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ORCIDSIGMETRICS 2019: Phoenix, AZ, USA
- Erich M. Nahum, Thomas Bonald, Nick Duffield:
Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, USA, June 24-28, 2019. ACM 2019, ISBN 978-1-4503-6678-6
Session 1: Graph Learning
- Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. 1-2 - Jessica H. Hoffmann, Constantine Caramanis
:
Learning Graphs from Noisy Epidemic Cascades. 3-4
Session 2A: Load Balancing and Multiserver Systems
- Xingyu Zhou, Jian Tan, Ness B. Shroff:
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. 5-6 - Tim Hellemans, Tejas Bodas, Benny Van Houdt:
Performance Analysis of Workload Dependent Load Balancing Policies. 7-8 - Isaac Grosof, Ziv Scully, Mor Harchol-Balter:
Load Balancing Guardrails: Keeping Your Heavy Traffic on the Road to Low Response Times. 9-10 - Dengwang Tang, Vijay G. Subramanian:
Random Walk Based Sampling for Load Balancing in Multi-Server Systems. 11-12
Session 2B: Network Measurement and Performance
- Lan N. Nguyen, My T. Thai:
Network Resilience Assessment via QoS Degradation Metrics: An Algorithmic Approach. 13-14 - Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman:
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. 15-16 - Pavlos Nikolopoulos, Christos Pappas, Katerina J. Argyraki, Adrian Perrig:
Retroactive Packet Sampling for Traffic Receipts. 17-18 - Pavlos Sermpezis, Vasileios Kotronis:
Inferring Catchment in Internet Routing. 19-20
Session 3A: Computation and Memory Management
- Shoaib Akram, Jennifer B. Sartor, Kathryn S. McKinley, Lieven Eeckhout:
Crystal Gazer: Profile-Driven Write-Rationing Garbage Collection for Hybrid Memories. 21-22 - Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam:
Architecture-Aware Approximate Computing. 23-24 - Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. 25-26 - Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy:
Computing with Near Data. 27-28
Session 3B: Online Optimization and Pricing
- Santiago R. Balseiro, David B. Brown, Chen Chen:
Dynamic Pricing of Relocating Resources in Large Networks: Extended Abstract. 29-30 - Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala:
The Segmentation-Thickness Tradeoff in Online Marketplaces. 31-32 - (Withdrawn) On the Value of Look-Ahead in Competitive Online Convex Optimization. 33-34
- Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. 35-36
Session 4: Optimal Control and Estimation
- Haoran Yu, Ermin Wei, Randall A. Berry:
Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances. 37-38 - Daniel Vial, Vijay G. Subramanian:
A Structural Result for Personalized PageRank and its Algorithmic Consequences. 39-40 - Semih Cayci, Atilla Eryilmaz, Rayadurgam Srikant:
Learning to Control Renewal Processes with Bandit Feedback. 41-42
Session 6A: Workload Optimization and Cache Management
- Monika Henzinger, Stefan Neumann, Stefan Schmid:
Efficient Distributed Workload (Re-)Embedding. 43-44 - Pradeep Ambati, David E. Irwin:
Optimizing the Cost of Executing Mixed Interactive and Batch Workloads on Transient VMs. 45-46 - Joshua Comden, Sijie Yao, Niangjun Chen, Haipeng Xing, Zhenhua Liu:
Online Optimization in Cloud Resource Provisioning: Predictions, Regrets, and Algorithms. 47-48 - Guocong Quan, Jian Tan, Atilla Eryilmaz, Ness B. Shroff:
A New Flexible Multi-flow LRU Cache Management Paradigm for Minimizing Misses. 49-50
Session 6B: Control and Resource Allocation
- Doron Zarchy, Radhika Mittal, Michael Schapira, Scott Shenker:
Axiomatizing Congestion Control. 51-52 - Kuang Xu, Yuan Zhong:
Information, Memory and Capacity in Dynamic Resource Allocation. 53-54 - Muhammad Jehangir Amjad, Vishal Misra, Devavrat Shah, Dennis Shen:
mRSC: Multidimensional Robust Synthetic Control. 55-56 - Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown:
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. 57-58
Session 7A: Queueing and Scheduling
- Benny Van Houdt:
Global Attraction of ODE-based Mean Field Models with Hyperexponential Job Sizes. 59-60 - Mark van der Boor, Sem C. Borst, Johan van Leeuwaarden:
Hyper-Scalable JSQ with Sparse Feedback. 61-62 - Florin Ciucu, Felix Poloczek:
Two Extensions of Kingman's GI/G/1 Bound. 63-64 - Florin Ciucu, Felix Poloczek, Amr Rizk:
Queue and Loss Distributions in Finite-Buffer Queues. 65-66 - Jiaming Xu, Yuan Zhong:
Improved Queue-Size Scaling for Input-Queued Switches via Graph Factorization. 67-68
Session 7B: Memory and Performance
- Youil Han, Bryan S. Kim, Jeseong Yeon, Sungjin Lee, Eunji Lee:
TeksDB: Weaving Data Structures for a High-Performance Key-Value Store. 69 - Milan Radulovic, Rommel Sánchez Verdejo, Paul M. Carpenter, Petar Radojkovic, Bruce L. Jacob, Eduard Ayguadé:
PROFET: Modeling System Performance and Energy Without Simulating the CPU. 71-72 - Song Wei, Kun Zhang, Bibo Tu:
HyperBench: A Benchmark Suite for Virtualization Capabilities. 73-74 - Lei Zhang, Zhemin Yang, Yuyu He, Mingqi Li, Sen Yang, Min Yang, Yuan Zhang, Zhiyun Qian:
App in the Middle: Demystify Application Virtualization in Android and its Security Threats. 75-76 - Tu Dinh Ngoc, Bao Bui, Stella Bitchebe, Alain Tchana, Valerio Schiavoni, Pascal Felber, Daniel Hagimont:
Everything You Should Know about Intel SGX Performance on Virtualized Systems. 77-78
Session 8A: Learning, Detection and Forecasting
- Honghao Wei, Xiaohan Kang, Weina Wang, Lei Ying:
QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection. 79-80 - Alberto Vera, Siddhartha Banerjee:
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making. 81-82 - Lili Su, Jiaming Xu:
Securing Distributed Gradient Descent in High Dimensional Statistical Learning. 83-84 - Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen:
Model Agnostic Time Series Analysis via Matrix Estimation. 85-86
Session 8B: Performance Measurement and Management
- Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran:
What-If Analysis of Page Load Time in Web Browsers Using Causal Profiling. 87-88 - Ran Liu, Edmund Yeh, Atilla Eryilmaz:
Proactive Caching for Low Access-Delay Services under Uncertain Predictions. 89-90 - Xiao Zhu, Yihua Ethan Guo, Ashkan Nikravesh, Feng Qian, Z. Morley Mao:
Understanding the Networking Performance of Wear OS. 91-92 - Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu:
Demystifying Complex Workload-DRAM Interactions: An Experimental Study. 93
Session 9: Graph Analysis
- Chul-Ho Lee, Min Kang, Do Young Eun:
Non-Markovian Monte Carlo on Directed Graphs. 95-96 - Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser:
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs. 97-98 - Richard Combes, Mikael Touati:
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain. 99-100
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