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ORCIDSIGMETRICS Performance Evaluation Review, Volume 49
Volume 49, Number 1, June 2022
- Longbo Huang, Anshul Gandhi, Negar Kiyavash, Jia Wang:
SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Virtual Event, China, June 14-18, 2021. ACM 2021, ISBN 978-1-4503-8072-0 [contents]
Volume 49, Number 2, January 2022
- Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021). 2 - Yu Su, Jannie Yu, Vivek Anand, Adam Wierman:
Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks. 3-5 - Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. 6-8 - Jhonatan Tavori, Hanoch Levy:
Continual Versus Occasional Spreading In Networks: Modeling Spreading Thresholds In Epidemic Processes. 9-11 - Julien Ancel, Christine Fricker, Hanene Mohamed:
Mean field analysis for bike and e-bike sharing systems. 12-14 - Fernando Miguelez, Josu Doncel, Urtzi Ayesta:
A Resource Sharing Game for the Freshness of Status Updates. 15-17 - Ziv Scully, Lucas van Kreveld:
When Does the Gittins Policy Have Asymptotically Optimal Response Time Tail? 18-20 - Yingdong Lu
:
Performance Analysis of A Queueing System with Server Arrival and Departure. 21-23 - Daan Rutten, Debankur Mukherjee:
Capacity Scaling Augmented With Unreliable Machine Learning Predictions. 24-26 - Andrés Ferragut, Lucas Narbondo, Fernando Paganini:
EDF vehicle charging under deadline uncertainty. 27-29 - Niloofar Bayat, Cody Morrin, Yuheng Wang, Vishal Misra:
Rank estimation for (approximately) low-rank matrices. 30-32 - Amir Reza Ramtin, Don Towsley, Philippe Nain, Edmundo de Souza e Silva, Daniel Sadoc Menasché:
Are Covert DDoS Attacks Facing Multi-Feature Detectors Feasible? 33-35 - Ziv Scully:
Bounding Mean Slowdown in Multiserver Systems. 36-38 - Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Robust Optimization. 39-41 - Nicolas Gast, Neil Walton:
Special Issue on the Workshop about Reinforcement Learning in Networks and Queues (RLNQ 2021). 42 - Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. 43-46 - Francisco Robledo, Vivek S. Borkar, Urtzi Ayesta, Konstantin Avrachenkov:
QWI: Q-learning with Whittle Index. 47-50 - Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve:
Asymptotic Optimality for Decentralised Bandits. 51-53 - Xin Liu, Bin Li, Pengyi Shi, Lei Ying:
A Constrained Bandit Approach for Online Dispatching. 54-56 - Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu:
ORSuite: Benchmarking Suite for Sequential Operations Models. 57-61 - Giulia Fanti:
ACM SIGMETRICS 2021 Student Research Competition. 62 - Shreshth Tuli:
SplitPlace: Intelligent Placement of Split Neural Nets in Mobile Edge Environments. 63-65 - Yige Hong:
Sharp Zero-Queueing Bounds for Multi-Server Jobs. 66-68 - Mahshid Ghasemi:
Auto-SDA: Automated Video-based Social Distancing Analyzer. 69-71 - Edwin Peng:
Exact Response Time Analysis of Preemptive Priority Scheduling with Switching Overhead. 72-74
Volume 49, Number 3, March 2022
- Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. 4-5 - Russell Lee, Yutao Zhou, Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman:
Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints. 6-7 - Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks. 8-9 - Andrés Ferragut, Lucas Narbondo, Fernando Paganini:
Scheduling EV charging with uncertain departure times. 10-15 - Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid:
An Axiomatic Perspective on the Performance Effects of End-Host Path Selection. 16-17 - Bai Liu, Eytan H. Modiano:
Optimal Control for Networks with Unobservable MaliciousNodes. 18-19 - Amir Reza Ramtin, Philippe Nain, Daniel Sadoc Menasché, Don Towsley, Edmundo de Souza e Silva:
Fundamental Scaling Laws of Covert DDoS Attacks. 20-21 - Anya Chaturvedi, Chandra Chekuri, Andréa W. Richa, Matthias Rost, Stefan Schmid, Jamison Weber:
Improved Throughput for All-or-Nothing Multicommodity Flows with Arbitrary Demands. 22-27 - Xiandong Huang, Qinglin Wang, Shuyu Lu, Ruochen Hao, Songzhu Mei, Jie Liu:
Evaluating FFT-based Algorithms for Strided Convolutions on ARMv8 Architectures? 28-29 - Gayane Vardoyan, Matthew Skrzypczyk, Stephanie Wehner:
On the Quantum Performance Evaluation of Two Distributed Quantum Architectures. 30-31 - Guin Gilman, Robert J. Walls:
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads (Extended Abstract). 32-34 - Maciej Pacut, Wenkai Dai, Alexandre Labbe, Klaus-Tycho Foerster, Stefan Schmid:
Improved Scalability of Demand-Aware Datacenter Topologies With Minimal Route Lengths and Congestion. 35-36 - Arnaud Cadas, Josu Doncel, Jean-Michel Fourneau, Ana Busic:
Flexibility can Hurt Dynamic Matching System Performance. 37-42 - Sushil Mahavir Varma, Siva Theja Maguluri:
A Heavy Traffic Theory of Two-Sided Queues. 43-44 - Rahul Vaze, Jayakrishnan Nair:
Speed Scaling with Multiple Servers under a Sum-Power Constraint. 45-50 - Giuliano Casale, Peter G. Harrison, Wai Hong Ong:
Facilitating Load-Dependent Queueing Analysis Through Factorization (Extended Abstract). 51-52 - Martin Zubeldia, Michel Mandjes:
Learning traffic correlations in multi-class queueing systems by sampling queue lengths, with routing applications. 53-54 - Bruce Spang:
Updating the Theory of Buffer Sizing. 55-56 - Shiksha Singhal, Veeraruna Kavitha:
Coalition Formation Resource Sharing Games in Networks. 57-58 - Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The Effect of Network Topology on Credit Network Throughput. 59-60 - Xusheng Chen, Shixiong Zhao, Ji Qi, Jianyu Jiang, Haoze Song, Cheng Wang, Tsz On Li, T.-H. Hubert Chan, Fengwei Zhang, Xiapu Luo, Sen Wang, Gong Zhang, Heming Cui:
Efficient and DoS-resistant Consensus for Permissioned Blockchains. 61-62 - Shubham Anand Jain, Shreyas Goenka, Divyam Bapna, Nikhil Karamchandani, Jayakrishnan Nair:
Sequential community mode estimation. 63-64 - Benjamin Berg, Justin Whitehouse, Benjamin Moseley, Weina Wang, Mor Harchol-Balter:
The Case for Phase-Aware Scheduling of Parallelizable Jobs. 65-66 - Xinzhe Fu, Eytan H. Modiano:
Elastic Job Scheduling with Unknown Utility Functions. 67-68 - Johan Ruuskanen, Tommi Berner, Karl-Erik Årzén, Anton Cervin:
Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing. 69-70 - Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi:
Optimal Speed Profile of a DVFS Processor under Soft Deadlines. 71-72 - Peter Buchholz:
On the Representation of Correlated Exponential Distributions by Phase Type Distributions. 73-78 - Gayane Vardoyan, Saikat Guha, Philippe Nain, Don Towsley:
On the Capacity Region of Bipartite and Tripartite Entanglement Switching: Erratum. 79-80
Volume 49, Number 4, June 2022
- Vittoria de Nitto Persone, Y. C. Tay:
Report on the First International Workshop on Teaching Performance Analysis of Computer Systems 2021. 1-2 - Mor Harchol-Balter, Ziv Scully:
The most common queueing theory questions asked by computer systems practitioners. 3-7 - Chee-Wei Tan:
The Value of Cooperation: From AIMD to Flipped Classroom Teaching. 8-13 - Cathy H. Xia, Nan-shan Chen, Priya Natarajan:
Teaching Performance Modeling via Software and Instructional Technology. 14-19 - Jean-Yves Le Boudec:
Performance Evaluation: A Preparation for Statistics and Data Science ? 20-23 - Giuseppe Serazzi:
Updating the Content of Performance Analysis Textbooks. 24-27 - Susanna Donatelli, Giuliana Franceschinis:
Special issue on the Workshop on TOols for Stochastic Modeling and Evaluation (TOSME 2021). 28 - Salah Al-Deen Almousa, Gábor Horváth, Illés Antal Horváth, András Mészáros, Miklós Telek:
The CME method: Efficient numerical inverse Laplace transformation with Concentrated Matrix Exponential distribution. 29-34 - Sebastian Allmeier, Nicolas Gast:
rmf tool - A library to Compute (Refined) Mean Field Approximation(s). 35-40 - Giulio Masetti, Leonardo Robol, Silvano Chiaradonna, Felicita Di Giandomenico:
TAPAS: a Tool for Stochastic Evaluation of Large Interdependent Composed Models with Absorbing States. 41-46 - Moreno Marzolla:
Queueing Networks and Markov Chains Analysis with the Octave queueing package. 47-52 - Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico, Michele Tucci:
Software Model Refactoring Driven by Performance Antipattern Detection. 53-58 - Carlos E. Budde:
FIG: the Finite Improbability Generator v1.3. 59-64 - Paolo Ballarini, Benoît Barbot:
Cosmos: Evolution of a Statistical Model Checking Platform. 65-69 - Matthew Sheldon, Giuliano Casale:
TauSSA: Simulating Markovian Queueing Networks with Tau Leaping. 70-75 - Catalina M. Lladó:
PIPE 2.7 overview A Petri net tool for performance modeling and evaluation. 76-80 - Laura Carnevali, Marco Paolieri, Enrico Vicario:
The ORIS tool: app, library, and toolkit for quantitative evaluation of non-Markovian systems. 81-86 - Elvio G. Amparore:
Stochastic modelling and evaluation using GreatSPN. 87-91 - Luca Vassio, Danilo Giordano, Jinoh Kim, Jon Crowcroft:
Message from the Chairs of the WAIN workshop 2021. 92 - Shimin Tao, Weibin Meng, Yimeng Chen, Yichen Zhu, Ying Liu, Chunning Du, Tao Han, Yongpeng Zhao, Xiangguang Wang, Hao Yang:
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling. 93-98 - Wenwen Hao, Ben Niu, Yin Luo, Kangkang Liu, Na Liu:
Improving accuracy and adaptability of SSD failure prediction in hyper-scale data centers. 99-104 - Shiva Ketabi, Matthew Buckley, Parsa Pazhooheshy, Faraz Farahvash, Yashar Ganjali:
Correlation-Aware Flow Consolidation for Load Balancing and Beyond. 105-110 - David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. 111-117 - Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Osamu Saotome:
Improving detection of scanning attacks on heterogeneous networks with Federated Learning. 118-123 - Matheus F. C. Barros, Carlos H. G. Ferreira, Lourenço Alves Pereira Júnior, Marco Mellia, Jussara M. Almeida, Bruno Pereira dos Santos:
Understanding mobility in networks: A node embedding approach. 124-130
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