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  1. Evolving Systems
  2. Evolving Systems : Volume 6
  3. Evolving Systems : Volume 6, Issue 4, December 2015
  4. Know-How: a design pattern for generic log adapter
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Evolving Systems : Volume 8
Evolving Systems : Volume 7
Evolving Systems : Volume 6
Evolving Systems : Volume 6, Issue 4, December 2015
A fast cellular automata algorithm for liquid diffusion phenomenon modeling
Experimental assessment and design of multiple model predictive control based on local model networks for industrial processes
Know-How: a design pattern for generic log adapter
Generalized smart evolving fuzzy systems
A novel hybrid PSO-ACO approach with its application to SPP
Evolving Systems : Volume 6, Issue 3, September 2015
Evolving Systems : Volume 6, Issue 2, June 2015
Evolving Systems : Volume 6, Issue 1, March 2015
Evolving Systems : Volume 5
Evolving Systems : Volume 4
Evolving Systems : Volume 3
Evolving Systems : Volume 2
Evolving Systems : Volume 1

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Know-How: a design pattern for generic log adapter

Content Provider Springer Nature Link
Author Math, M. M. Rodd, S. F. Kenchannavar, Harish Kulkarni, S. B. Kulkarni, U. P. Yardi, A. R.
Copyright Year 2015
Abstract Software systems are increasingly becoming complex both in their functionality and size. Thus, managing such complex software systems manually is becoming tedious, error prone and expensive. Autonomic computing is an emerging new concept in system development, which provides a framework containing the complexity of the software systems by employing self-managing feature of the autonomic computing approach. It can provide self-managing capabilities by leveraging the Common Base Event standard using the adapters of the software applications. However, this requires writing of a separate adapter for each software product running on the system. This, however, is very tedious and time consuming process for system administrator. In order to eliminate the need for writing separate adapter, a Know-How based pattern for generic log adapter has been proposed. The Know-How approach is an evolved component that allows each prospective product vendor to write their own log files in the format required by them, yet be able to seamlessly integrate it in a heterogeneous work environment. A facility is also provided for the generation of rules for identifying the actions to be taken when one or more error log entries are generated by the software system under consideration. The system is intelligent enough to identify the appropriate action routine whenever, one or more symptoms are detected using canonical Left-to-Right parser. Preliminary experimental outputs indicate promising results both in terms of identifying correct action routine and also faster identification of the action to be performed.
Starting Page 255
Ending Page 268
Page Count 14
File Format PDF
ISSN 18686478
Journal Evolving Systems
Volume Number 6
Issue Number 4
e-ISSN 18686486
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2015-03-03
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Autonomic computing Common base event Log trace analyzer Adapter Know-How Symptom database Complexity Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity
Content Type Text
Resource Type Article
Subject Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications
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