About

Service Engineering Analytics - (SEA) - Team concentrates and consolidates research activities, resources, results, and collaborations on Systems, Software and Data Service Engineering Analytics carried out under the lead of Hong-Linh Truong at The Distributed Group Systems, TU Wien.

Service 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.
We also work on Service Engineering Analytics of Hybrid Computing Systems in which humans play a crucial role in machine-human computation loops.
Many results of our research are reflected in our Advanced Services Engineering course for PhD/Master students at TU Wien and the Distributed Systems Technologies course for master studies.

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

Postdocs

PhD Students

Master Students

  • Manfred Halper: Identification and Analysis of Incidents in Cloud Services
  • Peter Klein: working on IoT software units and execution management
  • Christian Proinger: Resource slice monitoring
  • Daniel Hopfer: Data lake for cloud forensics
  • Lingfan Gao: IoT, Network Functions and Cloud Testing

Past members

Postdocs: Dr. Georgiana Copil, Dr. Daniel Moldovan,
Master Students: Juraj Cik, Florin Balint

Results

Concepts & Prototypes

Publications

See our full list here. Recent publications:

Events & News

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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11 October 2016

ICSOC 2016

We presented and discussed our extensive experiences in service analytics for IoT cloud systems

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