FlameStream: Model and Runtime for Distributed Stream Processing

I. Kuralenok; Trofimov A.; Marshalkin N.; B. Novikov

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October 14, 2026

At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage

Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.

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Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

October 8, 2026

HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club

The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

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Publications

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FlameStream: Model and Runtime for Distributed Stream Processing

P. 8:1–8:2.

Kuralenok I., Trofimov A., Marshalkin N., Novikov B.

Exactly-once semantics without high latency overhead is still hard to achieve within state-of-the-art stream processing systems.We introduce a model providing for exactly-once using lightweight optimistic approach for obtaining determinism and idempotence. We show its feasibility with a prototype.

Language: English

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Keywords: Data streams

In book

Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond

ACM, 2018.

Deterministic Model for Distributed Speculative Stream Processing

Kuralenok I., Trofimov A., Marshalkin N. et al., , in: Lecture Notes in Computer ScienceVol. 11019: Advances in Databases and Information Systems .: Springer, 2018. P. 233–246.

Users of modern distributed stream processing systems have to choose between non-deterministic computations and high latency due to a need in excessive buffering. We introduce a speculative model based on MapReduce-complete set of operations that allows us to achieve determinism and low-latency. Experiments show that our prototype can outperform existing solutions due to low overhead ...

Added: February 13, 2019