Alina Buzachis, M. Fazio, A. Galletta, A. Celesti, M. Villari
This article proposes a novel cost-effective, robust, reliable and flexible infrastructureless IoT multi-hop Wireless Mesh Network (IoT-WMN) for Public Safety and Disaster Response (PSDR). The proposed system is able to auto-detect an Emergency Relief State (ERS) due to a disaster and to auto-configure itself in order to remain up and running, regardless of the disaster nature, to help victims to be timely rescued. To achieve this goal, these networks must be installed quickly and transparently for users, as victims cannot be expected to perform configuration operations or certain multi-hop-enabled software installed on their devices. in case of ERS detection, the system sets up ad hoc connections self-organizing links according to a tandem-based WMN topology and self-configuring access points (APs) for wireless devices (e.g., mobile phones of disaster victims). Devices connected to ad hoc APs become APs in turn, thus extending the network coverage. Available devices of different stockholders (e.g., municipality, first aid organizations, volunteer groups,...) are federated in a whole cooperating system, where each device works at the same time as node, gateway and router.
本文提出了一种新型的经济高效、鲁棒、可靠和灵活的无基础设施物联网多跳无线网状网络(IoT- wmn)，用于公共安全和灾难响应(PSDR)。该系统能够自动检测灾难导致的紧急救援状态(ERS)，并自动配置自身以保持启动和运行，无论灾难性质如何，以帮助受害者及时获救。为了实现这一目标，这些网络必须快速透明地安装给用户，因为受害者不能期望执行配置操作或在他们的设备上安装某些支持多跳的软件。在检测到ERS的情况下，系统根据基于串联的WMN拓扑结构建立自组织链路，并为无线设备(例如灾民的移动电话)自配置接入点(ap)。连接到ad hoc ap的设备依次成为ap，从而扩展了网络的覆盖范围。不同股东(例如，市政当局、急救组织、志愿者团体等)的可用设备联合在一个完整的合作系统中，其中每个设备同时作为节点、网关和路由器工作。
{"title":"Infrastructureless IoT-as-a-Service for Public Safety and Disaster Response","authors":"Alina Buzachis, M. Fazio, A. Galletta, A. Celesti, M. Villari","doi":"10.1109/FiCloud.2019.00026","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00026","url":null,"abstract":"This article proposes a novel cost-effective, robust, reliable and flexible infrastructureless IoT multi-hop Wireless Mesh Network (IoT-WMN) for Public Safety and Disaster Response (PSDR). The proposed system is able to auto-detect an Emergency Relief State (ERS) due to a disaster and to auto-configure itself in order to remain up and running, regardless of the disaster nature, to help victims to be timely rescued. To achieve this goal, these networks must be installed quickly and transparently for users, as victims cannot be expected to perform configuration operations or certain multi-hop-enabled software installed on their devices. in case of ERS detection, the system sets up ad hoc connections self-organizing links according to a tandem-based WMN topology and self-configuring access points (APs) for wireless devices (e.g., mobile phones of disaster victims). Devices connected to ad hoc APs become APs in turn, thus extending the network coverage. Available devices of different stockholders (e.g., municipality, first aid organizations, volunteer groups,...) are federated in a whole cooperating system, where each device works at the same time as node, gateway and router.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117137903","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00014
Soojeon Lee, Byoung-Sun Lee, J. Ahn
In a UAV-aided WSN (Wireless Sensor Network), a UAV makes data collection work energy-efficient and completed rapidly. In a UAV-aided WSN, CHs (Cluster Heads) take charge of a crucial role such as gathering data from members and delivering the gathered data to a UAV. Such an important and critical role of CHs makes attackers enthusiastic in turning their compromised nodes to CHs. In the general CH election framework, each node determines its CH role by itself, and this allows a compromised node to become a CH even if it is a disqualified node. This paper presents a UAV-aided CH election framework where a UAV gathers residual energy of nodes and delivers them to the sink, which elects new CHs or disqualified candidates and delivers the new CHs or the disqualified candidates to the network. As depicted in simulation results, the UAV-aided CH election framework significantly diminishes CH elections of compromised nodes and corrupted messages per second. In addition, the UAV-aided CH election framework hugely diminishes energy consumption of nodes, and extends both lifetime of nodes and network lifetime. An important future work item is to implement other CH election protocols under out CH election framework, and to compare them in terms of security and performance.
{"title":"Secure and Efficient Cluster Head Election in a UAV-Aided Wireless Sensor Network","authors":"Soojeon Lee, Byoung-Sun Lee, J. Ahn","doi":"10.1109/FiCloud.2019.00014","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00014","url":null,"abstract":"In a UAV-aided WSN (Wireless Sensor Network), a UAV makes data collection work energy-efficient and completed rapidly. In a UAV-aided WSN, CHs (Cluster Heads) take charge of a crucial role such as gathering data from members and delivering the gathered data to a UAV. Such an important and critical role of CHs makes attackers enthusiastic in turning their compromised nodes to CHs. In the general CH election framework, each node determines its CH role by itself, and this allows a compromised node to become a CH even if it is a disqualified node. This paper presents a UAV-aided CH election framework where a UAV gathers residual energy of nodes and delivers them to the sink, which elects new CHs or disqualified candidates and delivers the new CHs or the disqualified candidates to the network. As depicted in simulation results, the UAV-aided CH election framework significantly diminishes CH elections of compromised nodes and corrupted messages per second. In addition, the UAV-aided CH election framework hugely diminishes energy consumption of nodes, and extends both lifetime of nodes and network lifetime. An important future work item is to implement other CH election protocols under out CH election framework, and to compare them in terms of security and performance.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124886997","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00032
G. Modica, A. Stefano, G. Morana, O. Tomarchio
Multi-cloud solutions are becoming increasingly popular among enterprises and, today, it is easy to find organizations that use resources and services belonging to two or more cloud providers. It is well-known that the adoption of a multi-cloud infrastructure provides several advantages: it limits vendor lock-in and/or dependence on a single provider, enables cost reduction, grants the access to a wide variety of services and computational resources and allows the exploitation of the geographical location of the servers (e.g., to be consistent with data compliance policies). These advantages, however, have a cost in terms of greater complexity in resources' configuration and management: e.g., security policies have to be adapted and made consistent among all the different cloud providers. This complexity implies that most of the companies that use a multi-cloud infrastructure manage the resources belonging to different providers as independent and autonomous, exploiting only a portion of the advantages that could be benefited if those resources were used in an integrated and optimized way. In this paper, we will describe and discuss some of the aspects related to the inter-networking among resources belonging to multiple providers, a necessary and fundamental step towards a strong integration among different clouds.
{"title":"On the Cost of the Management of user Applications in a Multicloud Environment","authors":"G. Modica, A. Stefano, G. Morana, O. Tomarchio","doi":"10.1109/FiCloud.2019.00032","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00032","url":null,"abstract":"Multi-cloud solutions are becoming increasingly popular among enterprises and, today, it is easy to find organizations that use resources and services belonging to two or more cloud providers. It is well-known that the adoption of a multi-cloud infrastructure provides several advantages: it limits vendor lock-in and/or dependence on a single provider, enables cost reduction, grants the access to a wide variety of services and computational resources and allows the exploitation of the geographical location of the servers (e.g., to be consistent with data compliance policies). These advantages, however, have a cost in terms of greater complexity in resources' configuration and management: e.g., security policies have to be adapted and made consistent among all the different cloud providers. This complexity implies that most of the companies that use a multi-cloud infrastructure manage the resources belonging to different providers as independent and autonomous, exploiting only a portion of the advantages that could be benefited if those resources were used in an integrated and optimized way. In this paper, we will describe and discuss some of the aspects related to the inter-networking among resources belonging to multiple providers, a necessary and fundamental step towards a strong integration among different clouds.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123409911","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 : 2019-08-01DOI: 10.1109/ficloud.2019.00007
Yudith Cardinale, Simón Bolívar, Patrick Wang, Zakia Kazi-Aoul, Fang-Fang Chua, Yunli Lee, Dongjin Yu, Akramul Azim, Alex Ng, I. Kumara, Khaled M. Khan
Rafael Angarita, INRIA and Isep, Paris, France (Chair) Yudith Cardinale, Simon Bolivar University, Venezuela Patrick Wang, ISEP Paris, France Zakia Kazi-Aoul, ISEP Paris, France Fang-Fang Chua, Multimedia University, Malaysia Yunli Lee, Sunway University, Malaysia R.Kanesaraj Ramasamy, Multimedia University, Malaysia Judith Barrios, University of the Andes, Venezuela Souraya Hamida, Batna 2 University, Algeria Mohamed Sellami, Télécom SudParis, France Maude Manouvrier, Paris Dauphine University, France Chan Gaik-Yee, Multimedia University, Malaysia Marta Rukoz, Paris Dauphine University/Paris Nanterre University, France Cristhian Parra, Universidad Católica de Asunción, Uruguay Georgios Bouloukakis, Inria, France and UC Irvine, USA Marco Perez Hernandez, University of Cambridge, UK Rachit Agarwal, INRIA, France Sara Ayoubi, INRIA, France Qin MA, University of Luxembourg, Luxembourg
Rafael Angarita, INRIA和Isep，法国巴黎(主席)Yudith Cardinale，委内瑞拉西蒙玻利瓦尔大学，法国巴黎Isep，法国Wang, Zakia Kazi-Aoul，巴黎Isep，法国chufang - fang，多媒体大学，马来西亚李云丽，双威大学，马来西亚R.Kanesaraj Ramasamy，多媒体大学，马来西亚Judith Barrios，安第斯大学，委内瑞拉苏拉亚·哈米达，巴特那第二大学，阿尔及利亚Mohamed Sellami，巴黎萨达姆，法国Maude Manouvrier，法国巴黎太子大学陈Gaik-Yee马来西亚多媒体大学Marta Rukoz法国巴黎太子大学/巴黎南泰尔大学Cristhian Parra法国Inria大学和美国加州大学欧文分校Marco Perez Hernandez英国剑桥大学Rachit Agarwal法国Inria Sara Ayoubi法国Inria卢森堡大学Qin MA
{"title":"FiCloud-2019 Program Committee","authors":"Yudith Cardinale, Simón Bolívar, Patrick Wang, Zakia Kazi-Aoul, Fang-Fang Chua, Yunli Lee, Dongjin Yu, Akramul Azim, Alex Ng, I. Kumara, Khaled M. Khan","doi":"10.1109/ficloud.2019.00007","DOIUrl":"https://doi.org/10.1109/ficloud.2019.00007","url":null,"abstract":"Rafael Angarita, INRIA and Isep, Paris, France (Chair) Yudith Cardinale, Simon Bolivar University, Venezuela Patrick Wang, ISEP Paris, France Zakia Kazi-Aoul, ISEP Paris, France Fang-Fang Chua, Multimedia University, Malaysia Yunli Lee, Sunway University, Malaysia R.Kanesaraj Ramasamy, Multimedia University, Malaysia Judith Barrios, University of the Andes, Venezuela Souraya Hamida, Batna 2 University, Algeria Mohamed Sellami, Télécom SudParis, France Maude Manouvrier, Paris Dauphine University, France Chan Gaik-Yee, Multimedia University, Malaysia Marta Rukoz, Paris Dauphine University/Paris Nanterre University, France Cristhian Parra, Universidad Católica de Asunción, Uruguay Georgios Bouloukakis, Inria, France and UC Irvine, USA Marco Perez Hernandez, University of Cambridge, UK Rachit Agarwal, INRIA, France Sara Ayoubi, INRIA, France Qin MA, University of Luxembourg, Luxembourg","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116071658","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 : 2019-08-01DOI: 10.1109/ficloud.2019.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/ficloud.2019.00003","DOIUrl":"https://doi.org/10.1109/ficloud.2019.00003","url":null,"abstract":"","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129765120","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00029
Andreas Mladenow, Regina Cernicka, C. Strauss, Valerie Busse, M. Greguš
Equity crowdfunding represents a relatively novel way of alternative funding for entrepreneurial initiatives. The presented paper aims at providing evidence that crowdfunding had developed into an acknowledged, sustainable adequate means of funding and its suitability for investments in commercial real estate projects. For this reason we provide (i) an overview of risks associated with equity crowdfunding from the viewpoint of entrepreneurs, of investors and of platforms, (ii) a selection of equity crowdfunding applications and its industry sectors, (iii) evidence from literature that equity crowdfunding is an acknowledged approach in research which is elaborated on in various scientific disciplines, (iv) an analysis of success factors for crowdfunding campaigns on basis of nine empirical studies, and (v) a detailed discussion of advantages and disadvantages from an investor's viewpoint based on a SWOT analysis.
{"title":"Equity Crowdfunding in Real Estate","authors":"Andreas Mladenow, Regina Cernicka, C. Strauss, Valerie Busse, M. Greguš","doi":"10.1109/FiCloud.2019.00029","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00029","url":null,"abstract":"Equity crowdfunding represents a relatively novel way of alternative funding for entrepreneurial initiatives. The presented paper aims at providing evidence that crowdfunding had developed into an acknowledged, sustainable adequate means of funding and its suitability for investments in commercial real estate projects. For this reason we provide (i) an overview of risks associated with equity crowdfunding from the viewpoint of entrepreneurs, of investors and of platforms, (ii) a selection of equity crowdfunding applications and its industry sectors, (iii) evidence from literature that equity crowdfunding is an acknowledged approach in research which is elaborated on in various scientific disciplines, (iv) an analysis of success factors for crowdfunding campaigns on basis of nine empirical studies, and (v) a detailed discussion of advantages and disadvantages from an investor's viewpoint based on a SWOT analysis.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121439544","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00012
R. Immich, L. Villas, L. Bittencourt, E. Madeira
In the last few years, there has been a rapid proliferation of a wide range of real-time video services and applications. These technologies flood the wireless systems with video content on a daily basis. As a result of this sharp increase in video traffic, the prospect of errors due to network interference and congestion rises. Incidentally, the adoption of the 5th generation of wireless systems (5G) will allow this growth to be even greater due to its high bandwidth capacity and low latency. However, even with these improvements on the wireless capabilities, a reliable and high-quality video transmission still imposes several challenges, such as how to handle a large number of heterogeneous devices and how to better use the resource-richer Edge, Fog, and Cloud computing sources to meet the user's requirements. To overcome these issues, this work proposes a multi-tier video delivery architecture relying upon several technologies such as Multi-access Edge computing (MEC), 5G slices, and microservice placement/chaining. Furthermore, to assess the proposed idea an experimental proof-of-concept testbed of the multi-tier architecture was designed, implemented, and evaluated using real-world tools and actual video sequences. The results obtained supported our claim that a multi-tier video delivery system is feasible and can greatly benefit the end-users.
{"title":"Multi-tier Edge-to-Cloud Architecture for Adaptive Video Delivery","authors":"R. Immich, L. Villas, L. Bittencourt, E. Madeira","doi":"10.1109/FiCloud.2019.00012","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00012","url":null,"abstract":"In the last few years, there has been a rapid proliferation of a wide range of real-time video services and applications. These technologies flood the wireless systems with video content on a daily basis. As a result of this sharp increase in video traffic, the prospect of errors due to network interference and congestion rises. Incidentally, the adoption of the 5th generation of wireless systems (5G) will allow this growth to be even greater due to its high bandwidth capacity and low latency. However, even with these improvements on the wireless capabilities, a reliable and high-quality video transmission still imposes several challenges, such as how to handle a large number of heterogeneous devices and how to better use the resource-richer Edge, Fog, and Cloud computing sources to meet the user's requirements. To overcome these issues, this work proposes a multi-tier video delivery architecture relying upon several technologies such as Multi-access Edge computing (MEC), 5G slices, and microservice placement/chaining. Furthermore, to assess the proposed idea an experimental proof-of-concept testbed of the multi-tier architecture was designed, implemented, and evaluated using real-world tools and actual video sequences. The results obtained supported our claim that a multi-tier video delivery system is feasible and can greatly benefit the end-users.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177431","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00020
Nikita Baranov, M. Bashkin, V. Bashkin
A lightweight decentralized adaptive anonymous routing scheme is presented that combines onion routing for the initial global route request and threshold-based secret sharing for the subsequent local route tuning/healing. The encrypted propagation of the partial routes information allows to handle minor network topology changes locally, without new route requests and with a limited deanonymization of participants. The intermediate node can discover/decrypt the local routing data only together with its designated neigbour (threshold-based secret sharing is used) and only in the event of a topology change.
{"title":"Self-Healing Anonymous Routing in Unstable Sensor Networks","authors":"Nikita Baranov, M. Bashkin, V. Bashkin","doi":"10.1109/FiCloud.2019.00020","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00020","url":null,"abstract":"A lightweight decentralized adaptive anonymous routing scheme is presented that combines onion routing for the initial global route request and threshold-based secret sharing for the subsequent local route tuning/healing. The encrypted propagation of the partial routes information allows to handle minor network topology changes locally, without new route requests and with a limited deanonymization of participants. The intermediate node can discover/decrypt the local routing data only together with its designated neigbour (threshold-based secret sharing is used) and only in the event of a topology change.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133266696","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00044
Z. H. C. Soh, I. H. Hamzah, S. Abdullah, M. A. Shafie, S. N. Sulaiman, K. Daud
This paper presents a home energy consumption monitoring system and alerts on Ubidots Cloud Services. In this research work, an Internet of Things (IoT) framework has been implemented to monitor the energy consumption data at home and send the energy consumption data to IoT Cloud. The system utilizes a sensor module (ACS712) that connected with Intel Edison microcontroller to measure the power consumption at the home. The power consumption data is collected and stored into Ubidots IoT Cloud Services. The consumers can monitor the energy consumption at home on daily basis and therefore can control the amount of energy usage daily. The data collection experiment is carried out to see the amount of power consumption at home. The power consumption data is also displayed on the LCD for before and after the load is connected on the system. The IoT dashboard accessible online by user to look into their daily power consumption using IoT dashboard. IoT Cloud perform some event analytic on the collected power consumption data and notify home owner a caution, recommendation through email and telegram which will alert their client about their electrical power utilization have exceed their power consumption limit, thus helps to reduce over usage of power.
{"title":"Energy Consumption Monitoring and Alert System via IoT","authors":"Z. H. C. Soh, I. H. Hamzah, S. Abdullah, M. A. Shafie, S. N. Sulaiman, K. Daud","doi":"10.1109/FiCloud.2019.00044","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00044","url":null,"abstract":"This paper presents a home energy consumption monitoring system and alerts on Ubidots Cloud Services. In this research work, an Internet of Things (IoT) framework has been implemented to monitor the energy consumption data at home and send the energy consumption data to IoT Cloud. The system utilizes a sensor module (ACS712) that connected with Intel Edison microcontroller to measure the power consumption at the home. The power consumption data is collected and stored into Ubidots IoT Cloud Services. The consumers can monitor the energy consumption at home on daily basis and therefore can control the amount of energy usage daily. The data collection experiment is carried out to see the amount of power consumption at home. The power consumption data is also displayed on the LCD for before and after the load is connected on the system. The IoT dashboard accessible online by user to look into their daily power consumption using IoT dashboard. IoT Cloud perform some event analytic on the collected power consumption data and notify home owner a caution, recommendation through email and telegram which will alert their client about their electrical power utilization have exceed their power consumption limit, thus helps to reduce over usage of power.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132689689","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00035
Salvatore Dipietro, G. Casale
Estimating performance models parameters of cloud systems presents several challenges due to the distributed nature of the applications, the chains of interactions of requests with architectural nodes, and the parallelism and coordination mechanisms implemented within these systems. In this work, we present a new inference algorithm for model parameters, called state divergence (SD) algorithm, to accurately estimate resource demands in a complex cloud application. Differently from existing approaches, SD attempts to minimize the divergence between observed and modeled marginal state probabilities for individual nodes within an application, therefore requiring the availability of probabilistic measures from both the system and the underpinning model. Validation against a case study using the Apache Cassandra NoSQL database and random experiments show that SD can accurately predict demands and improve system behavior modeling and prediction.
{"title":"SD: A Divergence-Based Estimation Method for Service Demands in Cloud Systems","authors":"Salvatore Dipietro, G. Casale","doi":"10.1109/FiCloud.2019.00035","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00035","url":null,"abstract":"Estimating performance models parameters of cloud systems presents several challenges due to the distributed nature of the applications, the chains of interactions of requests with architectural nodes, and the parallelism and coordination mechanisms implemented within these systems. In this work, we present a new inference algorithm for model parameters, called state divergence (SD) algorithm, to accurately estimate resource demands in a complex cloud application. Differently from existing approaches, SD attempts to minimize the divergence between observed and modeled marginal state probabilities for individual nodes within an application, therefore requiring the availability of probabilistic measures from both the system and the underpinning model. Validation against a case study using the Apache Cassandra NoSQL database and random experiments show that SD can accurately predict demands and improve system behavior modeling and prediction.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133239789","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：