About

Systems and Services Engineering Analytics (SEA) Group concentrates and consolidates research activities, resources, results, and collaborations on Systems, Software and Data Service Engineering Analytics.

Engineering Analytics

Engineering analytics is concerned with the techniques and tools for desiging, monitoring, analyzing, and optimizing functions, performance, data quality, elasticity, and uncertainties associated with systems, software, data and services. . In our work, we focus on engineering analytics for: Systems (IoT, Cloud, and Edge Systems), Software (Middleware, Protocols, and Tools) , Data (Processing Models and Analytics), Services (Data Marketplace, Service Models, APIs, and Configuration). We apply our engineering analytics techniques to various applications, including smart cities, smart agriculture, enterprises, e-science, logistics, robotics, and e-health.

Systems

we focus on emerging complex distributed systems covering cloud systems, IoT, edge/fog systems, cyber-physical systems and social-cyber-physical systems. Some of our novel concepts are elastic systems, IoT Cloud systems and the ensembles of IoT, Cloud and Networks

Software

We focus on system software, middleware, tools and applications in the IoT, cloud, edge/fog, cyber-physical systems, and social-cyber-physical systems. Application domains are smart agriculture, smart city, e-science, and industrial internet. Some recent tools are IoT management, Uncertainty Testing for CPS

Data

We focus on data models and data analytics, including various types of data in complex distributed systems that are gathered, processed and provisioned under different services. Some our novel concepts are elastic data analytics

Services

Services offer functions built on capabilities of the above-mentioned systems, software and data. We focus on novel technical service models (data-as-a-service, IoT services, e-science services, and several application-specific services), service API and execution management, and dynamic business models (e.g. pay-per-use) for consumers. Some of our novel conconcepts are Data-as-a-Service, data contracts for data marketplaces, human sensing data marketplace, and IoT data marketplaces

PhD Students

Master Students

  • Daniel Hopfer: Data lake for cloud forensics (TU Wien)
  • Filip Rydzi: Blockchain and edge services (TU Wien)

Current visitors

Adrian Orive Oneca (IKERLAN)

Past visitors

Liang Zhang (Fudan University), The-Vu Tran (Da Nang University), Huu-Hung Huynh (Da Nang University), Nam Huynh (HoChiMinh City University of Technology)

Past members

Postdocs: Dr. Bunjamin Memishi, Dr. Luca Berardinelli, Dr. Georgiana Copil, Dr. Daniel Moldovan,
Master Students: Michael Hammerer, Lingfan Gao, Juraj Cik, Florin Balint, Manfred Halper, Matthias Karan, Peter Klein

Results

Our GitHub prototypes: https://github.com/rdsea

Our Docker Hub: https://hub.docker.com/u/rdsea/

Concepts & Prototypes

Publications & Theses

See our full list here. Recent 3 last publications:

Events & News

15 October 2018

ACM IoT 2018

We gave a tutorial on dynamic solutions for IoT interoperability at ACM IoT 2018

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19-20 Aug 2016

Talk at Workshop on IoT/Cloud-based CPS at Fudan University, Shanghai, China

Luca Berardinelli gives a talk about Modeling, Provisioning, Deployment of IoT/Cloud-based CPS at Fudan University, Shanghai, China Aug 19-20 2016.

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13 June 2017

Ericsson R & D Bangalore

We talk about Resource Slices of IoT, network functions, and cloud and their uncertainties and testing

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