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.
Original language | English |
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DOIs | |
Publication status | Published - 29 Aug 2016 |
Externally published | Yes |
Event | 2016 International Multidisciplinary Conference On Computer And Energy Science (SpliTech) - Duration: 29 Aug 2016 → … |
Conference
Conference | 2016 International Multidisciplinary Conference On Computer And Energy Science (SpliTech) |
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Period | 29/08/16 → … |
Keywords
- Machine Learning
- Smart Grid
- Service Oriented Architecture
- QoS