Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joshua Kimball"'
Autor:
Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu, Xuhang Gu
Publikováno v:
2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9e5af9ff6dd9c14274c4a4f2ab8013
https://doi.org/10.1109/tpsisa52974.2021.00023
https://doi.org/10.1109/tpsisa52974.2021.00023
Autor:
Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu
Publikováno v:
2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16277598d1f9ace303f9f3683cac6de8
https://doi.org/10.1109/cogmi52975.2021.00027
https://doi.org/10.1109/cogmi52975.2021.00027
Publikováno v:
CIC
In this work, we present our performance data management system, PerfDB, that we use to study fine-grained performance anomalies like Millibottlenecks. We use it to present the first experimental evidence of a phenomenon we call, “Localized Latency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55835bf794024694fcdbc03f5a613554
https://doi.org/10.1109/cic50333.2020.00021
https://doi.org/10.1109/cic50333.2020.00021
Publikováno v:
Web Services – ICWS 2020 ISBN: 9783030596170
ICWS
ICWS
Performance logs contain rich information about a system’s state. Large-scale web service infrastructures deployed in the cloud are notoriously difficult to troubleshoot, especially performance bugs. Detecting, isolating and diagnosing fine-grained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b71f47a48df14756c596e3fbd62145b2
https://doi.org/10.1007/978-3-030-59618-7_11
https://doi.org/10.1007/978-3-030-59618-7_11
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030596347
CLOUD
CLOUD
In this paper, we present the Wise toolkit for microservice-based system performance experiments. Wise comprises a microservice-based application benchmark with controllable workload generation; milliScope, a set of system resource and event monitori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c674942d0fc53433142e5e29c39a9e
https://doi.org/10.1007/978-3-030-59635-4_11
https://doi.org/10.1007/978-3-030-59635-4_11
Autor:
Joshua Kimball, Calton Pu
Publikováno v:
Cloud Computing – CLOUD 2019 ISBN: 9783030235017
CLOUD
CLOUD
Operators use performance logs to manage large-scale web service infrastructures. Detecting, isolating and diagnosing fine-grained performance anomalies require integrating system performance measures across space and time. The diversity of these log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a07531b68c93bc3379d9e7d3fd0a369
https://doi.org/10.1007/978-3-030-23502-4_2
https://doi.org/10.1007/978-3-030-23502-4_2
Publikováno v:
Cloud Computing – CLOUD 2019 ISBN: 9783030235017
CLOUD
CLOUD
In this work, we present the next generation of the Elba toolkit available under a Beta release, showing how we have used it for experimental research in computer systems using RUBBoS, a well-known n-tier system benchmark, as example. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e3a7fc16d72a6208086eb8dcd1171f
https://doi.org/10.1007/978-3-030-23502-4_3
https://doi.org/10.1007/978-3-030-23502-4_3
Autor:
Pengcheng Xiong, Calton Pu, Qingyang Wang, Qinyi Wu, Tao Zhu, Deepal Jayasinghe, Younggyun Koh, Junhee Park, Simon Malkowski, Jack Li, Chien-An Lai, Joshua Kimball, Galen Swint, Gueyoung Jung
Publikováno v:
ICDCS
The performance of n-tier web-facing applications often suffer from response time long-tail problem. With relatively low resource utilization (less than 50%) and the majority of requests returning within a few milliseconds, a non-negligible num-ber o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb2063f254195fcbb2013cfc931aa6d
https://doi.org/10.1109/icdcs.2017.198
https://doi.org/10.1109/icdcs.2017.198