On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi
Given that next generation networks are expected to be populated by a large number of devices, there is a need for quick deployment and evaluation of alternative mechanisms to cope with the possible generated traffic in large-scale distributed data networks. In this sense, the Raspberry Pi has been...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-10-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9292/5/4/66 |
| _version_ | 1798041829470371840 |
|---|---|
| author | Néstor J. Hernández Marcano Chres W. Sørensen Juan A. Cabrera G. Simon Wunderlich Daniel E. Lucani Frank H. P. Fitzek |
| author_facet | Néstor J. Hernández Marcano Chres W. Sørensen Juan A. Cabrera G. Simon Wunderlich Daniel E. Lucani Frank H. P. Fitzek |
| author_sort | Néstor J. Hernández Marcano |
| collection | DOAJ |
| description | Given that next generation networks are expected to be populated by a large number of devices, there is a need for quick deployment and evaluation of alternative mechanisms to cope with the possible generated traffic in large-scale distributed data networks. In this sense, the Raspberry Pi has been a popular network node choice due to its reduced size, processing capabilities, low cost and its support by widely-used operating systems. For information transport, network coding is a new paradigm for fast and reliable data processing in networking and storage systems, which overcomes various limitations of state-of-the-art routing techniques. Therefore, in this work, we provide an in-depth performance evaluation of Random Linear Network Coding (RLNC)-based schemes for the Raspberry Pi Models 1 and 2, by showing the processing speed of the encoding and decoding operations and the corresponding energy consumption. Our results show that, in several scenarios, processing speeds of more than 80 Mbps in the Raspberry Pi Model 1 and 800 Mbps in the Raspberry Pi Model 2 are attainable. Moreover, we show that the processing energy per bit for network coding is below 1 nJ or even an order of magnitude less in these scenarios. |
| first_indexed | 2024-04-11T22:27:03Z |
| format | Article |
| id | doaj.art-f1ab059959c6452782fc7b25c85939c9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T22:27:03Z |
| publishDate | 2016-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-f1ab059959c6452782fc7b25c85939c92022-12-22T03:59:38ZengMDPI AGElectronics2079-92922016-10-01546610.3390/electronics5040066electronics5040066On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry PiNéstor J. Hernández Marcano0Chres W. Sørensen1Juan A. Cabrera G.2Simon Wunderlich3Daniel E. Lucani4Frank H. P. Fitzek5Steinwurf ApS, Aalborg Øst 9220, DenmarkDepartment of Electronic Systems, Aalborg University, Aalborg Øst 9220, DenmarkDeutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Dresden 01062, GermanyDeutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Dresden 01062, GermanyDepartment of Electronic Systems, Aalborg University, Aalborg Øst 9220, DenmarkDeutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Dresden 01062, GermanyGiven that next generation networks are expected to be populated by a large number of devices, there is a need for quick deployment and evaluation of alternative mechanisms to cope with the possible generated traffic in large-scale distributed data networks. In this sense, the Raspberry Pi has been a popular network node choice due to its reduced size, processing capabilities, low cost and its support by widely-used operating systems. For information transport, network coding is a new paradigm for fast and reliable data processing in networking and storage systems, which overcomes various limitations of state-of-the-art routing techniques. Therefore, in this work, we provide an in-depth performance evaluation of Random Linear Network Coding (RLNC)-based schemes for the Raspberry Pi Models 1 and 2, by showing the processing speed of the encoding and decoding operations and the corresponding energy consumption. Our results show that, in several scenarios, processing speeds of more than 80 Mbps in the Raspberry Pi Model 1 and 800 Mbps in the Raspberry Pi Model 2 are attainable. Moreover, we show that the processing energy per bit for network coding is below 1 nJ or even an order of magnitude less in these scenarios.http://www.mdpi.com/2079-9292/5/4/66network codingRaspberry Pigoodputenergyperformance |
| spellingShingle | Néstor J. Hernández Marcano Chres W. Sørensen Juan A. Cabrera G. Simon Wunderlich Daniel E. Lucani Frank H. P. Fitzek On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi Electronics network coding Raspberry Pi goodput energy performance |
| title | On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi |
| title_full | On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi |
| title_fullStr | On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi |
| title_full_unstemmed | On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi |
| title_short | On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi |
| title_sort | on goodput and energy measurements of network coding schemes in the raspberry pi |
| topic | network coding Raspberry Pi goodput energy performance |
| url | http://www.mdpi.com/2079-9292/5/4/66 |
| work_keys_str_mv | AT nestorjhernandezmarcano ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi AT chreswsørensen ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi AT juanacabrerag ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi AT simonwunderlich ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi AT danielelucani ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi AT frankhpfitzek ongoodputandenergymeasurementsofnetworkcodingschemesintheraspberrypi |