Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems

Lecture Notes in Computer Science - High Performance Computing ◽

10.1007/978-3-030-78713-4_11 ◽

2021 ◽

pp. 195-214

Author(s):

Burak Aksar ◽

Yijia Zhang ◽

Emre Ates ◽

Benjamin Schwaller ◽

Omar Aaziz ◽

...

Keyword(s):

Performance Anomaly

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An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure

Algorithms and Architectures for Parallel Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-05057-3_5 ◽

2018 ◽

pp. 59-71

Author(s):

Qingfeng Du ◽

Yu He ◽

Tiandi Xie ◽

Kanglin Yin ◽

Juan Qiu

Keyword(s):

Performance Anomaly

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Diagnostic Framework for Distributed Application Performance Anomaly Based on Adaptive Instrumentation

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) ◽

10.1109/iccci49374.2020.9145997 ◽

2020 ◽

Author(s):

Shudong Zhang ◽

Dongxue Liu ◽

Lijuan Zhou ◽

Zhongshan Ren ◽

Zipeng Wang

Keyword(s):

Application Performance ◽

Distributed Application ◽

Performance Anomaly ◽

Diagnostic Framework

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Distributed predictive performance anomaly detection for virtualised platforms

International Journal of High Performance Computing and Networking ◽

10.1504/ijhpcn.2018.093229 ◽

2018 ◽

Vol 11 (4) ◽

pp. 279 ◽

Cited By ~ 1

Author(s):

Ali Imran Jehangiri ◽

Ramin Yahyapour ◽

Edwin Yaqub ◽

Philipp Wieder

Keyword(s):

Anomaly Detection ◽

Predictive Performance ◽

Performance Anomaly

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Experimental Evaluation of Performance Anomaly in Mixed Data Rate IEEE802.11ac Wireless Networks

2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT) ◽

10.1109/dessert.2019.8770038 ◽

2019 ◽

Author(s):

Fash Safdari ◽

Anatoliy Gorbenko

Keyword(s):

Wireless Networks ◽

Experimental Evaluation ◽

Data Rate ◽

Mixed Data ◽

Performance Anomaly ◽

Evaluation Of Performance

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Eliminating the Performance Anomaly of 802.11b

Networking - ICN 2005 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-31957-3_120 ◽

2005 ◽

pp. 1055-1062 ◽

Cited By ~ 11

Author(s):

See-hwan Yoo ◽

Jin-Hee Choi ◽

Jae-Hyun Hwang ◽

Chuck Yoo

Keyword(s):

Performance Anomaly

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Performance anomaly detection using isolation‐trees in heterogeneous workloads of web applications in computing clouds

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.5306 ◽

2019 ◽

Vol 31 (20) ◽

Cited By ~ 1

Author(s):

Sara Kardani‐Moghaddam ◽

Rajkumar Buyya ◽

Kotagiri Ramamohanarao

Keyword(s):

Anomaly Detection ◽

Web Applications ◽

Performance Anomaly ◽

Heterogeneous Workloads

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PREPARE: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems

2012 IEEE 32nd International Conference on Distributed Computing Systems ◽

10.1109/icdcs.2012.65 ◽

2012 ◽

Cited By ~ 76

Author(s):

Yongmin Tan ◽

Hiep Nguyen ◽

Zhiming Shen ◽

Xiaohui Gu ◽

Chitra Venkatramani ◽

...

Keyword(s):

Predictive Performance ◽

Cloud Systems ◽

Performance Anomaly

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A performance anomaly in clustered on-line transaction processing systems

Computer Communications ◽

10.1016/j.comcom.2004.02.024 ◽

2004 ◽

Vol 27 (12) ◽

pp. 1166-1173 ◽

Cited By ~ 4

Author(s):

Hong Cai ◽

Hisao Kameda ◽

Jie Li

Keyword(s):

Transaction Processing ◽

Performance Anomaly ◽

On Line ◽

Transaction Processing Systems ◽

A Performance

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Dynamic and distributed packet aggregation to solve the performance anomaly in 802.11 wireless networks

Computer Networks ◽

10.1016/j.comnet.2007.09.019 ◽

2008 ◽

Vol 52 (1) ◽

pp. 77-95 ◽

Cited By ~ 4

Author(s):

Tahiry Razafindralambo ◽

Isabelle Guérin-lassous ◽

Luigi Iannone ◽

Serge Fdida

Keyword(s):

Wireless Networks ◽

Packet Aggregation ◽

Performance Anomaly

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Performance anomaly of neighbor discovery in Bluetooth Low Energy

2016 IEEE International Conference on Consumer Electronics (ICCE) ◽

10.1109/icce.2016.7430639 ◽

2016 ◽

Cited By ~ 2

Author(s):

Hojin Lee ◽

Dongseok Ok ◽

Joonsub Han ◽

Iksoon Hwang ◽

Kangtae Kim

Keyword(s):

Low Energy ◽

Neighbor Discovery ◽

Bluetooth Low Energy ◽

Performance Anomaly

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