Josh Kimball

According to our database, Josh Kimball authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning.

Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu

CoRR, 2024

2021

PerfDB + PerlML: Enabling Big Data-Driven Research On Fine-Grained Performance Phenomena.

Joshua Kimball

PhD thesis, 2021

A Functional Model and Analysis of Next Generation Malware Attacks and Defenses.

Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu, Xuhang Gu

Proceedings of the 3rd IEEE International Conference on Trust, 2021

PerfML: Smart Management of Complex Performance Data and Analytics.

Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

Finding Performance Patterns from Logs with High Confidence.

Joshua Kimball, Rodrigo Alves Lima, Calton Pu

Proceedings of the Web Services - ICWS 2020, 2020

PerfDB: A Data Management System for Fine-Grained Performance Anomaly Detection.

Joshua Kimball, Rodrigo Alves Lima, Yasuhiko Kanemasa, Calton Pu

Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

Wise Toolkit: Enabling Microservice-Based System Performance Experiments.

Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu

Proceedings of the Cloud Computing - CLOUD 2020, 2020

2019

Systematic Construction, Execution, and Reproduction of Complex Performance Benchmarks.

Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu

Proceedings of the Cloud Computing - CLOUD 2019, 2019

A Method and Tool for Automated Induction of Relations from Quantitative Performance Logs.

Joshua Kimball, Calton Pu

Proceedings of the Cloud Computing - CLOUD 2019, 2019

2017

Limitations of Load Balancing Mechanisms for N-Tier Systems in the Presence of Millibottlenecks.

Tao Zhu, Jack Li, Josh Kimball, Junhee Park, Chien-An Lai, Calton Pu, Qingyang Wang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification.

Calton Pu, Joshua Kimball, Chien-An Lai, Tao Zhu, Jack Li, Junhee Park, Qingyang Wang, Deepal Jayasinghe, PengCheng Xiong, Simon Malkowski, Qinyi Wu, Gueyoung Jung, Younggyun Koh, Galen S. Swint

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

milliScope: A Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services.

Chien-An Lai, Josh Kimball, Tao Zhu, Qingyang Wang, Calton Pu

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2014

IO Performance Interference among Consolidated n-Tier Applications: Sharing Is Better Than Isolation for Disks.

Chien-An Lai, Qingyang Wang, Josh Kimball, Jack Li, Junhee Park, Calton Pu

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

An automated approach to create, store, and analyze large-scale experimental data in clouds.

Deepal Jayasinghe, Josh Kimball, Siddharth Choudhary, Tao Zhu, Calton Pu

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

An infrastructure for automating large-scale performance studies and data processing.

Deepal Jayasinghe, Josh Kimball, Tao Zhu, Siddharth Choudhary, Calton Pu

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013