Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus
Energy Internet (EI) is a revolution of power systems due to its flexible energy control. The smart meters are the key components in EI which perform real-time monitoring and require high demands on quality of services (QoSs). Besides, due to the great performance on resolving device-interconnecting...
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doaj-039bf2b2cbd04bd5873948c293d7b99f2021-04-02T11:40:37ZengWileyIET Cyber-Physical Systems2398-33962018-10-0110.1049/iet-cps.2017.0100IET-CPS.2017.0100Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculusLina Huang0Yi Liu1Jun Wu2Gaolei Li3Gaolei Li4Jianhua Li5Shanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityEnergy Internet (EI) is a revolution of power systems due to its flexible energy control. The smart meters are the key components in EI which perform real-time monitoring and require high demands on quality of services (QoSs). Besides, due to the great performance on resolving device-interconnecting and realising overall network control, software-defined networks (SDNs) are considered as a trend for future EI. However, most existing software-defined EI have all the data processed at SDN controller which makes it difficult to realise fine-grained and deep edge computation and control. Meanwhile, most existing QoS provisioning cannot provide satisfying service for EI because various metering data from smart meters require different time-variant QoS guarantees. To address above challenges, the authors propose a software-defined dynamic QoS provisioning for smart metering in EI using fog computing and network calculus (NC). First, a software-defined EI architecture, where fogs are deployed on smart meters and base stations to realise edge services, is proposed to perform deep edge control in EI. Second, the software-defined dynamic QoS provisioning based on NC theory is proposed to guarantee QoS. Simulations of latency as well as bandwidth utilisation show the advantages of the proposed scheme.https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0100quality of servicesoftware defined networkingInternettelecommunication power managementcloud computingmeteringsmart meterssmart meteringsoftware-defined dynamic QoS provisioningenergy Internetfog computingNCquality of servicessoftware-defined networksSDN controllernetwork calculussmart metersbase stationsedge servicesbandwidth utilisation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lina Huang Yi Liu Jun Wu Gaolei Li Gaolei Li Jianhua Li |
spellingShingle |
Lina Huang Yi Liu Jun Wu Gaolei Li Gaolei Li Jianhua Li Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus IET Cyber-Physical Systems quality of service software defined networking Internet telecommunication power management cloud computing metering smart meters smart metering software-defined dynamic QoS provisioning energy Internet fog computing NC quality of services software-defined networks SDN controller network calculus smart meters base stations edge services bandwidth utilisation |
author_facet |
Lina Huang Yi Liu Jun Wu Gaolei Li Gaolei Li Jianhua Li |
author_sort |
Lina Huang |
title |
Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus |
title_short |
Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus |
title_full |
Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus |
title_fullStr |
Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus |
title_full_unstemmed |
Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus |
title_sort |
software-defined dynamic qos provisioning for smart metering in energy internet using fog computing and network calculus |
publisher |
Wiley |
series |
IET Cyber-Physical Systems |
issn |
2398-3396 |
publishDate |
2018-10-01 |
description |
Energy Internet (EI) is a revolution of power systems due to its flexible energy control. The smart meters are the key components in EI which perform real-time monitoring and require high demands on quality of services (QoSs). Besides, due to the great performance on resolving device-interconnecting and realising overall network control, software-defined networks (SDNs) are considered as a trend for future EI. However, most existing software-defined EI have all the data processed at SDN controller which makes it difficult to realise fine-grained and deep edge computation and control. Meanwhile, most existing QoS provisioning cannot provide satisfying service for EI because various metering data from smart meters require different time-variant QoS guarantees. To address above challenges, the authors propose a software-defined dynamic QoS provisioning for smart metering in EI using fog computing and network calculus (NC). First, a software-defined EI architecture, where fogs are deployed on smart meters and base stations to realise edge services, is proposed to perform deep edge control in EI. Second, the software-defined dynamic QoS provisioning based on NC theory is proposed to guarantee QoS. Simulations of latency as well as bandwidth utilisation show the advantages of the proposed scheme. |
topic |
quality of service software defined networking Internet telecommunication power management cloud computing metering smart meters smart metering software-defined dynamic QoS provisioning energy Internet fog computing NC quality of services software-defined networks SDN controller network calculus smart meters base stations edge services bandwidth utilisation |
url |
https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0100 |
work_keys_str_mv |
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