@inproceedings{Zimm2012:Journey,

title = {Journey to MARS: Interplanetary Coding for relieving CDNs},

author = {Sandra {Zimmermann} and Justus {Rischke} and Juan A. {Cabrera} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

urldate = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud \& Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc1906:Improving,

title = {Improving Communication Reliability Efficiently: Adaptive Redundancy for RLNC in SDN},

author = {Justus {Rischke} and Frank {Gabriel} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-06-01},

booktitle = {2019 IEEE Conference on Network Softwarization (NetSoft) (NetSoft 2019)},

address = {Paris, France},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc1904:No,

title = {No Plan Survives Contact with the Enemy: On Gains of Coded Multipath over MPTCP in Dynamic Settings},

author = {Frank {Gabriel} and Justus {Rischke} and Frank H. P. {Fitzek} and Maciej {M\"{u}hleisen} and Thorsten {Lohmar}},

year  = {2019},

date = {2019-04-15},

booktitle = {2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE 

WCNC 2019)},

address = {Marrakech, Morocco},

abstract = {Systems for assisted and autonomous driving increasingly depend on 

information received and updated through wireless communication. But 

wireless communication often faces performance degradation because of its 

dynamic nature. Using multiple available communication channels, such as 

WiFi, LTE or 5G New Radio, simultaneously can increase the throughput and 

reliability, but also increases the dynamics of the system. MPTCP estimates 

the channel capacity and latency and schedule packets accordingly. However, 

in conditions with unstable channels MPTCP fails to fully utilize the 

available capacity. In this paper, we propose the use of Network Coding to 

efficiently utilize the available resources. We use a channel agnostic, 

random scheduler to maximize the utilization of all available channels. 

This prevents underestimations, but also produces a high number of packet 

loss and duplicate transmissions. We use Network Coding to repair the 

losses and reduce the overhead of redundant data. Our implementation of 

this protocol is evaluated against MPTCP in an emulated multipath network 

with time-varying path properties. The evaluation shows, that the proposed 

protocol utilizes the channels efficiently even in unstable conditions. In 

the evaluated dynamic network, the proposed protocol efficiently utilizes 

94% of the available capacity, while MPTCP is below 80% due to 

underestimation. While our protocol is not suitable for general purpose 

traffic, it provides good performance for large file transfers in unstable 

wireless multipath networks.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}