Venue of SIGMETRICS 2018

ACM SIGMETRICS 2018

Irvine, California, USA
June 18-22, 2018

Accepted Papers

Summer Deadline

  • Safe Randomized Load-Balanced Switching By Diffusing Extra Loads by S. Yang (Georgia Institute of Technology), B. Lin (University of California, San Diego), J. Xu (Georgia Institute of Technology)
  • Predictive Impact Analysis for Designing a Resilient Cellular Backhaul Network by S. Yang (Georgia Institute of Technology), H. Yan (AT&T Labs - Research), Z. Ge (AT&T Labs - Research), D. Wang (AT&T Labs - Research), J. Xu (Georgia Institute of Technology)
  • Censored Demand Estimation in Retail by M. Amjad (MIT), D. Shah (MIT)
  • Online Learning of Optimally Diverse Rankings by S. Magureanu (KTH Royal Institute of Technology), A. Proutiere (KTH Royal Institute of Technology), M. Isaksson (Spotify AB), B. Zhang (Spotify AB)
  • A Refined Mean Field Approximation by N. Gast (Inria), B. Van Houdt (University of Antwerp)
  • Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization by S. Wang (The Ohio State University), N. Shroff (The Ohio State University)
  • On Non-Preemptive VM Scheduling in the Cloud by K. Psychas (Columbia University), J. Ghaderi (Columbia University)
  • An Optimal Randomized Online Algorithm for QoS Buffer Management by L. Yang (The Chinese University of Hong Kong), W. Wong (The Chinese University of Hong Kong), M. Hajiesmaili (Johns Hopkins University)
  • On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays by T. Doan (University of Illinois Urbana-Champaign), C. Beck (University of Illinois Urbana-Champaign), R. Srikant (University of Illinois Urbana-Champaign)
  • The PDE Method for the Analysis of Randomized Load Balancing Networks by R. Aghajani (University of California San Diego), X. Li (University of North Carolina Charlotte), K. Ramanan (Brown University)
  • Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms by X. Zhou (The Ohio State University), F. Wu (The Ohio State University), J. Tan (The Ohio State University), Y. Sun (The Ohio State University), N. Shroff (The Ohio State University)
  • Towards Optimality in Parallel Job Scheduling by B. Berg (Carnegie Mellon University), J. Dorsman (University of Amsterdam), M. Harchol-Balter (Carnegie Mellon University)
  • Performance of Balanced Fairness in Computer Clusters: A New Approach by T. Bonald (Telecom ParisTech), C. Comte (Nokia Bell Labs - Télécom ParisTech), F. Mathieu (Nokia Bell Labs)
  • Tomographic Node Placement Strategies and the Impact of the Routing Model by Y. Pignolet (ABB Corporate Research, Switzerland), S. Schmid (Aalborg University, Denmark), G. Tredan (CNRS Toulouse, France)
  • The CSI Framework for Compiler-Inserted Program Instrumentation by T. Schardl (MIT), T. Denniston (MIT), D. Doucet (MIT), B. Kuszmaul (MIT), I. Lee (Washington University in St. Louis), C. Leiserson (MIT)
  • Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent by Y. Chen (Cornell University), L. Su (University of Illinois at Urbana-Champaign), J. Xu (Purdue University)
  • A Fine-grained Event-based Modem Power Model for Enabling In-depth Modem Energy Drain Analysis by X. Chen (Purdue University), J. Meng (Purdue University), Y. Hu (Purdue University), M. Gupta (Intel Corp.), R. Hasholzner (Intel Corp.), V. Ekambaram (Intel Corp.), A. Singh (Intel Corp.), S. Srikanteswara (Intel Corp.)