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ORCIDProceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 6
Volume 6, Number 1, March 2022
SIGMETRICS 2022
- Niklas Carlsson, Edith Cohen, Philippe Robert:
POMACS V6, N1, March 2022 Editorial. 1:1 - Hem Regmi, Sanjib Sur:
Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation. 2:1-2:26 - Brivaldo Alves da Silva, Paulo Mol, Osvaldo L. H. M. Fonseca, Ítalo S. Cunha, Ronaldo A. Ferreira
, Ethan Katz-Bassett:
Automatic Inference of BGP Location Communities. 3:1-3:23 - Young-Kyoon Suh, Jun Young An, Byungchul Tak, Gap-Joo Na:
A Comprehensive Empirical Study of Query Performance Across GPU DBMSes. 4:1-4:29 - Loqman Salamatian, Scott Anderson, Joshua Matthews, Paul Barford, Walter Willinger, Mark Crovella:
Curvature-based Analysis of Network Connectivity in Private Backbone Infrastructures. 5:1-5:32 - Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam:
Data-Driven Network Path Simulation with iBox. 6:1-6:26 - Soheil Khadirsharbiyani, Jagadish Kotra, Karthik Rao, Mahmut T. Kandemir:
Data Convection: A GPU-Driven Case Study for Thermal-Aware Data Placement in 3D DRAMs. 7:1-7:25 - Xingyu Zhou:
Differentially Private Reinforcement Learning with Linear Function Approximation. 8:1-8:27 - Yuwei Luo, Varun Gupta, Mladen Kolar:
Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems. 9:1-9:72 - Sandeepa Bhuyan, Shulin Zhao, Ziyu Ying, Mahmut T. Kandemir, Chita R. Das:
End-to-end Characterization of Game Streaming Applications on Mobile Platforms. 10:1-10:25 - Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath:
Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains. 11:1-11:38 - Yaxiong Xie, Kyle Jamieson:
NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks. 12:1-12:26 - Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! 13:1-13:43 - Jihyun Ryoo, Mahmut Taylan Kandemir, Mustafa Karaköy:
Memory Space Recycling. 14:1-14:24 - Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang:
Metamorphic Testing of Deep Learning Compilers. 15:1-15:28 - Sina Darabi, Negin Mahani, Hazhir Bakhishi, Ehsan Yousefzadeh-Asl-Miandoab, Mohammad Sadrosadati, Hamid Sarbazi-Azad:
NURA: A Framework for Supporting Non-Uniform Resource Accesses in GPUs. 16:1-16:27 - Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. 17:1-17:34 - Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. 18:1-18:35 - Zaiwei Chen, Shancong Mou, Siva Theja Maguluri:
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. 19:1-19:24 - Yueyang Pan, Ruihan Li, Chenren Xu:
The First 5G-LTE Comparative Study in Extreme Mobility. 20:1-20:22 - Christina Giannoula, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu:
SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. 21:1-21:49 - Minhu Wang, Mingwei Xu, Jianping Wu:
Understanding I/O Direct Cache Access Performance for End Host Networking. 22:1-22:37 - Wei Liu, Xinlei Yang, Hao Lin, Zhenhua Li, Feng Qian:
Fusing Speed Index during Web Page Loading. 23:1-23:23
Volume 6, Number 2, June 2022
SIGMETRICS 2022
- Niklas Carlsson, Edith Cohen, Philippe Robert:
POMACS V6, N2, June 2022 Editorial. 24:1 - Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. 25:1-25:24 - Ashraf Mahgoub, Edgardo Barsallo Yi, Karthick Shankar, Eshaan Minocha, Sameh Elnikety, Saurabh Bagchi, Somali Chaterji:
WISEFUSE: Workload Characterization and DAG Transformation for Serverless Workflows. 26:1-26:28 - Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. 27:1-27:30 - Pengfei Li, Jianyi Yang, Shaolei Ren:
Expert-Calibrated Learning for Online Optimization with Switching Costs. 28:1-28:35 - Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Chuck Yoo:
Prediction of the Resource Consumption of Distributed Deep Learning Systems. 29:1-29:25 - Mohammadamin Ajdari, Patrick Raaf, Mostafa Kishani, Reza Salkhordeh, Hossein Asadi, André Brinkmann:
An Enterprise-Grade Open-Source Data Reduction Architecture for All-Flash Storage Systems. 30:1-30:27 - Anne Bouillard, Paul Nikolaus, Jens B. Schmitt:
Unleashing the Power of Paying Multiplexing Only Once in Stochastic Network Calculus. 31:1-31:27 - Albert Senen-Cerda, Jaron Sanders:
Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks. 32:1-32:53 - Yunming Xiao, Matteo Varvello, Aleksandar Kuzmanovic:
Monetizing Spare Bandwidth: The Case of Distributed VPNs. 33:1-33:27 - Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley:
Hierarchical Learning Algorithms for Multi-scale Expert Problems. 34:1-34:29 - Haris Bin Zia, Aravindh Raman, Ignacio Castro, Ishaku Hassan Anaobi, Emiliano De Cristofaro, Nishanth Sastry, Gareth Tyson:
Toxicity in the Decentralized Web and the Potential for Model Sharing. 35:1-35:25 - Qiulin Lin, Yanfang Mo, Junyan Su, Minghua Chen:
Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach. 36:1-36:28 - Chenxingyu Zhao, Tapan Chugh, Jaehong Min, Ming Liu, Arvind Krishnamurthy:
Dremel: Adaptive Configuration Tuning of RocksDB KV-Store. 37:1-37:30 - Shivang Aggarwal, Srisai Karthik Neelamraju, Ajit Bhat, Dimitrios Koutsonikolas:
A Detailed Look at MIMO Performance in 60 GHz WLANs. 38:1-38:26 - Christina Lee Yu, Xumei Xi:
Tensor Completion with Nearly Linear Samples Given Weak Side Information. 39:1-39:35 - Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu:
MalRadar: Demystifying Android Malware in the New Era. 40:1-40:27 - Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
A Formalism of DNN Accelerator Flexibility. 41:1-41:23
Volume 6, Number 3, December 2021
SIGMETRICS 2023
- Konstantin Avrachenkov, Phillipa Gill, Bhuvan Urgaonkar:
POMACS V6, N3 December 2022 Editorial. 42:1 - Kailong Wang, Yuxi Ling, Yanjun Zhang, Zhou Yu, Haoyu Wang, Guangdong Bai, Beng Chin Ooi, Jin Song Dong:
Characterizing Cryptocurrency-themed Malicious Browser Extensions. 43:1-43:31 - Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan:
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. 44:1-44:26 - Mozhengfu Liu, Xueyan Tang:
Dynamic Bin Packing with Predictions. 45:1-45:24 - Tareq Si Salem, Georgios Iosifidis, Giovanni Neglia:
Enabling Long-term Fairness in Dynamic Resource Allocation. 46:1-46:36 - Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou:
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models. 47:1-47:30 - Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. 48:1-48:28 - Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler:
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. 49:1-49:27 - Benny Van Houdt:
On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge Scheduling. 50:1-50:22 - Isaac Grosof, Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf:
Optimal Scheduling in the Multiserver-job Model under Heavy Traffic. 51:1-51:32 - Yilin Liu, Shijia Zhang, Mahanth Gowda, Srihari Nelakuditi:
Leveraging the Properties of mmWave Signals for 3D Finger Motion Tracking for Interactive IoT Applications. 52:1-52:28 - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. 53:1-53:57 - Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. 54:1-54:32 - Igor Kadota, Dror Jacoby, Hagit Messer, Gil Zussman, Jonatan Ostrometzky:
Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. 55:1-55:26 - Jalani Williams, Mor Harchol-Balter, Weina Wang:
The M/M/k with Deterministic Setup Times. 56:1-56:45 - Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang:
The Online Knapsack Problem with Departures. 57:1-57:32 - Xinzhe Fu, Eytan H. Modiano:
Joint Learning and Control in Stochastic Queueing Networks with Unknown Utilities. 58:1-58:32 - Ali Hossein Abbasi Abyaneh, Maizi Liao, Seyed Majid Zahedi:
Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale. 59:1-59:25
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