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ORCIDArpan Gujarati
Person information
- affiliation: University of British Columbia, Computer Science Department, Vancouver, BC, Canada
- affiliation: Max Planck Institute for Software Systems (MPI-SWS), Kaiserslautern, Germany
- affiliation (PhD 2020): Kaiserslautern University of Technology, Germany
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Books and Theses
- 2020
[b1]Arpan Gujarati:
Towards "Ultra-Reliable" CPS: Reliability Analysis of Distributed Real-Time Systems. Kaiserslautern University of Technology, Germany, 2020
Journal Articles
- 2019
- [j2]Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg
, Geoffrey Nelissen:
Correspondence article: a correction of the reduction-based schedulability analysis for APA scheduling. Real Time Syst. 55(1): 136-143 (2019) - 2015
- [j1]Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg:
Multiprocessor real-time scheduling with arbitrary processor affinities: from practice to theory. Real Time Syst. 51(4): 440-483 (2015)
Conference and Workshop Papers
- 2024
- [c19]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Harnessing Explainability to Improve ML Ensemble Resilience. DSN-S 2024: 33-37 - [c18]Zainab Saeed Wattoo, Petal Vitis, Ruizhe Zhu, Noah Depner, Ivory Zhang, Jason Hein, Arpan Gujarati, Margo I. Seltzer:
RABIT, a Robot Arm Bug Intervention Tool for Self-Driving Labs. DSN 2024: 353-361 - 2023
- [c17]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. ISSRE 2023: 474-485 - 2022
- [c16]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Towards Building Resilient Ensembles against Training Data Faults. DSN Workshops 2022: 68-69 - [c15]Arpan Gujarati, Zainab Saeed Wattoo, Maryam Raiyat Aliabadi, Sean Clark, Xiaoman Liu, Parisa Shiri, Amee Trivedi, Ruizhe Zhu, Jason Hein, Margo I. Seltzer:
Arming IDS Researchers with a Robotic Arm Dataset. DSN 2022: 101-108 - [c14]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications. DSN 2022: 163-171 - [c13]Arpan Gujarati, Ningfeng Yang, Björn B. Brandenburg:
In-ConcReTeS: Interactive Consistency meets Distributed Real-Time Systems, Again! RTSS 2022: 211-224 - 2021
- [c12]Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. QRS 2021: 1100-1111 - 2020
- [c11]Arpan Gujarati, Sathish Gopalakrishnan, Karthik Pattabiraman:
New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. ISSRE Workshops 2020: 283-286 - [c10]Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace:
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up. OSDI 2020: 443-462 - [c9]Arpan Gujarati, Sergey Bozhko, Björn B. Brandenburg:
Real-Time Replica Consistency over Ethernet with Reliability Bounds. RTAS 2020: 376-389 - 2019
- [c8]Arpan Gujarati, Mitra Nasri, Rupak Majumdar, Björn B. Brandenburg:
From Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems. ECRTS 2019: 9:1-9:23 - [c7]Arpan Gujarati, Malte Appel, Björn B. Brandenburg:
Achal: building highly reliable networked control systems. EMSOFT Companion 2019: 9 - 2018
- [c6]Arpan Gujarati, Mitra Nasri, Björn B. Brandenburg:
Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems. ECRTS 2018: 16:1-16:24 - [c5]Manohar Vanga, Arpan Gujarati, Björn B. Brandenburg:
Tableau: a high-throughput and predictable VM scheduler for high-density workloads. EuroSys 2018: 28:1-28:16 - 2017
- [c4]Arpan Gujarati, Sameh Elnikety, Yuxiong He, Kathryn S. McKinley, Björn B. Brandenburg:
Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency. Middleware 2017: 109-120 - 2015
- [c3]Arpan Gujarati, Björn B. Brandenburg:
When Is CAN the Weakest Link? A Bound on Failures-in-Time in CAN-Based Real-Time Systems. RTSS 2015: 249-260 - 2014
- [c2]Felipe Cerqueira, Arpan Gujarati, Björn B. Brandenburg:
Linux's Processor Affinity API, Refined: Shifting Real-Time Tasks Towards Higher Schedulability. RTSS 2014: 249-259 - 2013
- [c1]Arpan Gujarati, Felipe Cerqueira, Björn B. Brandenburg:
Outstanding Paper Award: Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities. ECRTS 2013: 69-79
Informal and Other Publications
- 2020
- [i1]Arpan Gujarati, Reza Karimi, Safya Alzayat, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace:
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up. CoRR abs/2006.02464 (2020)
Coauthor Index
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