Journal: SIGMETRICS Performance Evaluation Review

Volume 51, Issue 3

2 -- 0Sara Alouf, Y. C. Tay. ACM SIGMETRICS 2023 Student Research Competition
3 -- 5Amanda Camacho Novaes de Oliveira. Learning the Optimal Representation Dimension for Restricted Boltzmann Machines
6 -- 7Zifeng Niu. Graph Learning based Performance Analysis for Queueing Networks
8 -- 9Isaac Grosof. The RESET Technique for Multiserver-Job Analysis
10 -- 12Md Rajib Hossen. PEMA+: A Comprehensive Resource Manager for Microservices
13 -- 15Yuanyuan Li. Distributed Experimental Design Networks
16 -- 18Xiangan He. Zephyr: A Cost-Effective, Zero-Knowledge Light Client for Enhanced Blockchain Interoperability
19 -- 21Beatriz Pereira de Souza, Marcio Nunes De Miranda, Luiz Maltar Castello Branco. An Energy-efficient Wireless Sensor Network Applied to Greenhouse Cultivation
22 -- 24Nishat Ahmed, Amaan Rahman, Lucia Rhode. Best Practices for Exoskeleton Evaluation Using DeepLabCut
25 -- 27Tianhao Huang, Xiaozhi Zhu, Mo Niu. An End-to-End Benchmarking Tool for Analyzing the Hardware-Software Implications of Multi-modal DNNs
28 -- 0Urtzi Ayesta. Foreword from Chair of 2023 ACM SIGMETRICS Doctoral Dissertation Award Committee
29 -- 32Isaac Grosof. Optimal Scheduling in Multiserver Queues
33 -- 37Prakirt Raj Jhunjhunwala. Design and Analysis of Stochastic Processing and Matching Networks
38 -- 41Sean R. Sinclair. Adaptivity, Structure, and Objectives in Sequential Decision-Making
42 -- 45Matthew Corbett. Enhancing Security and Privacy in Head-Mounted Augmented Reality Systems Using Eye Gaze
46 -- 49Zhongdong Liu. Data Freshness in Information-update Systems: Modeling, Scheduling, and Tradeoffs
50 -- 53Tasmeen Zaman Ornee. Theory of Timely Remote Estimation and Application toSituational Awareness
54 -- 57Abhin Shah. Data-Rich Causal Inference
58 -- 61Md Kamran Chowdhury Shisher. Timely Inference over Networks
62 -- 65Vishrant Tripathi. Information Freshness for Monitoring and Control over Wireless Networks
66 -- 69Jinhang Zuo. Learning-enabled Networked Systems