Modeling and evaluating a complex edge computing based systems: An emergency management support system case study

d’Oro, Edoardo Cavalieri; Colombo, Simone; Gribaudo, Marco; Iacono, Mauro; Manca, Davide; Piazzolla, Pietro

doi:10.1016/j.iot.2019.100054

Cited by 15 publications

(6 citation statements)

References 19 publications

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“…Cloud computing is also being used to build emergency systems, d 'Oro et al (2019) built a novel architecture based on cloud computing and Internet of things technology to solve the problems of response capacity, bandwidth demand, privacy, and availability in emergency systems. After verification, it is found that the structure of the system has high security and reliability [18]. Facchinetti et al (2019) proposed a software system for indoor emergency response management based on mobile cloud.…”

Section: B Research Status Of Cloud Computing Technologymentioning

confidence: 99%

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Chen¹,

Chen²,

Li³

et al. 2021

IEEE Access

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To solve the problems of slow information acquisition, low processing efficiency, weak information storage and communication ability in earthquake rescue, an earthquake emergency command system on the basis of cloud computing and Internet of Things (IoT) is designed. First, the cloud computing technology is introduced, and the traditional earthquake emergency command system built by cloud computing and the Internet of things is analyzed. Then, based on the satellite remote sensing data, the characteristics of the middle-wave infrared remote sensing data before and after the recent earthquakes in China are explored. Subsequently, a new earthquake emergency command system is built based on cloud computing and Internet of things technology along with the data from the satellite middle-wave infrared remote sensing. Finally, the feasibility of the system is evaluated. The results show that the surface radiation changes significantly before the earthquake, the infrared brightness temperature difference value also fluctuates violently, and the abnormal area will gradually get closer to the epicenter as time goes by. The peak value of the relative power spectrum in the earthquake is more than 9 times of the average value in the normal time. In conclusion, the evaluation result of the emergency command system based on satellite remote sensing data, cloud computing, and Internet of things is good, suggesting satellite infrared remote sensing data can be applied to earthquake prediction, and the earthquake emergency command system constructed combining cloud computing and Internet of things technology has a good feasibility.

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Section: B Research Status Of Cloud Computing Technologymentioning

confidence: 99%

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Chen¹,

Chen²,

Li³

et al. 2021

IEEE Access

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“…Another example is provided by emergency management systems, in which the IoT network is meant to support operations and safety of operators and other subjects may depend on the lifetime of the network, that allows a real-time situation about the target locations or physical infrastructures where the emergency situation arises, such as the case of an extended fire to be managed in a large industrial complex or in a skyscraper. This paper applies to IoT and edge computing based emergency management systems as presented in previous works [Campanile et al, 2020a], [De Arcangelis et al, 2020], [Campanile et al, 2020b] and [Cavalieri d'Oro et al, 2019].…”

Section: Application Contextmentioning

confidence: 99%

Toward a Fuzzy-based Approach for Computational Load Offloading of IoT Devices

Campanile¹,

Iacono²,

Marulli³

et al. 2020

jucs

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Technological development and market expansion offer an increased availability of resources and computing power on IoT nodes at affordable cost. The edge computing paradigm allows keeping locally on the edge of the network a part of computing, while keeping all advantages of the cloud and adding support for privacy, real-time and network resilience. This can be further improved in IoT applications by exibly harvesting resources on IoT nodes, by moving part of the computing tasks related to data from the edge server to the nodes, raising the abstraction level of the data aspects of the architecture and potentially enabling larger IoT networks to be efficiently deployed and managed, in a stand-alone logic or as a component of edge architecture. Anyway, an e_cient energy management mechanism is needed for battery powered IoT networks, the most exible implementations, that dynamically balances task allocation and execution in order to In this paper we present a fuzzy logic based power management strategy for IoT subsystem that aims at maximizing the duration of the network by locally migrating part of the computing tasks between nodes. As our goal is to enable the deployment of semi-autonomic large IoT networks, our proposal does not rely on external resources for migration control and operates on a local basis to ensure scalability: at the best of our knowledge, this differentiates our proposal with respect to similar solutions available in literature.

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“…On the one hand, some solutions based on the modeling and evaluation of emergency management support system has been created. In the work of d'Oro et al, 8 a use of case based on a complex edge computing is proposed. On the other hand, multiple solutions based on Wi-Fi Direct have been proposed, such as that in the work of Motta and Pasquale, 9 where the potential of Wi-Fi Direct in the implementation of mobile P2P systems is evaluated.…”

Section: Related Workmentioning

confidence: 99%

Using blockchain in the follow‐up of emergency situations related to events

et al. 2019

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This paper describes a decentralized low-cost system designed to reinforce personal security in big events in case of emergency. The proposal consists of using smart contracts supported by blockchain in the management of events.An alternative communication channel that does not require any cloud service is also provided with the aim of improving the coordination of emergency services. Peers may use this emergency support tool to interact with each other through a chat when additional support is required. Since information security is mandatory in this scenario, identity-based signcryption schemes are here used to guarantee communication confidentiality, authenticity, and integrity.Depending on the communication mode (peer-to-peer or broadcast), different signcryption methods are used. A first implementation of the proposal has produced promising results.

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Modeling and evaluating a complex edge computing based systems: An emergency management support system case study

Cited by 15 publications

References 19 publications

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Toward a Fuzzy-based Approach for Computational Load Offloading of IoT Devices

Using blockchain in the follow‐up of emergency situations related to events

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