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SIGMETRICS 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
Memtrade: Marketplace for Disaggregated Memory Clouds. 1-2 - Vamsi Addanki
Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks. 3-4 - Christina Giannoula
Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. 5-6 - Johannes Zerwas
Duo: A High-Throughput Reconfigurable Datacenter Network Using Local Routing and Control. 7-8 - Jiaxin Lin
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
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. 13-14 - Itamar Gozlan
Go-to-Controller is Better: Efficient and Optimal LPM Caching with Splicing. 15-16 - Daniele De Sensi
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. 17-18 - Yi Liu
Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage. 19-20
Emerging Architectures
- Wangkai Jin
SLITS: Sparsity-Lightened Intelligent Thread Scheduling. 21-22 - Hongyuan Liu
Asynchronous Automata Processing on GPUs. 23-24
Game Theory, Pricing&Mean-Field Analysis
- Canhui Chen
Gacha Game Analysis and Design. 25-26 - Daan Rutten
Mean-field Analysis for Load Balancing on Spatial Graphs. 27-28 - Sebastian Allmeier
Bias and Refinement of Multiscale Mean Field Models. 29-30 - Tareq Si Salem
Enabling Long-term Fairness in Dynamic Resource Allocation. 31-32
ML for Systems
- Serkut Ayvasik
PEACH: Proactive and Environment Aware Channel State Information Prediction with Depth Images. 33-34 - Yunzhuo Liu
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models. 35-36 - Prashanthi S. K
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. 37-38 - Ali Hossein Abbasi Abyaneh
Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale. 39-40
Network Measurement
- Kyle MacMillan
A Comparative Analysis of Ookla Speedtest and Measurement Labs Network Diagnostic Test (NDT7). 41-42 - Rashna Kumar
Each at its Own Pace: Third-Party Dependency and Centralization Around the World. 43-44 - Haoran Lu
Detecting and Measuring Aggressive Location Harvesting in Mobile Apps via Data-flow Path Embedding. 45-46 - Amanda Hsu
Fiat Lux: Illuminating IPv6 Apportionment with Different Datasets. 47-48 - Marco Chiesa
Network Monitoring on Multi-Pipe Switches. 49-50 - Haibo Wang
Real-time Spread Burst Detection in Data Streaming. 51-52 - Usama Naseer
JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile Web. 53-54
Online Optimization
- Siddhartha Banerjee
Online Fair Allocation of Perishable Resources. 55-56 - Mozhengfu Liu
Dynamic Bin Packing with Predictions. 57-58 - Bo Sun
The Online Knapsack Problem with Departures. 59-60 - Fengjiao Li
(Private) Kernelized Bandits with Distributed Biased Feedback. 61-62 - Santiago R. Balseiro
Online Resource Allocation under Horizon Uncertainty. 63-64 - Shuang Cui
Streaming Algorithms for Constrained Submodular Maximization. 65-66 - Daniel Vial
Robust Multi-Agent Bandits Over Undirected Graphs. 67-68 - Naram Mhaisen
Optimistic No-regret Algorithms for Discrete Caching. 69-70 - Daan Rutten
Smoothed Online Optimization with Unreliable Predictions. 71-72 - Jing Yu
Online Adversarial Stabilization of Unknown Networked Systems. 73-74
Queueing Theory
- Jalani K. Williams
The M/M/k with Deterministic Setup Times. 75-76 - Xinzhe Fu
Joint Learning and Control in Stochastic Queueing Networks with Unknown Utilities. 77-78 - Yehua Wei
Constant Regret Primal-Dual Policy for Multi-way Dynamic Matching. 79-80
Reinforcement Learning
- Dongyan Lucy Huo
Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. 81-82 - Yizhou Zhang
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. 83-84 - Tyler Sam
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. 85-86
Security & Privacy
- Mingming Zhang
Detecting and Measuring Security Risks of Hosting-Based Dangling Domains. 87-88 - Alexander Goldberg
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. 89-90 - Kailong Wang
Characterizing Cryptocurrency-themed Malicious Browser Extensions. 91-92 - Weizhao Tang
Strategic Latency Reduction in Blockchain Peer-to-Peer Networks. 93-94
Stochastic Scheduling
- Sushil Mahavir Varma
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
Optimal Scheduling in the Multiserver-job Model under Heavy Traffic. 99-100
Wireless Networks
- Igor Kadota
Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. 101-102 - Ruofeng Liu
A First Look at Wi-Fi 6 in Action: Throughput, Latency, Energy Efficiency, and Security. 103-104 - Ding Zhang
CoBF: Coordinated Beamforming in Dense mmWave Networks. 105-106 - Yilin Liu
Leveraging the Properties of mmWave Signals for 3D Finger Motion Tracking for Interactive IoT Applications. 107-108
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