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SIGMETRICS Performance Evaluation Review, Volume 50
Volume 50, Number 1, June 2023
- D. Manjunath, Jayakrishnan Nair, Niklas Carlsson, Edith Cohen, Philippe Robert:
SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6 - 10, 2022. ACM 2022, ISBN 978-1-4503-9141-2 [contents]
Volume 50, Number 2, August 2022
- James Roberts, Dario Rossi:
Size-based scheduling vs fairness for datacenter flows: a queuing perspective. 2-10 - Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022). 11 - Shigeo Shioda, Kenta Takehara:
Ergodicity of Time Reversal Process of Stochastic Consensus Formation and Its Application. 12-14 - Jhonatan Tavori, Hanoch Levy:
Queueing-Network Based Applications Under Worst-case Attacks. 15-17 - Anand Kalvit, Assaf Zeevi:
Dynamic Learning in Large Matching Markets. 18-20 - Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong:
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. 21-23 - Yuan Yao, Marco Paolieri, Leana Golubchik:
Sojourn Time Minimization of Successful Jobs. 24-26 - Heng-Qing Ye:
Optimal Round-Robin Routing to Parallel Servers in Heavy Traffic. 27-29 - Elene Anton, Rhonda Righter, Ina Maria Verloop:
Scheduling under redundancy. 30-32 - Xiaoqi Tan, Siyuan Yu, Raouf Boutaba:
Online Selection with Convex Costs. 33-35 - Illés Horváth, András Mészáros, Miklós Telek:
Optimized numerical inverse Laplace transformation. 36-38 - Rui Ding, Eugene A. Feinberg:
CVaR Optimization for MDPs: Existence and Computation of Optimal Policies. 39-41 - Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh:
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. 42-44 - Pravein Govindan Kannan, Priyanka Naik, Praveen Tammana, Mythili Vutukuru:
Special Issue on The Workshop on Performance of host-based Network Applications (PerfNA 2022). 45 - Ziyan Wu, Tianming Cui, Arvind Narayanan, Yang Zhang, Kangjie Lu, Antonia Zhai, Zhi-Li Zhang:
GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond. 46-51
Volume 50, Number 3, December 2022
- Ziv Scully:
A New Toolbox for Scheduling Theory. 3-6 - Anish Agarwal:
Causal Inference for Social and Engineering Systems. 7-11 - Zaiwei Chen:
A Unified Lyapunov Framework for Finite-Sample Analysis of Reinforcement Learning Algorithms. 12-15 - Shreshth Tuli:
AI and Co-Simulation Driven Resource Management in Fog Computing Environments. 16-19 - Tareq Si Salem:
Online Learning for Network Resource Allocation. 20-23 - Jessica Maghakian:
Online Resource Allocation with Noisy Predictions. 24-27 - Alim Ul Gias:
Model-based Resource Management for Fine-grained Services. 28-31 - Xiao Sun:
Resource Allocation and Scheduling in Modern Cloud Computing. 32-35 - Xiaojun Shang:
Enabling Data-intensive Workflows in Heterogeneous Edge-cloud Networks. 36-38
Volume 50, Number 4, April 2023
- Andrea Marin, Sabina Rossi, Diletta Olliaro:
A product-form network for systems with job stealing policies. 2-4 - Nitesh Kumar, Gaurav S. Kasbekar, D. Manjunath:
Application of Data Collected by Endpoint Detection and Response Systems for Implementation of a Network Security System based on Zero Trust Principles and the EigenTrust Algorithm. 5-7 - Rooji Jinan, Gaurav Gautam, Parimal Parag, Vaneet Aggarwal:
Asymptotic Analysis of Probabilistic Scheduling for Erasure-Coded Heterogeneous Systems. 8-10 - Wonjun Hwang, Yoora Kim, Kyunghan Lee:
Augmenting Epidemic Models with Graph Neural Networks. 11-13 - Sudeshna Biswas, Himanshu, Sushmita Ghosh, Payali Das, Kaushik Saha, Swades De:
Efficient Data Transfer Mechanism for DLMS/COSEM Enabled Smart Energy Metering Platform. 14-16 - Abhishek K. Umrawal, Vaneet Aggarwal:
Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence. 17-19 - Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan:
Correlated Combinatorial Bandits for Online Resource Allocation. 20-22 - Zahidur Talukder, Mohammad A. Islam:
Efficient Federated Learning with Self-Regulating Clients. 23-25 - Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Heavy Traffic Queue Length Distribution without Resource Pooling in an Input-Queued Switch. 26-28 - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments. 29-31 - Kumar Saurav, Rahul Vaze:
Minimizing Age of Information under Arbitrary Arrival Model with Arbitrary Packet Size. 32-34 - Rudrabhotla Sri Prakash, Nikhil Karamchandani, Sharayu Moharir:
On the Regret of Online Edge Service Hosting. 35-37 - Alexandre Reiffers-Masson, Isabel Amigo:
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation. 38-40 - Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. 41-43 - Qi Li, Dong Chen:
Peer to Peer Distributed Solar Energy Trading. 44-46 - Wenxin Li:
Performance Analysis of Modified SRPT in Multiple-Processor Multitask Scheduling. 47-49 - Md Rajib Hossen, Mohammad A. Islam:
Practical Efficient Microservice Autoscaling. 50-52 - Yinan Zhu, Chunhui Duan, Xuan Ding:
RoSense. 53-55 - Daksh Mittal, Sandeep Juneja, Shubhada Agrawal:
Shift, scale and restart smaller models to estimate larger ones: Agent based simulators in epidemiology. 56-58 - Tuhinangshu Choudhury, Weina Wang, Gauri Joshi:
Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers. 59-61 - Hem Regmi, Sanjib Sur:
Towards Deep Learning Augmented Robust D-Band Millimeter-Wave Picocell Deployment. 62-64
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