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- Josh Kimball
aka: Joshua Kimball
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Publication search results
found 15 matches
- 2021
- Joshua Kimball:
PerfDB + PerlML: Enabling Big Data-Driven Research On Fine-Grained Performance Phenomena. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu:
PerfML: Smart Management of Complex Performance Data and Analytics. CogMI 2021: 146-155 - Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu, Xuhang Gu:
A Functional Model and Analysis of Next Generation Malware Attacks and Defenses. TPS-ISA 2021: 197-206 - 2020
- Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Wise Toolkit: Enabling Microservice-Based System Performance Experiments. CLOUD 2020: 152-163 - Joshua Kimball, Rodrigo Alves Lima, Yasuhiko Kanemasa, Calton Pu:
PerfDB: A Data Management System for Fine-Grained Performance Anomaly Detection. CIC 2020: 97-106 - Joshua Kimball, Rodrigo Alves Lima, Calton Pu:
Finding Performance Patterns from Logs with High Confidence. ICWS 2020: 164-178 - 2019
- Joshua Kimball, Calton Pu:
A Method and Tool for Automated Induction of Relations from Quantitative Performance Logs. CLOUD 2019: 11-25 - Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Systematic Construction, Execution, and Reproduction of Complex Performance Benchmarks. CLOUD 2019: 26-37 - 2018
- Peter W. Kimball, Evan B. Clark, Mark Scully, Kristof Richmond, Chris Flesher, Laura Lindzey, John Harman, Keith Huffstutler, Justin Lawrence, Scott Lelievre, Joshua Moor, Brian Pease, Vickie Siegel, Luke A. Winslow, Donald D. Blankenship, Peter T. Doran, Stacy Kim, Britney E. Schmidt, William C. Stone:
The ARTEMIS under-ice AUV docking system. J. Field Robotics 35(2): 299-308 (2018) - 2017
- Chien-An Lai, Josh Kimball, Tao Zhu, Qingyang Wang, Calton Pu:
milliScope: A Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services. ICDCS 2017: 92-102 - 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:
The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification. ICDCS 2017: 1919-1926 - Tao Zhu, Jack Li, Josh Kimball, Junhee Park, Chien-An Lai, Calton Pu, Qingyang Wang:
Limitations of Load Balancing Mechanisms for N-Tier Systems in the Presence of Millibottlenecks. ICDCS 2017: 1367-1377 - 2014
- Chien-An Lai, Qingyang Wang, Josh Kimball, Jack Li, Junhee Park, Calton Pu:
IO Performance Interference among Consolidated n-Tier Applications: Sharing Is Better Than Isolation for Disks. IEEE CLOUD 2014: 24-31 - 2013
- Deepal Jayasinghe, Josh Kimball, Tao Zhu, Siddharth Choudhary, Calton Pu:
An infrastructure for automating large-scale performance studies and data processing. IEEE BigData 2013: 187-192 - Deepal Jayasinghe, Josh Kimball, Siddharth Choudhary, Tao Zhu, Calton Pu:
An automated approach to create, store, and analyze large-scale experimental data in clouds. IRI 2013: 357-364
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