OPAL: Opportunistic Alignment
of Advertisement Delivery with Basestation Overloads
This work is
motivated by two observations: (1) Cellular network operators
are
actively exploring advertisement delivery as a new means of revenue
generation and (2)
Cellular networks perceive intermittent overloads at
different times of the day. Bringing the two observations, OPAL is a
novel system that opportunistically aligns
advertisement delivery with
basestation overload. To achieve the alignment systematically, OPAL
builds on an analytical framework for
tunable unavailability of network
service to users during overload. At the same time, if the
network is
not overloaded enough during a certain period, OPAL schedules
enough
advertisements to satisfy
the advertisement delivery contracts.
The following demos show the efficacy of OPAL on a WiMAX
testbed.
In this
demo, we configure
a virtualized
WiMAX base station
(using NVS) for
the co-existence
of two slices with
resource-based
reservation. SLICE
1 and 2 reserve
50% of the total
resources each.
While SLICE 2
employs
traditional
scheduling like
round robin and
prop fairness
across its flows,
SLICE 1 implements
OPAL.
In the demo video, the left three netbooks
are in SLICE 1 and
the right three
are in SLICE 2.
The demo shows
that all clients
in SLICE 2 suffer
similar
performance
degradation,
whereas one client
in SLICE 1 is
shown an
advertisement in
the interest of
maximizing the
Quality of
Experience of the
other two users.
The demo clearly
shows the efficacy
of OPAL in
achieving good QoE
for its users.
