Chimp: Efficient Lossless Floating Point Compression for Time Series Databases

1 code implementation • Proceedings of the VLDB Endowment 2022 • Panagiotis Liakos, Katia Papakonstantinopoulou, Yannis Kotidis

Our experimental evaluation demonstrates that our approach readily outperforms competing techniques, attaining compression ratios that are competitive with slower general purpose algorithms, and on average around 50% of the space required by state-of-the-art streaming approaches.

Astronomy Time Series

Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)

no code implementations • 18 Jul 2016 • Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür Özcep, Christoforos Svingos, Dmitriy Zheleznyakov, Sebastian Brandt, Ian Horrocks, Yannis Ioannidis, Steffen Lamparter, Ralf Möller

Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens.