Invited talks at IEEE Big Data conference 2018
Excellent news to share! DataBench will be present at Bench 2018 and BPOD 2018 during the upcoming IEEE Big Data conference 2018 in Seattle (10-13 December) with two invited talks. Arne Berre, SINTEF, will present the DataBench Framework and the project work in supporting the Benchmarking Community.
2018 International Symposium on Benchmarking, Measuring and Optimizing (Bench’ 18)
Title: Benchmarking for Digital Platforms with Big Data, IoT, AI, Cloud, HPC and CyberSecurity
The European Big Data Value Association (BDVA) has created a reference model for big data and digital platforms that identifies a number of technical areas relevant for benchmarking and standardisation within Big data and AI, such as data management, data processing, data protection, data analytics with machine learning and AI, and data visualisation.
The reference model shows the relationships to related boundary areas and organisations, such IoT with the Alliance of Internet of Things Innovation (AIOTI), Cloud with the Networked Software and Services Initiative (NESSI), HPC with the European Technology Platform for High Performance Computing (ETP4HPC) and CyberSecurity with the European CyberSecurity Organisation (ECSO).
The European Horizon 2020 project DataBench aims at supporting a Benchmarking Community of existing benchmarks and benchmarking initiatives that together can be a foundation for both business oriented and technical benchmarks within the digital platforms areas of Big Data and AI.
Second IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2018)
Title: Benchmarking for Big Data Applications with the DataBench Framework
The European Horizon 2020 project DataBench aims at supporting both business benchmarking and technical benchmarking for big data technologies and applications. The approach for this is to leverage on existing benchmarks related through a framework based on the European Big Data Value Association (BDVA) reference model. This has been used to classify and structure existing benchmarks to make these easier to choose and apply dependent on different business and application requirements.
Dr. Arne Berre is working with Digital Platforms and Systems Interoperability, with focus on Big Data and Cloud/HPC processing support for Analytics/AI/Machine Learning. He is Chief Scientist at SINTEF Digital, Department for Software and Service Innovation, Group for Smart Data in Oslo, Norway and the leader of European BDVA (Big Data Value Association) TF6 Technical Priorities, GEMINI Center for Big Data with SINTEF, NTNU and the University of Oslo. He is the Norwegian representative to the Big Data group within ISO JTC1/SC42 Artificial Intelligence. He was responsible for the HyperModel Benchmark as one of the earlier benchmarks for object-oriented and graph-oriented databases.