Publications VS: Bibliography 2022 BibTeX
@article {ART-2022-05,
author = {Jonathan Falk and Heiko Geppert and Frank D{\"u}rr and Sukanya Bhowmik and Kurt Rothermel},
title = {{Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane}},
journal = {IEEE Transactions on Network and Service Management},
publisher = {IEEE},
volume = {19},
number = {2},
pages = {1807--1825},
type = {Article in Journal},
month = {June},
year = {2022},
isbn = {10.1109/TNSM.2022.3150664},
keywords = {traffic planning, QoS, reconfiguration, time-triggered},
language = {German},
cr-category = {C.2.3 Network Operations,
C.2.5 Local and Wide-Area Networks},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2022-05/ART-2022-05.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Many networked applications, e.g., in the domain of cyber-physical systems,
require strict service guarantees for time-triggered traffic flows, usually in
the form of jitter and latency bounds. It is a notoriously hard problem to
compute a network-wide traffic plan, i.e., a set of routes and transmission
schedules, that satisfies these requirements, and dynamic changes in the flow
set add even more challenges. Existing traffic-planning methods are ill-suited
for dynamic scenarios because they either suffer from high computational cost,
can result in low network utilization, or provide no explicit guarantees when
transitioning to a new traffic plan that incorporates new flows.
Therefore, we present a novel approach for dynamic traffic planning of
time-triggered flows. Our conflict-graph-based modeling of the traffic planning
problem allows for the reconfiguration of active flows to increase the network
utilization, while also providing per-flow QoS guarantees during the transition
to the new traffic plan. Additionally, we introduce a novel heuristic for
computing the new traffic plans. Evaluations of our prototypical implementation
show that we can efficiently compute new traffic plans in scenarios with
hundreds of active flows for a wide range of settings.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-05&engl=1}
}
@article {ART-2022-04,
author = {Jonathan Falk and Heiko Geppert and Frank D{\"u}rr and Sukanya Bhowmik and Kurt Rothermel},
title = {{Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane}},
journal = {IEEE Transactions on Network and Service Management},
publisher = {IEEE},
volume = {19},
number = {2},
pages = {1807--1825},
type = {Article in Journal},
month = {June},
year = {2022},
isbn = {10.1109/TNSM.2022.3150664},
keywords = {traffic planning, QoS, reconfiguration, time-triggered},
language = {German},
cr-category = {C.2.3 Network Operations,
C.2.5 Local and Wide-Area Networks},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2022-04/ART-2022-04.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Many networked applications, e.g., in the domain of cyber-physical systems,
require strict service guarantees for time-triggered traffic flows, usually in
the form of jitter and latency bounds. It is a notoriously hard problem to
compute a network-wide traffic plan, i.e., a set of routes and transmission
schedules, that satisfies these requirements, and dynamic changes in the flow
set add even more challenges. Existing traffic-planning methods are ill-suited
for dynamic scenarios because they either suffer from high computational cost,
can result in low network utilization, or provide no explicit guarantees when
transitioning to a new traffic plan that incorporates new flows.
Therefore, we present a novel approach for dynamic traffic planning of
time-triggered flows. Our conflict-graph-based modeling of the traffic planning
problem allows for the reconfiguration of active flows to increase the network
utilization, while also providing per-flow QoS guarantees during the transition
to the new traffic plan. Additionally, we introduce a novel heuristic for
computing the new traffic plans. Evaluations of our prototypical implementation
show that we can efficiently compute new traffic plans in scenarios with
hundreds of active flows for a wide range of settings.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-04&engl=1}
}
@article {ART-2022-03,
author = {Jonathan Falk and Heiko Geppert and Frank D{\"u}rr and Sukanya Bhowmik and Kurt Rothermel},
title = {{Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane}},
journal = {IEEE Transactions on Network and Service Management},
publisher = {IEEE},
volume = {19},
number = {2},
pages = {1807--1825},
type = {Article in Journal},
month = {June},
year = {2022},
isbn = {10.1109/TNSM.2022.3150664},
keywords = {traffic planning, QoS, reconfiguration, time-triggered},
language = {German},
cr-category = {C.2.3 Network Operations,
C.2.5 Local and Wide-Area Networks},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2022-03/ART-2022-03.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Many networked applications, e.g., in the domain of cyber-physical systems,
require strict service guarantees for time-triggered traffic flows, usually in
the form of jitter and latency bounds. It is a notoriously hard problem to
compute a network-wide traffic plan, i.e., a set of routes and transmission
schedules, that satisfies these requirements, and dynamic changes in the flow
set add even more challenges. Existing traffic-planning methods are ill-suited
for dynamic scenarios because they either suffer from high computational cost,
can result in low network utilization, or provide no explicit guarantees when
transitioning to a new traffic plan that incorporates new flows.
Therefore, we present a novel approach for dynamic traffic planning of
time-triggered flows. Our conflict-graph-based modeling of the traffic planning
problem allows for the reconfiguration of active flows to increase the network
utilization, while also providing per-flow QoS guarantees during the transition
to the new traffic plan. Additionally, we introduce a novel heuristic for
computing the new traffic plans. Evaluations of our prototypical implementation
show that we can efficiently compute new traffic plans in scenarios with
hundreds of active flows for a wide range of settings.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-03&engl=1}
}
@article {ART-2022-02,
author = {Jonathan Falk and Heiko Geppert and Frank D{\"u}rr and Sukanya Bhowmik and Kurt Rothermel},
title = {{Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane}},
journal = {IEEE Transactions on Network and Service Management},
publisher = {IEEE},
volume = {19},
number = {2},
pages = {1807--1825},
type = {Article in Journal},
month = {June},
year = {2022},
isbn = {10.1109/TNSM.2022.3150664},
keywords = {traffic planning, QoS, reconfiguration, time-triggered},
language = {German},
cr-category = {C.2.3 Network Operations,
C.2.5 Local and Wide-Area Networks},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2022-02/ART-2022-02.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Many networked applications, e.g., in the domain of cyber-physical systems,
require strict service guarantees for time-triggered traffic flows, usually in
the form of jitter and latency bounds. It is a notoriously hard problem to
compute a network-wide traffic plan, i.e., a set of routes and transmission
schedules, that satisfies these requirements, and dynamic changes in the flow
set add even more challenges. Existing traffic-planning methods are ill-suited
for dynamic scenarios because they either suffer from high computational cost,
can result in low network utilization, or provide no explicit guarantees when
transitioning to a new traffic plan that incorporates new flows.
Therefore, we present a novel approach for dynamic traffic planning of
time-triggered flows. Our conflict-graph-based modeling of the traffic planning
problem allows for the reconfiguration of active flows to increase the network
utilization, while also providing per-flow QoS guarantees during the transition
to the new traffic plan. Additionally, we introduce a novel heuristic for
computing the new traffic plans. Evaluations of our prototypical implementation
show that we can efficiently compute new traffic plans in scenarios with
hundreds of active flows for a wide range of settings.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-02&engl=1}
}
