att_abstract={{As smartphone users increasingly rely on cellular networks to access voice, video, and web applications, guaranteeing good performance and high availability is more important than ever. Historically, managing cellular network configuration has been a manual, error-prone process; recently, however, automated solutions such as SON (Self Organizing Networks) controllers are being deployed for dynamic tuning of network configuration to improve end-user service performance under dynamic network and traffic conditions. SON automates many aspects of cellular network configuration, but it is nonetheless susceptible to software bugs or unforeseen traffic conditions and could result in suboptimal performance. In this paper, we propose a capability (Veracity) to analyze the service performance impact of SON controller actions. Impact assessment is hard because of the extremely dynamic nature of SON and the dependency of end-user performance on factors such as radio channel quality, user mobility, and demand. Veracity addresses them using a model-driven change detection approach. Our evaluation using data collected from an operational cellular network demonstrates the accuracy of Veracity. Veracity is now being used by the field operations teams for the assessment of SON effectiveness in arenas and stadiums.}},
	att_authors={am649n, da1287, zg2325, sp056e, sp7242},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in IFIP/IEEE CNSM. {{, 2016-10-31}}
	author={Ajay Mahimkar and David Applegate and Swati Roy and Nick Feamster and Zihui Ge and Shomik Pathak and Sarat Puthenpura},
	institution={{IFIP/IEEE CNSM}},
	title={{Quantifying the Service Performance Impact of SON Controller Actions}},