By Topic

System's Availability Maximization Through Preventive Rejuvenation

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
$31 $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

2 Author(s)

Preventive system maintenance is one of the important measures to assure the key elements of autonomic computing such as adaptation, healing and protection. However, existing preventive maintenance methods do not meet the necessary requirements of their application into practice. In this paper, we propose a new preventive maintenance approach, termed preventive rejuvenation, that makes up some deficiencies of existing methods. System's physical parameters and software metrics are continuously collected and processed using continuous system telemetry. These data are used to estimate the current state of the system and its components during system operation. The optimal rejuvenation rule for a degrading system is formulated as a subset of the system states in which the system should be subjected to certain preventive actions so that the system's availability is maximized (or other specific goal is achieved). The uncertainty in the data, which originates from the experimental measurements, may invalidate the obtained optimal rejuvenation rule. To deal with this uncertainty, we derived acceptable bounds for variations of the obtained data for a given confidence level. On the basis of the derived bounds, requirements and rules for data gathering and processing are generated. Examples of application of the preventive rejuvenation approach to various components of a computer server are demonstrated.

Published in:

Autonomic Computing, 2006. ICAC '06. IEEE International Conference on

Date of Conference:

13-16 June 2006