A measurement study of vehicular internet access using in situ Wi-Fi networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Proceedings of the 5th international conference on Mobile systems, applications and services
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
Mobile data offloading: how much can WiFi deliver?
Proceedings of the 6th International COnference
Spider: improving mobile networking with concurrent wi-fi connections
Proceedings of the ACM SIGCOMM 2011 conference
Serval: an end-host stack for service-centric networking
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
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Worldwide, mobile data connectivity is now widespread, but not yet ubiquitous due to coverage limits and cost concerns. Mobile data offloading 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 quality-of-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 tradeoffs between solution quality and solver runtime.