What are the performance implications of using lossless compression in analytical databases?

Aug 5, 2016 ... gzip and xz uses two different algorithms, and therefore they perform differently, both in terms of what level of compression they achieve ... By choosing the lowest-energy compressor and decompressor on the test platform, rather than using default levels of compression, overall energy to send ... Jan 17, 2025 ... Sharp bounds are derived for the best achievable compression rate of memoryless sources, when the excess-rate probability is required to be exponentially small ... Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. Nov 8, 2024 ... The newly developed lossless data compression technology, drawing on Hitachi's expertise in areas such as deep learning models and data storage, ... May 10, 1994 ... We describe a block-sorting, lossless data compression algorithm, and our imple- mentation of that algorithm. We compare the performance of ... ... data exchanged between wireless sensor nodes ... compression algorithm in comparison with other recently proposed lossless compression algorithms for WSNs. Mar 2, 2018 ... This thesis makes several contributions to the field of data compression. Lossless data com- pression algorithms shorten the description of ... Jan 22, 2019 ... Lossless data compression is the size reduction of a file, such that a decompression function can restore the original file exactly with no loss of data. Lossless and lossy file compression describe whether all original data can be recovered when the file is uncompressed. With lossless compression, every bit of ...