att_abstract={{The explosive growth of mobile data traffic poses severe pressure on cellular providers to better manage their finite spectrum. Proposed solutions such as congestion-pricing ex- ist, but they degrade users’ ability to use the network when they want. In this paper, we propose a fundamentally differ- ent approach - rather than reducing the aggregate busy hour traffic, we seek to smooth the peaks that cause congestion. Our approach is based on two key insights obtained from traffic traces of a large cellular provider. First, that mobile traffic demonstrates high short-term variation so that delay- ing traffic for very short periods of time can significantly reduce peaks. Second, by making collaborative decisions on which traffic gets delayed and by how much across all users of a cell, the delays need not result in any degradation of user experience. We design a system, CoAST, to implement this approach using three key mechanisms: a protocol to allow mobile applications and providers to exchange traffic infor- mation, an incentive mechanism to incentivize mobile appli- cations to collaboratively delay traffic at the right time, and mechanisms to delay application traffic. We provide exten- sive evaluations that show that CoAST reduces traffic peaks by up to 50% even for applications that are not thought to be delay-tolerant, e.g., video streaming and web browsing, but which together account for 70% of all cellular traffic.}},
	att_authors={rp267p, kj2681},
	att_categories={C_NSS.8, C_NSS.18},
	att_copyright_notice={{(c) ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in 2014 {{, 2014-06-16}}.
	att_tags={Cellular networks,  Traffic Scheduling},
	author={Rajesh Panta and Kaustubh Joshi and Cong Shi and Mostafa Ammar and Ellen Zegura},
	institution={{MobiSys 2014}},
	title={{CoAST: Collaborative Application-Aware Scheduling of Last-Mile Cellular Traffic}},