TY - GEN
T1 - TUBE
T2 - ACM SIGCOMM 2012 Conference Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2012
AU - Ha, Sangtae
AU - Sen, Soumya
AU - Joe-Wong, Carlee
AU - Im, Youngbin
AU - Chiang, Mung
PY - 2012
Y1 - 2012
N2 - The two largest U.S. wireless ISPs have recently moved towards usage-based pricing to better manage the growing demand on their networks. Yet usage-based pricing still requires ISPs to over-provision capacity for demand at peak times of the day. Time-dependent pricing (TDP) addresses this problem by considering when a user consumes data, in addition to how much is used. We present the architecture, implementation, and a user trial of an end-to-end TDP system called TUBE. TUBE creates a price-based feedback control loop between an ISP and its end users. On the ISP side, it computes TDP prices so as to balance the cost of congestion during peak periods with that of offering lower prices in less congested periods. On mobile devices, it provides a graphical user interface that allows users to respond to the offered prices either by themselves or using an "autopilot" mode. We conducted a pilot TUBE trial with 50 iPhone or iPad 3G data users, who were charged according to our TDP algorithms. Our results show that TDP benefits both operators and customers, flattening the temporal fluctuation of demand while allowing users to save money by choosing the time and volume of their usage.
AB - The two largest U.S. wireless ISPs have recently moved towards usage-based pricing to better manage the growing demand on their networks. Yet usage-based pricing still requires ISPs to over-provision capacity for demand at peak times of the day. Time-dependent pricing (TDP) addresses this problem by considering when a user consumes data, in addition to how much is used. We present the architecture, implementation, and a user trial of an end-to-end TDP system called TUBE. TUBE creates a price-based feedback control loop between an ISP and its end users. On the ISP side, it computes TDP prices so as to balance the cost of congestion during peak periods with that of offering lower prices in less congested periods. On mobile devices, it provides a graphical user interface that allows users to respond to the offered prices either by themselves or using an "autopilot" mode. We conducted a pilot TUBE trial with 50 iPhone or iPad 3G data users, who were charged according to our TDP algorithms. Our results show that TDP benefits both operators and customers, flattening the temporal fluctuation of demand while allowing users to save money by choosing the time and volume of their usage.
KW - time-dependent pricing
KW - user trial
KW - wireless
UR - http://www.scopus.com/inward/record.url?scp=84866494354&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866494354&partnerID=8YFLogxK
U2 - 10.1145/2342356.2342402
DO - 10.1145/2342356.2342402
M3 - Conference contribution
AN - SCOPUS:84866494354
SN - 9781450314190
T3 - SIGCOMM'12 - Proceedings of the ACM SIGCOMM 2012 Conference Applications, Technologies, Architectures, and Protocols for Computer Communication
SP - 247
EP - 258
BT - SIGCOMM'12 - Proceedings of the ACM SIGCOMM 2012 Conference Applications, Technologies, Architectures, and Protocols for Computer Communication
Y2 - 13 August 2012 through 17 August 2012
ER -