BONSAI
cross-Border experiments for OpeN data testbedS interconnection for Atlantic Interoperability
The Next Generation Internet should support large amounts of distributed data to facilitate big data processing and storage, data platforms interconnection and information exchange which requires that aspects about data can be understood and that new ways for data management can be deployed and implement efficiently. In the EU-USA BONSAI project we focus on data frameworks interconnection and about testing new holistic methods for improving capabilities for distributed data characterization, quantification, processing and data sharing of multi-domain information. The experiments focuses on testing data modelling, data sharing and data processing functions over large collected data as part of the interconnection of multiple open data sets, including those in both sides of the Atlantic, validating the capability to share information, that will serve as a reference providing experimental evidence on platforms interconnection and data interoperability.
PROJECT OBJECTIVE
The EU-USA BONSAI project look closely to address the challenge on enabling experimentation over testing data frameworks and Interconnect data platforms on both sides of the Atlantic facilitating data sharing and interoperability, we aim to practically experiment on collected open data and use the Holistic KPI methodology making data sharing and interoperability more scalable across data testbeds and frameworks (i.e. smart city data systems) on both sides of the Atlantic as depicted in Figure 1.
The EU-USA BONSAI proposes that the use of data mashups is relevant in the objective of interconnecting data and thus together with the NIST CPS framework, the BONSAI framework using mashups builder principles facilitates the necessary validated platform interconnection of data frameworks for real data and information system(s).
EXPERIMENTS
In EU-USA BONSAI we focus on framework interconnection and testing on new holistic methods for improving capabilities for distributed data characterization, quantification, processing and sharing multi-domain information, enabling portable data services; for this purpose we aim to deploy the mashup builder framework called Super Stream Collider (SSC) a middleware tool developed and maintained by NUIG Ireland. The NUIG SSC mashup builder utilises Linked data to exchange information in an interoperable and reusable way over the Internet for data exchange. Holistic Methods for data characterisation and measuring is a novel approach for data management systems developed in the context of EU-USA NGI-Explorers collaboration program a completed and awarded project in 2020. The EU-USA BONSAI aspires to expands capabilities for supporting further testbed interconnection and data sharing. The experiments to test data sharing and the data processing functions over large collected data as part of the interconnection of multiple open data testbeds, including those in both sides of the Atlantic, that serves as a reference providing experimental evidence on platforms interconnection, data sharing and interoperability that can contribute to influence the Next Generation Internet.
The focus on proposing to use NIST Cyber Physical System (CPS) Framework is to experiment over an analytical tool and established methodology. It includes the identification of CPS domains, facets, aspects, concerns, activities, and artifacts. NIST CPS framework take into consideration the CPS frequently systems of systems (SoS) approach, and thus the architectural constructs should be able to be applied recursively or iteratively to support this nested nature of experiments using CPS principles. The NIST Cyber Physical System (CPS) framework supports the provision of accurate data descriptions to allow for flexibility in virtual system creation and adaptions.
H-KPI METHODOLOGY
The Holistic KPI method is a formal method for data sharing and interoperability designed and implemented on the NGI Explorers programme and published by NIST-US Department of Commerce under the category of Special Report. The data mashups builder (SSC) is a data processing engine build as a data system that facilitate the processing of data in the form of a continuous information flow, using the linked data principles and holistic methods providing a way for demonstration that data frameworks can be used in a sustainable manner for the Next Generation Internet of services/applications.
The H-KPI Framework is described in the recently published NIST Special Publication 1900-206 Smart Cities and Communities: A Key Performance Indicators Framework. The Framework provides the basis for developing measurement methods and tools that allow for integration, adaptability, and extensibility at three interacting levels of analysis: technologies, infrastructure services, and community benefits. The publication describes a H-KPI method which provides a structured representation of smart city/community information flows and enables computational methods for systems design, analysis, operations, and assurance. The five core metrics of the method are:
1. alignment of KPIs with community priorities across districts and neighborhoods;
2. investment alignment with community priorities;
3. investment efficiency;
4. information flow density; and
5. quality of infrastructure services and community benefits.
Applications of the H-KPI methodology include strategic planning, systems design and assurance, and operations management. The approach will benefit future efforts in the NIST smart cities and communities program including the NIST Global City Teams Challenge.
PARTICIPANTS
The EU-USA BONSAI project is coordinated by NUI Galway through the Insight-SFI Research Centre for Data Analytics, a lead institute on Data Analytics and Intelligent systems (previously Digital Enterprise Research Institute), recognised as one of the lead research institute on Semantic Web in the world that exhibits research excellence.
The National Institute of Standards and Technology (NIST) is an agency of the United States Government. NIST’s mission is to promote innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life.Participants in this project is the Smart Connected Systems Division and the Communications Technology Laboratory (CTL).