Pub Date : 2020-08-01DOI: 10.1109/COINS49042.2020.9191377
Parichehr Vahidinia, Bahareh J. Farahani, F. S. Aliee
Serverless Computing is the latest cloud computing model, which facilitates application development. By adopting and leveraging the modern paradigm of Serverless Computing, developers do not need to manage the servers. In this computational model, the executables are independent functions that are individually deployed on a Serverless platform offering instant per-request elasticity. Such elasticity typically comes at the cost of the “Cold Starts” problem. This phenomenon is associated with a delay occurring due to provision a runtime container to execute the functions. Shortly after Amazon introduced this computing model with the AWS Lambda platform in 2014, several open source and commercial platforms also started embracing and offering this technology. Each platform has its own solution to deal with Cold Starts. The evaluation of the performance of each platform under the load and factors influencing the cold start problem has received much attention over the past few years. This paper provides a comprehensive overview on the recent advancements and state-of-the-art works in mitigating the cold start delay. Moreover, several sets of experiments have been performed to study the behavior of the AWS Lambda as the base platform with respect to the cold start delay.
{"title":"Cold Start in Serverless Computing: Current Trends and Mitigation Strategies","authors":"Parichehr Vahidinia, Bahareh J. Farahani, F. S. Aliee","doi":"10.1109/COINS49042.2020.9191377","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191377","url":null,"abstract":"Serverless Computing is the latest cloud computing model, which facilitates application development. By adopting and leveraging the modern paradigm of Serverless Computing, developers do not need to manage the servers. In this computational model, the executables are independent functions that are individually deployed on a Serverless platform offering instant per-request elasticity. Such elasticity typically comes at the cost of the “Cold Starts” problem. This phenomenon is associated with a delay occurring due to provision a runtime container to execute the functions. Shortly after Amazon introduced this computing model with the AWS Lambda platform in 2014, several open source and commercial platforms also started embracing and offering this technology. Each platform has its own solution to deal with Cold Starts. The evaluation of the performance of each platform under the load and factors influencing the cold start problem has received much attention over the past few years. This paper provides a comprehensive overview on the recent advancements and state-of-the-art works in mitigating the cold start delay. Moreover, several sets of experiments have been performed to study the behavior of the AWS Lambda as the base platform with respect to the cold start delay.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114885370","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191387
Hye Won Yoon, Dong-Jun Kim, Miran Lee, Chae Weon, Anthony H. Smith
Smart farms are the future of Agriculture, which are expected to increase productivity with low-cost and high convenience. Nevertheless, farmers are skeptical of running smart farms, due to their expensiveness, inefficient energy consumption, difficult management, and potential data leakage. Many studies suggest using LoRa (Long Range), a type of LPWAN (long power wide area network) technology, which is capable of long-range with economical price and small battery consumption. However, studies overlook on how to transmit data proficiently, safely and assuredly. Therefore, this study proposes L & M Farm, a LoRa and MQTT (Message Queue Telemetry Transport) based smart farm. MQTT is a lightweight messaging protocol that guarantees the reliability and security of data while minimizing the wastage of packet space. The prototype uses two Arduino Boards with Dragino LoRa Hat, in which one is connected to the VH400 soil moisture sensor and DHT11 temperature and humidity sensor, the other connected to a solenoid valve irrigation actuator. Also, there is a Raspberry Pi irrigation node, which uses Open Weather API to get 5 days of weather data. In addition, a web-based application for farmers to conveniently manage the smart farm.
智能农场是农业的未来，它有望以低成本和高便利性提高生产力。然而，由于价格昂贵、能源消耗效率低下、管理困难以及潜在的数据泄露，农民们对运营智能农场持怀疑态度。许多研究建议使用LoRa (Long Range)技术，这是一种LPWAN (Long power wide area network)技术，能够实现长距离、经济的价格和小的电池消耗。然而，如何高效、安全、可靠地传输数据却被研究忽视了。因此，本研究提出了l&m Farm，一个基于LoRa和MQTT(消息队列遥测传输)的智能农场。MQTT是一种轻量级消息传递协议，可保证数据的可靠性和安全性，同时最大限度地减少数据包空间的浪费。原型使用两块Arduino板和Dragino LoRa Hat，其中一块连接VH400土壤湿度传感器和DHT11温湿度传感器，另一块连接电磁阀灌溉执行器。此外，还有一个树莓派灌溉节点，它使用开放天气API来获取5天的天气数据。此外，一个基于网络的应用程序，让农民方便地管理智能农场。
{"title":"L & M Farm: A Smart Farm based on LoRa & MQTT","authors":"Hye Won Yoon, Dong-Jun Kim, Miran Lee, Chae Weon, Anthony H. Smith","doi":"10.1109/COINS49042.2020.9191387","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191387","url":null,"abstract":"Smart farms are the future of Agriculture, which are expected to increase productivity with low-cost and high convenience. Nevertheless, farmers are skeptical of running smart farms, due to their expensiveness, inefficient energy consumption, difficult management, and potential data leakage. Many studies suggest using LoRa (Long Range), a type of LPWAN (long power wide area network) technology, which is capable of long-range with economical price and small battery consumption. However, studies overlook on how to transmit data proficiently, safely and assuredly. Therefore, this study proposes L & M Farm, a LoRa and MQTT (Message Queue Telemetry Transport) based smart farm. MQTT is a lightweight messaging protocol that guarantees the reliability and security of data while minimizing the wastage of packet space. The prototype uses two Arduino Boards with Dragino LoRa Hat, in which one is connected to the VH400 soil moisture sensor and DHT11 temperature and humidity sensor, the other connected to a solenoid valve irrigation actuator. Also, there is a Raspberry Pi irrigation node, which uses Open Weather API to get 5 days of weather data. In addition, a web-based application for farmers to conveniently manage the smart farm.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128743083","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191428
H. Lee, W. Jang, Hye Won Yoon, Dong-Jun Kim, Heejae Jung, Gowoon Choi, Miran Lee, Chae Weon, Anthony H. Smith
Smart farms and IoT (Internet of Things) have an inseparable relationship. Sensors, gateways, servers, databases, web-based applications, are all widely used by connected smart farms. Also, the range of communication availability, the amount of power required for communication, and required equipment are differs depending on the networking technology. Hence, the decision of networking technology is very important when implementing a smart farm. While there are many networking technologies, LoRa (Long Range) is one of the most common Low Power Wide Area Network (LPWAN) in use by smart farms in the United States. Theoretically, APRS (Automatic Packet Reporting System) can communicate at greater distances than LoRa. Therefore, the study compares the feasibility of LoRa and APRS in smart farms by measuring the distance coverage of the two networking technologies. All three tests were conducted at the Purdue Agronomy Center for Research and Education where the transmitting antennas were mobile that moved via cars, and the receiving antennas were installed at the same tower. The distances were calculated by using Google Maps, where all the locations for the transmitting points were saved. From evaluating the test results, this paper concludes that LoRa is a more feasible wireless connection than APRS in the smart farm IoT system.
{"title":"Feasibility of Networking Technology for Smart Farm: LoRa vs APRS","authors":"H. Lee, W. Jang, Hye Won Yoon, Dong-Jun Kim, Heejae Jung, Gowoon Choi, Miran Lee, Chae Weon, Anthony H. Smith","doi":"10.1109/COINS49042.2020.9191428","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191428","url":null,"abstract":"Smart farms and IoT (Internet of Things) have an inseparable relationship. Sensors, gateways, servers, databases, web-based applications, are all widely used by connected smart farms. Also, the range of communication availability, the amount of power required for communication, and required equipment are differs depending on the networking technology. Hence, the decision of networking technology is very important when implementing a smart farm. While there are many networking technologies, LoRa (Long Range) is one of the most common Low Power Wide Area Network (LPWAN) in use by smart farms in the United States. Theoretically, APRS (Automatic Packet Reporting System) can communicate at greater distances than LoRa. Therefore, the study compares the feasibility of LoRa and APRS in smart farms by measuring the distance coverage of the two networking technologies. All three tests were conducted at the Purdue Agronomy Center for Research and Education where the transmitting antennas were mobile that moved via cars, and the receiving antennas were installed at the same tower. The distances were calculated by using Google Maps, where all the locations for the transmitting points were saved. From evaluating the test results, this paper concludes that LoRa is a more feasible wireless connection than APRS in the smart farm IoT system.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788165","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191650
A. Fernández, Álvaro Souto, C. González, Roi Méndez-Rial
We develop a novel embedded vision system for online monitoring of arc welding with thermal imaging. The thermal images are able to provide clear information of the melt pool and surrounding areas during the welding process. We propose a deep learning processing pipeline with a CNNLSTM architecture for the detection and classification of defects based on video sequences. The experimental results show that the CNN-LSTM architecture is able to model the complex dynamics of the welding process and detect and classify defects with high accuracy. In addition, the embedded vision system implements an OPC-UA server, enabling an easy vertical and horizontal integration in Industry 4.0.
{"title":"Embedded vision system for monitoring arc welding with thermal imaging and deep learning","authors":"A. Fernández, Álvaro Souto, C. González, Roi Méndez-Rial","doi":"10.1109/COINS49042.2020.9191650","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191650","url":null,"abstract":"We develop a novel embedded vision system for online monitoring of arc welding with thermal imaging. The thermal images are able to provide clear information of the melt pool and surrounding areas during the welding process. We propose a deep learning processing pipeline with a CNNLSTM architecture for the detection and classification of defects based on video sequences. The experimental results show that the CNN-LSTM architecture is able to model the complex dynamics of the welding process and detect and classify defects with high accuracy. In addition, the embedded vision system implements an OPC-UA server, enabling an easy vertical and horizontal integration in Industry 4.0.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114584074","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191398
Andrea Mineo, M. Palesi, Davide Patti, V. Catania
Low Power Wide Area Networks (LPWANs) are emerging as a viable technology for facing the high-density connectivity demand for Internet of Things based devices. In particular, one of the main application scenarios is asset tracking. Thanks to the tremendous cost reduction due to cost-effective technological developments, devices that enable a low cost localization are becoming more and more popular. LPWAN technologies, such as Sigfox, are offering localization services accurate enough for most applications. Specifically, the Sigfox Monarch feature has been developed to assure that local regulations are safely applied when an asset travels from a region to another. In this sense, an energy consumption study is conducted and presented in this paper, and a cloud-based energy efficient scheme is proposed. Experimental results show how the application of the proposed scheme on a real scenario improves battery lifetime by 22%.
{"title":"Cloud-Based Energy Efficient Scheme for Sigfox Monarch as Asset Tracking Service","authors":"Andrea Mineo, M. Palesi, Davide Patti, V. Catania","doi":"10.1109/COINS49042.2020.9191398","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191398","url":null,"abstract":"Low Power Wide Area Networks (LPWANs) are emerging as a viable technology for facing the high-density connectivity demand for Internet of Things based devices. In particular, one of the main application scenarios is asset tracking. Thanks to the tremendous cost reduction due to cost-effective technological developments, devices that enable a low cost localization are becoming more and more popular. LPWAN technologies, such as Sigfox, are offering localization services accurate enough for most applications. Specifically, the Sigfox Monarch feature has been developed to assure that local regulations are safely applied when an asset travels from a region to another. In this sense, an energy consumption study is conducted and presented in this paper, and a cloud-based energy efficient scheme is proposed. Experimental results show how the application of the proposed scheme on a real scenario improves battery lifetime by 22%.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369566","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191379
Francescomaria Faticanti, Marco Savi, F. Pellegrini, Petar Kochovski, V. Stankovski, D. Siracusa
In this paper we consider the problem of initial resource selection for a single-domain fog provider lacking sufficient resources for the complete deployment of a batch of IoT applications. To overcome resources shortage, it is possible to lease assets from other domains across a federation of cloud-fog infrastructures to meet the requirements of those applications: the fog provider seeks to minimise the number of external resources to be rented in order to successfully deploy the applications’ demands exceeding own infrastructure capacity. To this aim, we introduce a general framework for the deployment of applications across multiple domains of cloud-fog providers while guaranteeing resources locality constraints. The resource allocation problem is presented in the form of an integer linear program, and we provide a heuristic method that explores the resource assignment space in a breadth-first fashion. Extensive numerical results demonstrate the efficiency of the proposed approach in terms of deployment cost and feasibility with respect to standard approaches adopted in the literature.
{"title":"Deployment of Application Microservices in Multi-Domain Federated Fog Environments","authors":"Francescomaria Faticanti, Marco Savi, F. Pellegrini, Petar Kochovski, V. Stankovski, D. Siracusa","doi":"10.1109/COINS49042.2020.9191379","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191379","url":null,"abstract":"In this paper we consider the problem of initial resource selection for a single-domain fog provider lacking sufficient resources for the complete deployment of a batch of IoT applications. To overcome resources shortage, it is possible to lease assets from other domains across a federation of cloud-fog infrastructures to meet the requirements of those applications: the fog provider seeks to minimise the number of external resources to be rented in order to successfully deploy the applications’ demands exceeding own infrastructure capacity. To this aim, we introduce a general framework for the deployment of applications across multiple domains of cloud-fog providers while guaranteeing resources locality constraints. The resource allocation problem is presented in the form of an integer linear program, and we provide a heuristic method that explores the resource assignment space in a breadth-first fashion. Extensive numerical results demonstrate the efficiency of the proposed approach in terms of deployment cost and feasibility with respect to standard approaches adopted in the literature.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114293","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191647
Günter Ehmen, Björn Koopmann, Y. Bebawy, Philipp Ittershagen
In this paper, we present a novel concept for the measurement-based online verification of timing properties in distributed systems. Based on a methodology for the consistent real-time handling in advanced driver assistance systems and automated driving functions, it incorporates a measurement infrastructure with generic interfaces, event recorders, and timing monitors generated directly from timing specifications. The primary goal is to detect specified events at subsystem interfaces and to calculate signal propagation times. Following a prototypical implementation, the accuracy of a concrete instance of our concept is evaluated. A demonstration including a realistic hardware-in-the-loop simulation proves the practical applicability and shows conceivable extensions for future activities.
{"title":"Measurement-based Online Verification of Timing Properties in Distributed Systems","authors":"Günter Ehmen, Björn Koopmann, Y. Bebawy, Philipp Ittershagen","doi":"10.1109/COINS49042.2020.9191647","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191647","url":null,"abstract":"In this paper, we present a novel concept for the measurement-based online verification of timing properties in distributed systems. Based on a methodology for the consistent real-time handling in advanced driver assistance systems and automated driving functions, it incorporates a measurement infrastructure with generic interfaces, event recorders, and timing monitors generated directly from timing specifications. The primary goal is to detect specified events at subsystem interfaces and to calculate signal propagation times. Following a prototypical implementation, the accuracy of a concrete instance of our concept is evaluated. A demonstration including a realistic hardware-in-the-loop simulation proves the practical applicability and shows conceivable extensions for future activities.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127767984","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191651
Sarvin Memarian, Bahareh J. Farahani, E. Nazemi
Social Internet of Things (SIoT) is a promising interdisciplinary paradigm where Social Networks are integrated with the Internet of Things (IoT) enabling humans and devices to interact, share information, and to autonomously establish social relationships. In this way, SIoT is divided into two components, people and things, supporting the social relationship and collaboration between things-things and things-humans. The adoption and leveraging modern paradigm of the SIoT presents several advantages, including (but not limited to) better navigability in a dynamic network of billions of devices, trust and dynamic discovery of services, higher data access, and real-time decision making much effectively. Despite the benefits, due to the all-in-one nature of SIoTs, still, there are several challenges that should be addressed. In this paper, first, we present the basis of SIoT, such as definitions, main roles, key relationships, and structures. Next, we outline the major benefits of SIoT. Finally, we discuss the major challenges of SIoT, including interoperability and autonomous computing – self-adaptation, self-organization, self-management, and selfhealing – by reviewing the recent advancements and state-of-the-art works in this emerging field.
{"title":"Social Internet of Things: Interoperability and Autonomous Computing Challenges","authors":"Sarvin Memarian, Bahareh J. Farahani, E. Nazemi","doi":"10.1109/COINS49042.2020.9191651","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191651","url":null,"abstract":"Social Internet of Things (SIoT) is a promising interdisciplinary paradigm where Social Networks are integrated with the Internet of Things (IoT) enabling humans and devices to interact, share information, and to autonomously establish social relationships. In this way, SIoT is divided into two components, people and things, supporting the social relationship and collaboration between things-things and things-humans. The adoption and leveraging modern paradigm of the SIoT presents several advantages, including (but not limited to) better navigability in a dynamic network of billions of devices, trust and dynamic discovery of services, higher data access, and real-time decision making much effectively. Despite the benefits, due to the all-in-one nature of SIoTs, still, there are several challenges that should be addressed. In this paper, first, we present the basis of SIoT, such as definitions, main roles, key relationships, and structures. Next, we outline the major benefits of SIoT. Finally, we discuss the major challenges of SIoT, including interoperability and autonomous computing – self-adaptation, self-organization, self-management, and selfhealing – by reviewing the recent advancements and state-of-the-art works in this emerging field.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116270","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 : 2020-08-01DOI: 10.1109/COINS49042.2020.9191685
Amir Sinaeepourfard, J. Krogstie, Torbjørn Kirkevik Soltvedt, Thomas Skuggevik
A smart city has changed the city landscape with the assistance of ICT, and sensor-enabled internet of things (IoT) devices. The development of a ubiquitous connected source environment is to be complicated and global to improve service performance delivery, cost-effectiveness, and using all capabilities of technology resources. For gaining those benefits in the smart city, it is necessary to design a capable ICT architecture. The ICT architecture in the smart city must provide the facility to organize all technology resources, the produced data, network communication orchestration, and services in the large scale of smart cities. In today’s smart cities, three main different ICT architecture proposals are available, Centralized, Decentralized-to-Centralized, and Distributed-to-Centralized. Centralized ICT architectures are designed based on Cloud technologies. The Decentralized-to-Centralized and Distributed-to-Centralized ICT architectures are using the multiple facilities from the joined benefits of edge to Cloud technologies orchestration. In this paper, we first describe these three ICT architectures in smart cities. Besides, we present our proposed Decentralized-to-Centralized and Distributed-to-Centralized ICT architectures in smart cities. Second, we show how our ICT architecture can be beneficial for Large-Scale ICT management through different use case studies. Finally, we describe the advantages of our ICT architecture and discuss challenges.
{"title":"Large-Scale Information and Communications Technology (ICT) Management in Smart Cities based on Edge to Cloud Orchestration","authors":"Amir Sinaeepourfard, J. Krogstie, Torbjørn Kirkevik Soltvedt, Thomas Skuggevik","doi":"10.1109/COINS49042.2020.9191685","DOIUrl":"https://doi.org/10.1109/COINS49042.2020.9191685","url":null,"abstract":"A smart city has changed the city landscape with the assistance of ICT, and sensor-enabled internet of things (IoT) devices. The development of a ubiquitous connected source environment is to be complicated and global to improve service performance delivery, cost-effectiveness, and using all capabilities of technology resources. For gaining those benefits in the smart city, it is necessary to design a capable ICT architecture. The ICT architecture in the smart city must provide the facility to organize all technology resources, the produced data, network communication orchestration, and services in the large scale of smart cities. In today’s smart cities, three main different ICT architecture proposals are available, Centralized, Decentralized-to-Centralized, and Distributed-to-Centralized. Centralized ICT architectures are designed based on Cloud technologies. The Decentralized-to-Centralized and Distributed-to-Centralized ICT architectures are using the multiple facilities from the joined benefits of edge to Cloud technologies orchestration. In this paper, we first describe these three ICT architectures in smart cities. Besides, we present our proposed Decentralized-to-Centralized and Distributed-to-Centralized ICT architectures in smart cities. Second, we show how our ICT architecture can be beneficial for Large-Scale ICT management through different use case studies. Finally, we describe the advantages of our ICT architecture and discuss challenges.","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422628","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 : 2020-08-01DOI: 10.1109/coins49042.2020.9191369
{"title":"COINS 2020 Index","authors":"","doi":"10.1109/coins49042.2020.9191369","DOIUrl":"https://doi.org/10.1109/coins49042.2020.9191369","url":null,"abstract":"","PeriodicalId":350108,"journal":{"name":"2020 International Conference on Omni-layer Intelligent Systems (COINS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132773131","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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