Enabling stream processing for people-centric IoT based on the fog computing paradigm

Amaxilatis, Dimitrios; Akrivopoulos, Orestis; Chatzigiannakis, Ioannis; Tselios, Christos

doi:10.1109/etfa.2017.8247674

Cited by 14 publications

(11 citation statements)

References 16 publications

(12 reference statements)

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“…Alternatively, by adopting the Fog computing paradigm, see e.g. [ 19 ], separate virtual machines can be distributed to each building that act as the IoT gateways and accomodate the needs of each separate building without increasing the overall costs of the cloud infrastructure.…”

Section: Discussionmentioning

confidence: 99%

“…In [ 18 ] the benefits of this approach is demonstrated for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming, while introducing new open issues. A system for monitoring the performance of buildings that follows the Fog Computing paradigm where the sensor resources, as well as the intermediate layers between embedded devices and cloud computing datacenters, participate by providing computational, storage, and control is provided in [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

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An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency

Amaxilatis

Akrivopoulos²,

Mylonas

et al. 2017

Sensors

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Raising awareness among young people and changing their behaviour and habits concerning energy usage is key to achieving sustained energy saving. Additionally, young people are very sensitive to environmental protection so raising awareness among children is much easier than with any other group of citizens. This work examines ways to create an innovative Information & Communication Technologies (ICT) ecosystem (including web-based, mobile, social and sensing elements) tailored specifically for school environments, taking into account both the users (faculty, staff, students, parents) and school buildings, thus motivating and supporting young citizens’ behavioural change to achieve greater energy efficiency. A mixture of open-source IoT hardware and proprietary platforms on the infrastructure level, are currently being utilized for monitoring a fleet of 18 educational buildings across 3 countries, comprising over 700 IoT monitoring points. Hereon presented is the system’s high-level architecture, as well as several aspects of its implementation, related to the application domain of educational building monitoring and energy efficiency. The system is developed based on open-source technologies and services in order to make it capable of providing open IT-infrastructure and support from different commercial hardware/sensor vendors as well as open-source solutions. The system presented can be used to develop and offer new app-based solutions that can be used either for educational purposes or for managing the energy efficiency of the building. The system is replicable and adaptable to settings that may be different than the scenarios envisioned here (e.g., targeting different climate zones), different IT infrastructures and can be easily extended to accommodate integration with other systems. The overall performance of the system is evaluated in real-world environment in terms of scalability, responsiveness and simplicity.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency

Amaxilatis

Akrivopoulos²,

Mylonas

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Interactive learning will become easy with the use of fog in IoT system. The textbooks will be linked with the web-based sites so that it becomes easy to offer better learning materials towards the students [52]. The study material includes animated videos, assessment, videos, and other materials for enhancing the learning process [53].…”

Section: Fog Computing In Education Iot Systemsmentioning

confidence: 99%

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

Adel

2020

J Big Data

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Fog computing architecture is referred to the architecture that is distributed over the geographical area. This architectural arrangement mainly focuses on physical and logical network elements, and software for the purpose of implementing proper network. Fog computing architecture allows the users to have a flexible communication and also ensures that the storage services are maintained efficiently for the purpose of managing the data. However, it has been observed that in the field of education fog computing architecture has gained huge importance due to its real time application feature. The main objective of the survey is to develop a systematic literature review for the technology of fog computing in the education IoT system. The survey will also focus on evaluating the essential factors that has a crucial role in the fields of education as well as investigating the limitation and findings associated with the fog computing technologies in educational systems from the perspective of privacy, security, and agility.

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“…To the contrary, Fog computing appears to be more focused on real-world IoT deployment requirements by engaging both edge and core networking components as computational infrastructure, thus allowing a huge number of sensors/devices to be simultaneously monitored [10]. As a consequence, multi-tier application deployment becomes easier, obtained datasets are stored and processed closer to the original source [11], [12], leading to minimized service delivery latency which is essential in real-time and near realtime use cases.…”

Section: Fundamental Attributes Of Fog Computingmentioning

confidence: 99%

On the Design of a Fog Computing-Based, Driving Behaviour Monitoring Framework

Amaxilatis¹,

Tselios

Akrivopoulos³

et al. 2019

2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Recent technological improvements in vehicle manufacturing may greatly improve safety however, the individuals' driving behaviour still remains a factor of paramount importance with aggressiveness, lack of focus and carelessness being the main cause of the majority of traffic incidents. The imminent deployment of 5G networking infrastructure, paired with the advent of Fog computing and the establishment of the Internet of Things (IoT) as a reliable and cost-effective service delivery framework may provide the means for the deployment of an accurate driving monitoring solution which could be utilized to further understand the underlying reasons of peculiar road behaviour, as well as its correlation to the driver's physiological state, the vehicle condition and certain environmental parameters. This paper presents some of the fundamental attributes of Fog computing along with the functional requirements of a driving behaviour monitoring framework, followed by its high level architecture blueprint and the description of the prototype implementation process.

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Enabling stream processing for people-centric IoT based on the fog computing paradigm

Cited by 14 publications

References 16 publications

An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency

An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

On the Design of a Fog Computing-Based, Driving Behaviour Monitoring Framework

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