2 | -- | 0 | Mark S. Squillante. Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023) |
3 | -- | 5 | Weici Pan, Zhenhua Liu. Switching Constrained Online Convex Optimization with Predictions and Feedback Delays |
6 | -- | 8 | Isaac Grosof, Mor Harchol-Balter, Alan Scheller-Wolf. New Stability Results for Multiserver-job Models via Product-form Saturated Systems |
9 | -- | 11 | E. Anton, K. Gardner. The stationary distribution of the redundancy-d model with random order of service |
12 | -- | 14 | Runhan Xie, Kristen Gardner, Rhonda Righter. Insensitivity for Loss Systems with Compatibilities |
15 | -- | 17 | Julianna Bor, Giuliano Casale, William J. Knottenbelt, Evgenia Smirni, Andreas Stathopoulos. Fitting with matrix exponential mixtures generated by discrete probabilistic scaling |
18 | -- | 20 | Zhisheng Zhao, Debankur Mukherjee. Optimal Rate-Matrix Pruning For Heterogeneous Systems |
21 | -- | 23 | Daan Rutten, Martin Zubeldia, Debankur Mukherjee. Distributed Rate Scaling in Large-Scale Service Systems |
24 | -- | 26 | Prakirt Raj Jhunjhunwala, Daniela Hurtado-Lange, Siva Theja Maguluri. Exponential Tail Bounds on Queues |
27 | -- | 29 | Florin Ciucu, Sima Mehri, Amr Rizk. On Ultra-Sharp Queueing Bounds |
30 | -- | 32 | Nicolas Gast, Bruno Gaujal, Kimang Khun. What is an Optimal Policy in Time-Average MDP? |
33 | -- | 35 | Yige Hong, Ziv Scully. Performance of the Gittins Policy in the G/G/1 and G/G/k, With and Without Setup Times |
36 | -- | 38 | Runhan Xie, Ziv Scully. Reducing Heavy-Traffic Response Time with Asymmetric Dispatching |
39 | -- | 41 | Yingdong Lu, Mark S. Squillante, Chai Wah Wu. Markov Decision Process Framework for Control-Based Reinforcement Learning |
42 | -- | 44 | Vittoria De Nitto Persone, Y. C. Tay. Report on the Second International Workshop on Teaching Performance Analysis of Computer Systems 2023 |
45 | -- | 49 | Giuliano Casale. Performance evaluation teaching in the age of cloud computing |
50 | -- | 52 | Diwakar Krishnamurthy. Teaching Software Performance Evaluation to Undergrads: Lessons Learned and Challenges |
53 | -- | 58 | Mohammad H. Hajiesmaili. Trade-off Analysis in Learning-augmented Algorithms with Societal Design Criteria |
59 | -- | 64 | Ziv Scully. The Role of Advanced Math in Teaching Performance Modeling |
65 | -- | 0 | David Elkouss, John C. S. Lui, Leandros Tassiulas. The First Workshop on Quantum Systems and Computations (2023) |
66 | -- | 68 | Ananda G. Maity, Joshua C. A. Casapao, Naphan Benchasattabuse, Michal Hajdusek, Rodney Van Meter, David Elkouss. Noise estimation in an entanglement distillation protocol |
69 | -- | 71 | Yiming Zeng, Jiarui Zhang, Zhenhua Liu 0002, Yuanyuan Yang 0001. Entanglement Management through Swapping over Quantum Internets |
72 | -- | 74 | Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley. Quantum Best Arm Identification |
75 | -- | 77 | Jiatai Huang, Longbo Huang. Learning-based Optimal Quantum Switch Scheduling |
78 | -- | 80 | Panagiotis Promponas, Víctor Valls, Leandros Tassiulas. Quantum Switch Scheduling for Information Qubits |
81 | -- | 83 | Sébastian de Bone, David Elkouss. GHZ distillation protocols in the presence of decoherence |
84 | -- | 0 | Arpit Gupta, Ramakrishnan Durairajan, Walter Willinger. Special Issue on The ACM SIGMETRICS Workshop on Measurements for Self-Driving Networks |
85 | -- | 87 | Chris Misa. Designing Traffic Monitoring Systems for Self-Driving Networks |
88 | -- | 90 | Srinivas Narayana. Making Decisions at Data Plane Speeds |
91 | -- | 93 | Alexander Braverman, Zaoxing Liu. Toward Fast Query Serving in Key-Value Store Migration with Approximate Telemetry |
94 | -- | 96 | Noga H. Rotman. Tackling Deployability Challenges in ML-Powered Networks |
97 | -- | 99 | Mariam Kiran. Engineering Autonomous Self-Driving Networks |
100 | -- | 102 | Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska. Towards Future-Based Explanations for Deep RL Network Controllers |
103 | -- | 105 | Yihua Cheng, Xu Zhang, Junchen Jiang. Enabling Perception-Driven Optimization in Networking |
106 | -- | 108 | Walter Willinger, Arpit Gupta, Arthur Selle Jacobs, Roman Beltiukov, Ronaldo A. Ferreira, Lisandro Z. Granville. A NetAI Manifesto (Part I): Less Explorimentation, More Science |
109 | -- | 111 | Walter Willinger, Arpit Gupta, Roman Beltiukov, Wenbo Guo 0002. A NetAI Manifesto (Part II): Less Hubris, more Humility |