Lossy channels in Bohrium
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40) |
Editors | Jan Baekgaard Pedersen, Kevin Chalmers, Jan F. Broenink, Brian Vinter, Kevin Vella, Peter H. Welch, Marc L. Smith, Kenneth Skovhede |
Number of pages | 14 |
Publisher | IMIA and IOS Press |
Publication date | 2019 |
Pages | 347-360 |
ISBN (Electronic) | 9781614999485 |
DOIs | |
Publication status | Published - 2019 |
Event | 39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018 - Dresden, Germany Duration: 19 Aug 2018 → 22 Aug 2018 |
Conference
Conference | 39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018 |
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Land | Germany |
By | Dresden |
Periode | 19/08/2018 → 22/08/2018 |
Series | Concurrent Systems Engineering Series |
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Volume | 70 |
ISSN | 1383-7575 |
- Bohrium, Cloud, JPEG, Lossy compression
Research areas
ID: 241090537