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ORCIDSIGMETRICS 2023: Orlando, FL, USA
- Evgenia Smirni, Konstantin Avrachenkov, Phillipa Gill, Bhuvan Urgaonkar:
Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2023, Orlando, FL, USA, June 19-23, 2023. ACM 2023
Cloud & Datacenter
- Hasan Al Maruf
, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger:
Memtrade: Marketplace for Disaggregated Memory Clouds. 1-2 - Vamsi Addanki, Chen Avin, Stefan Schmid:
Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks. 3-4 - Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar:
Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. 5-6 - Johannes Zerwas, Csaba Györgyi, Andreas Blenk, Stefan Schmid, Chen Avin:
Duo: A High-Throughput Reconfigurable Datacenter Network Using Local Routing and Control. 7-8 - Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella:
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. 9-10 - Wenzhe Zhu, Yongkun Li, Erci Xu, Fei Li, Yinlong Xu, John C. S. Lui:
DiffForward: On Balancing Forwarding Traffic for Modern Cloud Block Services via Differentiated Forwarding. 11-12 - Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu:
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. 13-14 - Itamar Gozlan, Chen Avin, Gil Einziger, Gabriel Scalosub:
Go-to-Controller is Better: Efficient and Optimal LPM Caching with Splicing. 15-16 - 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. 17-18 - Yi Liu, Shouqian Shi, Minghao Xie, Heiner Litz, Chen Qian:
Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage. 19-20
Emerging Architectures
- Wangkai Jin, Xiangjun Peng:
SLITS: Sparsity-Lightened Intelligent Thread Scheduling. 21-22 - Hongyuan Liu, Sreepathi Pai, Adwait Jog:
Asynchronous Automata Processing on GPUs. 23-24
Game Theory, Pricing&Mean-Field Analysis
- Canhui Chen, Zhixuan Fang:
Gacha Game Analysis and Design. 25-26 - Daan Rutten, Debankur Mukherjee:
Mean-field Analysis for Load Balancing on Spatial Graphs. 27-28 - Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. 29-30 - Tareq Si Salem, Georgios Iosifidis, Giovanni Neglia:
Enabling Long-term Fairness in Dynamic Resource Allocation. 31-32
ML for Systems
- Serkut Ayvasik, Fidan Mehmeti, Edwin Babaians, Wolfgang Kellerer:
PEACH: Proactive and Environment Aware Channel State Information Prediction with Depth Images. 33-34 - 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. 35-36 - Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan:
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. 37-38 - Ali Hossein Abbasi Abyaneh, Maizi Liao, Seyed Majid Zahedi:
Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale. 39-40
Network Measurement
- Kyle MacMillan, Tarun Mangla, James Saxon, Nicole P. Marwell, Nick Feamster:
A Comparative Analysis of Ookla Speedtest and Measurement Labs Network Diagnostic Test (NDT7). 41-42 - Rashna Kumar, Sana Asif, Elise Lee, Fabián E. Bustamante:
Each at its Own Pace: Third-Party Dependency and Centralization Around the World. 43-44 - Haoran Lu, Qingchuan Zhao, Yongliang Chen, Xiaojing Liao, Zhiqiang Lin:
Detecting and Measuring Aggressive Location Harvesting in Mobile Apps via Data-flow Path Embedding. 45-46 - Amanda Hsu, Frank Li, Paul Pearce:
Fiat Lux: Illuminating IPv6 Apportionment with Different Datasets. 47-48 - Marco Chiesa, Fábio L. Verdi:
Network Monitoring on Multi-Pipe Switches. 49-50 - Haibo Wang, Dimitrios Melissourgos, Chaoyi Ma, Shigang Chen:
Real-time Spread Burst Detection in Data Streaming. 51-52 - Usama Naseer, Theophilus A. Benson:
JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile Web. 53-54
Online Optimization
- Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair:
Online Fair Allocation of Perishable Resources. 55-56 - Mozhengfu Liu, Xueyan Tang:
Dynamic Bin Packing with Predictions. 57-58 - 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. 59-60 - Fengjiao Li, Xingyu Zhou, Bo Ji:
(Private) Kernelized Bandits with Distributed Biased Feedback. 61-62 - Santiago R. Balseiro, Christian Kroer, Rachitesh Kumar:
Online Resource Allocation under Horizon Uncertainty. 63-64 - Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. 65-66 - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. 67-68 - Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. 69-70 - Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Smoothed Online Optimization with Unreliable Predictions. 71-72 - Jing Yu, Dimitar Ho, Adam Wierman:
Online Adversarial Stabilization of Unknown Networked Systems. 73-74
Queueing Theory
- Jalani K. Williams, Mor Harchol-Balter, Weina Wang:
The M/M/k with Deterministic Setup Times. 75-76 - Xinzhe Fu, Eytan H. Modiano:
Joint Learning and Control in Stochastic Queueing Networks with Unknown Utilities. 77-78 - Yehua Wei, Jiaming Xu, Sophie H. Yu:
Constant Regret Primal-Dual Policy for Multi-way Dynamic Matching. 79-80
Reinforcement Learning
- Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. 81-82 - Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman:
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. 83-84 - Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. 85-86
Security & Privacy
- Mingming Zhang, Xiang Li, Baojun Liu, Jianyu Lu, Yiming Zhang, Jianjun Chen, Haixin Duan, Shuang Hao, Xiaofeng Zheng:
Detecting and Measuring Security Risks of Hosting-Based Dangling Domains. 87-88 - Alexander Goldberg, Giulia Fanti, Nihar B. Shah:
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. 89-90 - Kailong Wang, Yuxi Ling, Yanjun Zhang, Zhou Yu, Haoyu Wang, Guangdong Bai, Beng Chin Ooi, Jin Song Dong:
Characterizing Cryptocurrency-themed Malicious Browser Extensions. 91-92 - Weizhao Tang, Lucianna Kiffer, Giulia Fanti, Ari Juels:
Strategic Latency Reduction in Blockchain Peer-to-Peer Networks. 93-94
Stochastic Scheduling
- Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri:
Power-of-d Choices Load Balancing in the Sub-Halfin Whitt Regime. 95-96 - Benny Van Houdt:
On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge Scheduling. 97-98 - Isaac Grosof, Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf:
Optimal Scheduling in the Multiserver-job Model under Heavy Traffic. 99-100
Wireless Networks
- Igor Kadota, Dror Jacoby, Hagit Messer, Gil Zussman, Jonatan Ostrometzky:
Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. 101-102 - Ruofeng Liu, Nakjung Choi:
A First Look at Wi-Fi 6 in Action: Throughput, Latency, Energy Efficiency, and Security. 103-104 - Ding Zhang, Panneer Selvam Santhalingam, Parth H. Pathak, Zizhan Zheng:
CoBF: Coordinated Beamforming in Dense mmWave Networks. 105-106 - Yilin Liu, Shijia Zhang, Mahanth Gowda, Srihari Nelakuditi:
Leveraging the Properties of mmWave Signals for 3D Finger Motion Tracking for Interactive IoT Applications. 107-108
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last updated on 2025-02-20 19:49 CET by the dblp team
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