By Topic

Detecting software aging of web servers with real-valued negative selection algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huan Yang ; Computer School, Wuhan University Wuhan, China ; Yiwen Liang ; Chengyu Tan ; Jun Fu

Long-running web server systems are prone to suffer from software aging, which result in increasing failure rate and/or degradation of their performance. To avoid this phenomenon, detection of web server aging becomes an important issue in web server maintenance. Existing technologies depending on aging samples succeed in detecting known web server aging, but failed to detect previously unseen aging because of the nondeterministic nature of the web server aging. In this paper, an immune-inspired real-valued negative selection algorithm, which only needs normal samples to perform anomaly detection, was proposed to distinguish web server aging (non-self) from normal state (self). The basis of the detection is aging causes exhaustion of system resources and performance degradation, namely performance deviation from the normal state. Since normal samples are much easier to acquire from running web server than aging samples, we believe this algorithm will improve the web server aging detection performance, especially of unknown ones.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011