《Data-Analytics-nsdi15-paper-iyer》.pdf

CellIQ : Real-Time Cellular Network Analytics at Scale Anand Padmanabha Iyer, University of California, Berkeley; Li Erran Li, Bell Labs; Ion Stoica, University of California, Berkeley /conference/nsdi15/technical-sessions/presentation/iyer This paper is included in the Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’15). May 4–6, 2015 • Oakland, CA, USA ISBN 978-1-931971-218 Open Access to the Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’15) is sponsored by USENIX CellIQ: Real-Time Cellular Network Analytics at Scale † Anand Padmanabha Iyer , Li Erran Li , Ion Stoica University of California, Berkeley †Bell Labs, Alcatel-Lucent Abstract are either based on streaming database technology [15] We present CellIQ, a real-time cellular network analyt- or Hadoop batch processing [5, 35]. Thousands of pre- defined reports are generated from the data periodically ics system that supports rich and sophisticated analysis tasks. CellIQ is motivated by the lack of support for real- and made available in a dashboard for the experts to view. While these reports provide useful infor