TY - GEN
T1 - Adaptive usage of cellular and WiFi bandwidth
T2 - 7th ACM International Workshop on Challenged Networks, CHANTS 2012
AU - Yetim, Ozlem Bilgir
AU - Martonosi, Margaret Rose
PY - 2012
Y1 - 2012
N2 - Worldwide, mobile data connectivity is now widespread, but not yet ubiquitous due to coverage limits and cost concerns. Mobile data ofioading to WiFi-where available- could greatly decrease the usage of cellular data networks. In delay-tolerant applications, one could delay network communication in order to exploit free WiFi connections expected to appear soon. However, WiFi connectivity is limited, and even delay-tolerant applications must meet qualityof-service deadlines. To explore such bandwidth scheduling issues, we develop an optimal MILP-based scheduling framework. Our framework schedules multiple application data streams with varying size and delay tolerance, onto networks with varying coverage and bandwidth, in order to minimize cellular data usage. The ability to subdivide data streams into scheduling units is important, because it allows applications to exploit brief windows of WiFi coverage and it allows tradeofis between solution quality and solver runtime.
AB - Worldwide, mobile data connectivity is now widespread, but not yet ubiquitous due to coverage limits and cost concerns. Mobile data ofioading to WiFi-where available- could greatly decrease the usage of cellular data networks. In delay-tolerant applications, one could delay network communication in order to exploit free WiFi connections expected to appear soon. However, WiFi connectivity is limited, and even delay-tolerant applications must meet qualityof-service deadlines. To explore such bandwidth scheduling issues, we develop an optimal MILP-based scheduling framework. Our framework schedules multiple application data streams with varying size and delay tolerance, onto networks with varying coverage and bandwidth, in order to minimize cellular data usage. The ability to subdivide data streams into scheduling units is important, because it allows applications to exploit brief windows of WiFi coverage and it allows tradeofis between solution quality and solver runtime.
KW - Cellular
KW - DTN
KW - Optimal scheduling formulation
KW - Wireless
UR - http://www.scopus.com/inward/record.url?scp=84866621701&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866621701&partnerID=8YFLogxK
U2 - 10.1145/2348616.2348631
DO - 10.1145/2348616.2348631
M3 - Conference contribution
AN - SCOPUS:84866621701
SN - 9781450312844
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 69
EP - 72
BT - CHANTS'12 - 7th ACM International Workshop on Challenged Networks
Y2 - 22 August 2012 through 22 August 2012
ER -