Arrowhead compliant virtual market of energy

Ferreira, Luís Lino; Šikšnys, Laurynas; Pedersen, Per D.; Stluka, Petr; Chrysoulas, Christos; Guilly, Thibaut Le; Albano, Michele; Skou, Ame; Teixeira, Carla; Pedersen, Torben Bach

doi:10.1109/etfa.2014.7005193

Cited by 19 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The example discussed in this section is part of the Arrowhead project [29], which addresses the energy and competitiveness challenges by studying new dynamic interactions between energy producers and energy consumers, machines, people and systems. Arrowhead bases its architecture on a Service-Oriented Architecture, which is regarded as a suitable paradigm for collaborative automation in an opennetwork environment connecting large quantities of embedded devices [30].…”

Section: Example Of An Xmpp Based Systemmentioning

confidence: 99%

Message-oriented middleware for smart grids

Albano

Ferreira

Pinho

et al. 2015

Computer Standards & Interfaces

Self Cite

View full text Add to dashboard Cite

Section: Example Of An Xmpp Based Systemmentioning

confidence: 99%

Message-oriented middleware for smart grids

Albano

Ferreira

Pinho

et al. 2015

Computer Standards & Interfaces

Self Cite

View full text Add to dashboard Cite

“…The QoS architecture presented in the paper consists of the following components: the Aggregator [4], the Aggregator Agent (AA), the Prosumer/User [4], the Flex-Offer Agent (FOA) [4], the QoS Agent, the Aggregator Registration, and databases: to store information regarding the Prosumers/Users, the Contracts (closed, served, etc. ), and information regarding the available Aggregators and their characteristics.…”

Section: Proposed Qos Architecturementioning

confidence: 99%

“…(2) for (k = 1; Lk != ∅; k++) do begin (3) Ck+1 = candidates generated from Lk; (4) for each transaction t in database do (5) increment the count of all candidates in (6) Ck+1 that are contained in t (7) Lk+1 = candidates in Ck+1 with min_support (8) end (9) return ∪kLk;…”

Section: Algorithm1 the Apriori Algorithmmentioning

confidence: 99%

Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid

Chrysoulas

Fasli

2017

JCOMSS

Self Cite

View full text Add to dashboard Cite

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. The aforementioned approach is well supplemented with a data analytics/machine learning architecture to further enrich the provisioning aspect this work is bringing to the Smart Grid market of energy.

show abstract

“…The QoS part architecture presented in the [36] consists of the following components: The Aggregator [4] Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture 6 Aggregator Agent (AggA), the Prosumer/User [4], the Flex-Offer Agent (FOA) [4], the QoS Agent, the Aggregator Registration, and databases: to store information regarding the Prosumers/Users, the Contracts (closed, served, etc. ), and information regarding the available Aggregators and their characteristics.…”

Section: Proposed Architecturementioning

confidence: 99%

Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture

Chrysoulas¹,

Pitropakis²

2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

View full text Add to dashboard Cite

QoS and Security features are playing an important role in modern network architecures. 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, 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. The aforementioned approach is well supplemented with an in depth analysis on existing authentication and authorization protocols. The authors believe that QoS and security can work in parallel without adding extra burden in the Smart Grid infrastructure. This is feasible by building an in advance system for placing, scheduling, and assigning of the requests for energy consumption or production, thus decongesting the traffic in the whole network.

show abstract

Arrowhead compliant virtual market of energy

Cited by 19 publications

References 9 publications

Message-oriented middleware for smart grids

Message-oriented middleware for smart grids

Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid

Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture

Contact Info

Product

Resources

About