Cisco Cisco IOS Software Release 12.0(2b) Libro blanco
In light of these challenges, how does performance fit within the network management framework? The
primary function of an ideal network management system is to optimize the operational capabilities of a
network. Once you accept this as the ultimate goal for network management, then the focus of network
management is to keep network operation at peak performance.
primary function of an ideal network management system is to optimize the operational capabilities of a
network. Once you accept this as the ultimate goal for network management, then the focus of network
management is to keep network operation at peak performance.
An ideal network management system includes these principle operations:
Informs the operator of impending performance deterioration.
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Provides easy alternative routing and workarounds when performance deterioration or failure takes
place.
place.
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Provides the tools to pinpoint causes of performance deterioration or failure.
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Serves as the main station for network resiliency and survivability.
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Communicates performance in real time.
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Based on this definition for an ideal system, performance management becomes essential to network
management. These performance management issues are critical:
management. These performance management issues are critical:
User performance
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Application performance
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Capacity planning
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Proactive fault management
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It is important to note that with newer applications like voice and video, performance is the key variable to
success and if you cannot achieve consistent performance, the service is considered of low value and fails. In
other cases, users simply suffer from variable performance with intermittent application timeouts that degrade
productivity and user satisfaction.
success and if you cannot achieve consistent performance, the service is considered of low value and fails. In
other cases, users simply suffer from variable performance with intermittent application timeouts that degrade
productivity and user satisfaction.
This document details the most critical performance management issues, which include critical success
factors, key performance indicators, and a high−level process map for performance management. It also
discusses the concepts of availability, response time, accuracy, utilization, and capacity planning and includes
a short discussion on the role of proactive fault analysis within performance management and the ideal
network management system.
factors, key performance indicators, and a high−level process map for performance management. It also
discusses the concepts of availability, response time, accuracy, utilization, and capacity planning and includes
a short discussion on the role of proactive fault analysis within performance management and the ideal
network management system.
Critical Success Factors
Critical success factors identify the requirements for implementation best practices. In order to qualify as a
critical success factor, a process or procedure must improve availability or the absence of the procedure must
decrease availability. In addition, the critical success factor should be measurable so that the organization can
determine the extent of their success.
critical success factor, a process or procedure must improve availability or the absence of the procedure must
decrease availability. In addition, the critical success factor should be measurable so that the organization can
determine the extent of their success.
Note: See Performance Management Indicators for detailed information.
These are the critical success factors for performance management:
Gather a baseline for both network and application data.
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Perform a what−if analysis on your network and applications.
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Perform exception reporting for capacity issues.
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Determine the network management overhead for all proposed or potential network management
services.
services.
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Analyze the capacity information.
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Periodically review capacity information for both network and applications, as well as baseline and
exception.
exception.
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Have upgrade or tuning procedures set up to handle capacity issues on both a reactive and long−term
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