A service oriented QoS architecture targeting the smart grid world & machine learning aspects

Conference paper

Chrysoulas, C and Fasli, M (2016). A service oriented QoS architecture targeting the smart grid world & machine learning aspects. 2016 International Multidisciplinary Conference On Computer And Energy Science (SpliTech). Split, Croatia 13 - 15 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SpliTech.2016.7555923
AuthorsChrysoulas, C and Fasli, M
TypeConference paper
Abstract

© 2016 University of Split, FESB. Dynamic selection of services and by extension of service providers are vital in today's liberalized market of energy. On the other hand it is equally important for Service Providers to spot the one QoS Module that offers the best QoS level in a given cost. Type of service, response time, throughput, availability and cost, consist a basic set of attributes that should be taken into consideration when building a concrete Grid network. In the proposed QoS architecture Prosumers request services based on the aforementioned set of attributes. The Prosumer requests the service through the QoS Module. It is then the QoS Module that seeks the Service Provider that best fits the needs of the client.

KeywordsQoS; Service Oriented Architecture; Smart Grid; Machine Learning
Year2016
Journal2016 International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Digital Object Identifier (DOI)https://doi.org/10.1109/SpliTech.2016.7555923
Accepted author manuscript
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File Access Level
Open
Publication dates
Print29 Aug 2016
Publication process dates
Deposited17 May 2018
Accepted13 Jul 2016
ISBN9789532900637
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https://openresearch.lsbu.ac.uk/item/8729w

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07555923.pdf
License: CC BY 4.0
File access level: Open

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