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Monday, 26 September, 2022 - 09:00 to Wednesday, 28 September, 2022 - 18:00
Alès, France

PolicyCloud is taking part in the 2022 edition of the IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) will be held in Alès, France.

DS-RT 2022 serves as a forum for simulationists from academia, industry and research labs, for presenting recent research results in Distributed Simulation and Real Time Applications. DS-RT 2022 targets the growing overlap between large distributed simulations and real time applications, such as mirror world simulations and collaborative virtual environments.

The conference features prominent invited speakers as well as papers by top researchers in the field. DS-RT 2022 will include contributed technical papers, invited papers, and panel discussions. The proceedings will be published by IEEE-CS press.

This event is a wonderful opportunity to join the community of experts on related topics, share experiences, and have fruitful discussions.

Panayiotis A Michael (National Technical University of Athens & University of California Los Angeles, Greece); Panayiotis Tsanakas (National Technical University of Athens, Greece); D. Stott Parker (University of California, Los Angeles, USA) are presenting the latest PolicyCloud paper on the 2nd day of the symposium during the Real-time session at 15:30 CEST, tackling "A Large-Scale, End-to-End Synchronous, Distributed Data Stream Processing Architecture for Time-Sensitive Applications".

Recent research works when benchmarking Data Stream Processing and IoT platforms, report latencies on the order of tens of seconds and thus they are not suited for time-critical applications. Such platforms mainly use loosely coupled components with asynchronous communication. In this work, we present an alternative novel approach. We propose a novel End-to-End Synchronous, Distributed Architecture for Large-Scale, High-Bandwidth, Ultra-Low Latency Data Stream Processing which achieves latencies on the order of milliseconds. Through our Big Data Stream analysis experiments performed over the ARIS High Performance Computing facility of the National Infrastructures for Research and Technology S.A. (GRNET S.A.) - an EGI Council Participant, we have demonstrated the suitability of our architecture for time-sensitive applications.

Scientific publication and the presentation will be provided soon in this publication section.