Evaluating Data Marshalling Approaches for Embedded Real-Time Systems on the Example of Autonomous Scaled Cars
| dc.contributor.author | Borosean, Victor | |
| dc.contributor.author | Eidukas, Saulius | |
| dc.contributor.author | Dang, Andy | |
| dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
| dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
| dc.date.accessioned | 2015-07-20T13:56:26Z | |
| dc.date.available | 2015-07-20T13:56:26Z | |
| dc.date.issued | 2015-07-20 | |
| dc.description.abstract | This paper conducted a comparison between four di erent data mar- shaling approaches (Netstrings, LCM, Protobuf, and ROS) that were im- plemented in the OpenDaVINCI environment and evaluated from di erent perspectives. In this study we compared the data marshaling approaches on the low-level, focusing on the overhead in terms of control data and en- coding/decoding for data structures that are common to OpenDaVINCI. Further, the data marshaling approaches were compared in terms of de- scriptive expressiveness with the current interface description language ODVD. | sv |
| dc.identifier.uri | http://hdl.handle.net/2077/39983 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.title | Evaluating Data Marshalling Approaches for Embedded Real-Time Systems on the Example of Autonomous Scaled Cars | sv |
| dc.type | text | |
| dc.type.degree | Student essay | |
| dc.type.uppsok | M2 |