PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems-Reference-Cited by-同舟云学术

PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems

Published:2017-04-11 Issue:11 Volume:47 Page:1837-1874
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw. Pract. Exper.

Author:

Portillo-Dominguez A. Omar¹^ORCID,Perry Philip¹,Magoni Damien²^ORCID,Murphy John¹

Affiliation:

1. Lero, School of Computer Science; University College Dublin

2. LaBRI; University of Bordeaux; France

Funder

Science Foundation Ireland

Publisher

Wiley

Subject

Software

Reference88 articles.

1. Compuware Applied performance management survey 2007

2. Dynamic load balancing for switch-based networks;Lee;Journal of Parallel and Distributed Computing,2003

3. Portillo-Dominguez AO Wang M Murphy J Magoni D Adaptive GC-aware load balancing strategy for high-assurance Java distributed systems International Symposium on High Assurance Systems Engineering Daytona Beach, USA 2015 68 75

4. Portillo-Domínguez AO Murphy J O'Sullivan P Leverage of extended information to enhance the performance of JEE systems Information Technology and Telecommunications Conference Cork, Ireland 2012 137 138

5. Angelopoulos V Parsons T Murphy J O'Sullivan P GcLite: an expert tool for analyzing garbage collection behavior IEEE 36th Annual Computer Software And Applications Conference Workshops Izmir, Turkey 2012 493 502

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