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SIGMETRICS 2018: Irvine, CA, USA
- Konstantinos Psounis, Aditya Akella, Adam Wierman:
Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018, Irvine, CA, USA, June 18-22, 2018. ACM 2018
Achievement Lecture
- Jim G. Dai:
Steady-state Approximations: Achievement Lecture. 1
Emerging Areas
- Siddhartha Banerjee, Yash Kanoria, Pengyu Qian:
State Dependent Control of Closed Queueing Networks. 2-4 - Giulia Fanti, Shaileshh Bojja Venkatakrishnan, Surya Bakshi, Bradley Denby, Shruti Bhargava, Andrew Miller, Pramod Viswanath:
Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees. 5-7 - Eliav Buchnik, Edith Cohen:
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity. 8-10 - Jessica Hoffmann, Constantine Caramanis
:
The Cost of Uncertainty in Curing Epidemics. 11-13 - Thibault Séjourné, Samitha Samaranayake, Siddhartha Banerjee:
The Price of Fragmentation in Mobility-on-Demand Services. 14-16 - Muhammad J. Amjad, Devavrat Shah:
Censored Demand Estimation in Retail. 17-19
Keynote
- Margaret Martonosi:
New Metrics and Models for a Post-ISA Era: Managing Complexity and Scaling Performance in Heterogeneous Parallelism and Internet-of-Things. 20
Resource Management I
- Sem C. Borst, Martin Zubeldia:
Delay Scaling in Many-Sources Wireless Networks without Queue State Information. 21-23 - Daniel S. Berger, Nathan Beckmann, Mor Harchol-Balter
Practical Bounds on Optimal Caching with Variable Object Sizes. 24-26 - Jian Tan, Guocong Quan, Kaiyi Ji, Ness B. Shroff:
On Resource Pooling and Separation for LRU Caching. 27 - Lin Yang
An Optimal Randomized Online Algorithm for QoS Buffer Management. 28-30
Scheduling I
- Qingkai Liang, Eytan H. Modiano:
Minimizing Queue Length Regret Under Adversarial Network Models. 31-32 - Rupert Freeman, Seyed Majid Zahedi, Vincent Conitzer, Benjamin C. Lee:
Dynamic Proportional Sharing: A Game-Theoretic Approach. 33-35 - Ziv Scully
SOAP: One Clean Analysis of All Age-Based Scheduling Policies. 36-38 - Arjun Anand, Gustavo de Veciana:
A Whittle's Index Based Approach for QoE Optimization in Wireless Networks. 39
Keynote
- Jon M. Kleinberg:
Inherent Trade-Offs in Algorithmic Fairness. 40
Learning I
- Lin Yang, Lei Deng, Mohammad Hassan Hajiesmaili, Cheng Tan, Wing Shing Wong:
An Optimal Algorithm for Online Non-Convex Learning. 41-43 - Santiago Duran, Ina Maria Verloop:
Asymptotic Optimal Control of Markov-Modulated Restless Bandits. 44-46 - Stefan Magureanu, Alexandre Proutière, Marcus Isaksson, Boxun Zhang:
Online Learning of Optimally Diverse Rankings. 47-49 - Mohammad Sadegh Talebi, Alexandre Proutière:
Learning Proportionally Fair Allocations with Low Regret. 50-52 - Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. 53-55 - Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. 56-58
Cloud
- Pengfei Zheng, Benjamin C. Lee:
Hound: Causal Learning for Datacenter-scale Straggler Diagnosis. 59-61 - Vlad Nitu, Aram Kocharyan, Hannas Yaya, Alain Tchana, Daniel Hagimont, Hrachya V. Astsatryan:
Working Set Size Estimation Techniques in Virtualized Environments: One Size Does not Fit All. 62-63 - Shenglin Zhang
PreFix: Switch Failure Prediction in Datacenter Networks. 64-66 - Konstantinos Psychas, Javad Ghaderi:
On Non-Preemptive VM Scheduling in the Cloud. 67-69 - Mohammad A. Islam
Why Some Like It Loud: Timing Power Attacks in Multi-tenant Data Centers Using an Acoustic Side Channel. 70-72 - Saba Ahmadian, Onur Mutlu, Hossein Asadi:
ECI-Cache: A High-Endurance and Cost-Efficient I/O Caching Scheme for Virtualized Platforms. 73
Networking
- Zhaowei Tan, Yuanjie Li, Qianru Li, Zhehui Zhang, Zhehan Li, Songwu Lu:
Supporting Mobile VR in LTE Networks: How Close Are We? 74 - Yvonne-Anne Pignolet, Stefan Schmid
Tomographic Node Placement Strategies and the Impact of the Routing Model. 75-77 - Christina Vlachou, Ioannis Pefkianakis, Kyu-Han Kim:
LTERadar: Towards LTE-Aware Wi-Fi Access Points. 78-80 - Alan Kuhnle, Victoria G. Crawford, My T. Thai:
Network Resilience and the Length-Bounded Multicut Problem: Reaching the Dynamic Billion-Scale with Guarantees. 81-83 - Sen Yang, He Yan, Zihui Ge, Dongmei Wang, Jun Xu:
Predictive Impact Analysis for Designing a Resilient Cellular Backhaul Network. 84-86 - Kausik Subramanian, Loris D'Antoni, Aditya Akella:
Synthesis of Fault-Tolerant Distributed Router Configurations. 87-89
Learning II
- Kuang Xu, Se-Young Yun:
Reinforcement with Fading Memories. 90-92 - Thinh T. Doan, Carolyn L. Beck, R. Srikant:
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. 93-95 - Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. 96 - Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu:
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning. 97-99
Systems
- Tao B. Schardl, Tyler Denniston, Damon Doucet, Bradley C. Kuszmaul, I-Ting Angelina Lee, Charles E. Leiserson:
The CSI Framework for Compiler-Inserted Program Instrumentation. 100-102 - Akshay Jain, Mahmoud Khairy, Timothy G. Rogers
A Quantitative Evaluation of Contemporary GPU Simulation Methodology. 103-105 - Yixin Luo, Saugata Ghose, Yu Cai, Erich F. Haratsch, Onur Mutlu:
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation. 106 - Xiaomeng Chen, Jiayi Meng, Y. Charlie Hu, Maruti Gupta, Ralph Hasholzner, Venkatesan Nallampatti Ekambaram, Ashish Singh, Srikathyayani Srikanteswara:
A Fine-grained Event-based Modem Power Model for Enabling In-depth Modem Energy Drain Analysis. 107-109 - Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. 110 - Oleksii Oleksenko, Dmitrii Kuvaiskii, Pramod Bhatotia, Pascal Felber
Intel MPX Explained: A Cross-layer Analysis of the Intel MPX System Stack. 111-112
Load Balancing
- Nicolas Gast, Benny Van Houdt:
A Refined Mean Field Approximation. 113 - Tim Hellemans, Benny Van Houdt:
On the Power-of-d-choices with Least Loaded Server Selection. 114 - Xingyu Zhou, Fei Wu, Jian Tan, Kannan Srinivasan, Ness B. Shroff:
Degree of Queue Imbalance: Overcoming the Limitation of Heavy-traffic Delay Optimality in Load Balancing Systems. 115 - Benjamin Berg, Jan-Pieter L. Dorsman, Mor Harchol-Balter
Towards Optimality in Parallel Job Scheduling. 116-118 - Bo Jiang, Philippe Nain, Don Towsley
On a Class of Stochastic Multilayer Networks. 119-121 - Yun Zeng, Jian Tan, Cathy Honghui Xia:
Fork and Join Queueing Networks with Heavy Tails: Scaling Dimension and Throughput Limit. 122-124
Resource Management II
- Thomas Bonald, Céline Comte, Fabien Mathieu:
Performance of Balanced Fairness in Resource Pools: A Recursive Approach. 125-127 - Xingyu Zhou, Fei Wu, Jian Tan, Yin Sun, Ness B. Shroff:
Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms. 128 - Sinong Wang, Ness B. Shroff:
Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization. 129-131 - Reza Aghajani, Xingjie Li, Kavita Ramanan:
The PDE Method for the Analysis of Randomized Load Balancing Networks. 132-134 - Sen Yang, Bill Lin, Jun Xu:
Safe Randomized Load-Balanced Switching by Diffusing Extra Loads. 135-137 - Debankur Mukherjee, Sem C. Borst, Johan S. H. van Leeuwaarden:
Asymptotically Optimal Load Balancing Topologies. 138
Performance Evaluartion
- Nidhi Hegde:
ACM Sigmetrics Performance Evaluation Review: A New Series on Diversity. 139 - Leana Golubchik, Mallory Redel:
Diversity in Faculty Recruiting: A WiSE Approach. 140-142
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