TY - CONF
T1 - Mobility-based Proactive Multicast for Seamless Mobility Support in Cellular Network Environments
AU - Vasilakos, Xenofon
AU - Al-Khalidi, Mohammed
AU - Siris, Vasilios A
AU - Reed, Martin J
AU - Thomos, Nikolaos
AU - Polyzos, George C
PY - 2017/4/8
Y1 - 2017/4/8
N2 - Information-Centric Networking (ICN) is receiver driven, asynchronous
and location-independent, hence it natively supports
client-mobility. However, post-handover delay is a problem for
delay-sensitive mobile applications, as they need to (re-)submit
their subscriptions and wait for them to get resolved and (probably
re-) transmitted before receiving the demanded data. To avoid this
problem and optimize performance, this paper proposes a Mobility based
Proactive Multicast (MPM) scheme. Unlike reactive or blind
multicast solutions proposed in the past, MPM takes autonomous
decisions locally at various network access points (cells) prior to
the movement of mobile clients, using a semi-Markov mobility
prediction model that predicts next-cell transitions, along with anticipating
the duration between the transitions for an arbitrary user
in a cellular network. Since cellular backhaul links are typically
a bottleneck, MPM trades-off effectively part of the capacity of
the (congested) backhaul link for a decreased delay experienced
by users after handovers thanks to a congestion pricing scheme
used for backhaul capacity allocation. Our preliminary performance
evaluation results show that MPM captures well the temporal locality
of mobile requests due to the semi-Markov mobility prediction
AB - Information-Centric Networking (ICN) is receiver driven, asynchronous
and location-independent, hence it natively supports
client-mobility. However, post-handover delay is a problem for
delay-sensitive mobile applications, as they need to (re-)submit
their subscriptions and wait for them to get resolved and (probably
re-) transmitted before receiving the demanded data. To avoid this
problem and optimize performance, this paper proposes a Mobility based
Proactive Multicast (MPM) scheme. Unlike reactive or blind
multicast solutions proposed in the past, MPM takes autonomous
decisions locally at various network access points (cells) prior to
the movement of mobile clients, using a semi-Markov mobility
prediction model that predicts next-cell transitions, along with anticipating
the duration between the transitions for an arbitrary user
in a cellular network. Since cellular backhaul links are typically
a bottleneck, MPM trades-off effectively part of the capacity of
the (congested) backhaul link for a decreased delay experienced
by users after handovers thanks to a congestion pricing scheme
used for backhaul capacity allocation. Our preliminary performance
evaluation results show that MPM captures well the temporal locality
of mobile requests due to the semi-Markov mobility prediction
UR - https://dl.acm.org/citation.cfm?id=3098213
U2 - 10.1145/3098208.3098213
DO - 10.1145/3098208.3098213
M3 - Paper
ER -