Name: Hierarchical Billing & Democratization in IoT
Start: 2017-07-20T18:30:00+02:00
End: 2017-07-20T21:30:00+02:00
Location: Toni-Areal

Two talks on future cloud applications given by competent speakers with a research background in their respective domains of billing and decentralised systems. Both are centered around data usage analysis of on-demand utility services but from different angles and with different motivation. An excellent opportunity to see cool technology during a hot summer!

18.30: Cyclops 3.0 - hierarchical billing made simple for future cloud applications (Piyush Harsh, ZHAW SPLab)

This talk will cover the just released version 3.0 of open source billing framework Cyclops, focusing on architectural changes, performance evaluation and built in resiliency through out new deployment strategy which exploits advance features of Docker containers with swarm. The talk will go over steps needed for writing your own application collectors and how to configure pricing and billing rules for seamless billing run with Cyclops. We will explore some of the more advances features such as hierarchical billing and how to integrate with an existing CRM or invoice settlement tool. The talk will show how Cyclops make future cloud applications readily billable thereby helping companies optimise their revenue lines.

19.00: Engineering Democratization in Internet of Things Data Analytics (Evangelos Pournaras, ETH Zürich)

The pervasiveness of Internet of Things devices in techno-socio-economic domains such as Smart Cities and Smart Grids results in a massive scale of data about our society. Decision-making by system operators or policy-makers requires a sophisticated understanding of these data with real-time data analytics methods. However, common data analytics methods often serve exclusively corporate and commercial interests and result in privacy-intrusion, surveillance, profiling and discriminatory actions. This paper illustrates an alternative data analytics ap- proach that relies on participatory citizens to contribute Internet of Things data and crowdsourced computational resources in order to compute aggregation functions in a collective fashion. This democratization calls for a fully decentralized and privacy-preserving system design with which a local data management mechanism implemented in smart phones can guarantee highly accurate computations under highly dynamic data streams. Experimental evaluation with real-world Smart Grid data illustrates the performance trade-offs and shows how they can be managed in an automated and empirical way using decision trees.

19.30: Discussion, food, drinks

Best arrival with Tram 4 to stop Toni-Areal directly in front of the building. https://www.öpnvkarte.de/#8.5105;47.3903;18

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