Abstract

This article describes a way to build a consolidated log that can be used to facilitate the state of Windows services at runtime. It makes a side by side introduction of code instrumentation techniques and autonomic techniques that can be used to collected data from running systems in order to construct a consolidated log. The techniques try to deal with the non-standardized syntaxes and contents that come with heterogeneous logs. The collected data might be a foundation for a replacement to such logs hence the behavior can be determined by such collected data. These behaviors can be mapped to common, standardized and easy-understandable high level events that can be used as a log themselves.

Highlights

  • Storage unit to keep all databases accessible

  • This article describes a way to build a consolidated log that can be used to facilitate the state of Windows services at runtime

  • It makes a side by side introduction of code instrumentation techniques and autonomic techniques that can be used to collected data from running systems in order to construct a consolidated log

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Summary

INTRODUCTION

Consolidation is not unlike data center migrations but the. This Document outlines an approach that can be used to clarify the behavior of Windows services based on potential problems when localizing log information in focus is on having the files or data in a specified location rather than moving them around. Each of the systems owns their own logs which typically have their own syntaxes and even semantics. The knowledge of different systems and their proprietary error codes is no longer needed when all information is expressed in a standardized and easy-understandable way

An Autonomic Approach
Monitoring Distributed Systems
Architectural Construction
Collecting Low Level Data
Aspect Weaving
Prepared Dynamic Aspect Weaving
Constructing Dynamic Aspects
Method name
Performance and Adaptability
CONCLUSION

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