@inproceedings{4d7bbc79daf5420da2a86ea5b07cca76,
title = "Lossy channels in Bohrium",
abstract = "In this paper, we introduce a new channel to the Bohrium runtime system that supports lossy compression of data. This channel makes it possible for a local user to offload calculation and data heavy processing to a remote server and still be able to visualize the data over a modest network connection. The new lossy channel supports a fixed frame rate mode where the user can specify a desired frame rate that the lossy channel will maintain. In order to maintain a frame rate, the lossy channel will dynamically adjust the quality setting of the lossy encoding. We assess how the lossy encoded data approximate the original data - both visually and numerically - and how the data compresses compared to popular lossless formats. For this assessment, we use the data from three different scientific simulations and the lossless formats PNG, zlib and the lossy format JPEG.",
keywords = "Bohrium, Cloud, JPEG, Lossy compression",
author = "Kristensen, {Mads R.B.} and Avery, {James E.}",
year = "2019",
doi = "10.3233/978-1-61499-949-2-347",
language = "English",
series = "Concurrent Systems Engineering Series",
publisher = "IMIA and IOS Press",
pages = "347--360",
editor = "Pedersen, {Jan Baekgaard} and Kevin Chalmers and Broenink, {Jan F.} and Brian Vinter and Kevin Vella and Welch, {Peter H.} and Smith, {Marc L.} and Kenneth Skovhede",
booktitle = "Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40)",
note = "39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018 ; Conference date: 19-08-2018 Through 22-08-2018",
}