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Network resource planning for SAP R/3, Baan and Peoplesoft
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Network resource planning for SAP R/3, Baan and Peoplesoft

Network resource planning for SAP R/3, Baan and Peoplesoft

A practical guide to planning enterprise-wide applications

Annette Clewett, Dana Franklin, Ann Mccown

356 pages, parution le 30/07/1998

Résumé

This book is intended as a guide for network planners, both technical staff and managers, who are responsible for ensuring that an enterprise wide area network infrastructure can support mission-critical enterprise application deployments. For the experienced network manager, the book describes how to implement Network Resource Planning (NRP) methodologies, with examples using specific performance management software tools available today. However, NRP is very much about process rather than specific tools. For an experienced network manager, the mechanics of using a software tool to collect data on network performance is not problematic -- rather it is deciding what data to collect, and how to interpret the meaning of that data in terms of overall network planning objectives. This book is thus focused on the processes of NRP -- setting objectives, determining what data to collect, making assumptions about the deployment of a new enterprise application, assessing the validity of the data that is collected, and evaluating the results in light of the assumptions that are required in order to predict network performance under conditions that may not yet exist in reality.

While the focus of this book is on analyzing a network's ability to support deployment of a new Enterprise Resource Planning (ERP) application such as SAP R/3, BAAN IV, or PeopleSoft, its techniques are applicable to many other types of client/server applications. It can also be used to provide valuable insights into how the enterprise network is supporting existing applications, and to help diagnose conditions within the enterprise network that may be contributing to application performance problems.

Table of contents

Preface
Organization of the book
Acknowledgments
Introduction
Limitations on the scope of this book
Examples
Part 1: Network Resource Planning
Chapter 1: Network Resource Planning overview
Why enterprise applications need Network Resource Planning
The evolution of enterprise computing
The reality of distributed enterprise computing
Network Resource Planning methodology
The basic Network Resource Planning processes
The tools used for Network Resource Planning
The consequences of not using Network Resource Planning
The varied causes of poor application performance
The importance of identifying the real problem
References
Chapter 2: The Network Resource Planning process
Factors in determining the benefits of Network Resource
Planning
Application/network architecture
Network usage
Quality of service
Network environment changes
The techniques of NRP
The cyclical nature of NRP
Baselining
Application planning
Capacity planning
The Three Phases of NRP
Pre-implementation phase
Rollout validation phase
Lifecycle management phase
Network tools that are available for NRP
Data collection and analysis tools
Router MIB statistical collection tools
Traffic analyzers and RMON2 compatible probes
Performance Management Tools
Visualization/reporting tools
Topology acquisition tools
Traffic import/consolidation tools
Application profiling tools
Network modeling/simulation tools
Resources for implementing an NRP project
References
Chapter 3: Getting Started
Formulate the project objectives
Scenario 1: A transportation company
Scenario 2: A manufacturing company
Scenario 3: A service company
Identify methodologies and strategies to accomplish your goals
Prioritize your network planning goals
Collect and document what is already known
Define tasks that support the objectives
Define a data collection strategy
Determine project timing and timeframe
Create a project timeline
Refine the methodology
Ingredients for a successful NRP project
People resources
Budget
Network Tools
Chapter 4: Baselining the Network
Baselining defined
Creating a baseline vs. baselining
Why use baselining techniques?
How much baseline data is enough?
Baselining versus trending
The data required for baselining
Existing network documentation
Topology data
Usage-based data
Application-based data
The relationship between usage-based and application-based data
Creating a baseline
Baselining objectives
The network inventory
The topological inventory
Validation
The traffic inventory
Collecting usage-based data
System volume or activity
Individual circuit utilization
The data collection interval and time periods
Collecting application-based data
Data collection placement strategy
Configuring the data collection devices
Traffic analysis
Analyzing usage-based data
Finding the "busy hour" for the system
Analyzing backbone circuit behavior
Validating your conclusions
Analyzing application-based data
Application distribution
Identifying high-volume applications
Analyzing application throughput
Determining the applications to analyze
Correlating usage and application data
Using baseline data to create a capacity planning baseline model
Tracking changes in network activity
Changes in the topology inventory
Changes in network utilization
Changes in system activity
Changes in circuit utilization
Correlating application-based data with system activity
Changes in application distribution
The baselining life cycle
Application planning as the next step
References
Chapter 5: Application Planning
The objectives of application planning
Requirements for application planning
Understanding how the application will be used
Understanding the application deployment environment
Understanding your testing environment
Baselining as a requirement
Developing your application planning strategy
The application planning cycle
NRP's focus on an application's network behavior
Application assessment
Defining the application usage scenario
Defining the number of users
Defining the frequency of the transactions
Selecting the application transactions
Developing the benchmark
The characteristics of a good benchmark
Assessing the application distribution on the network
Application data collection
Selecting a data collection device
Creating or identifying your test environment
Placing and configuring your data collection devices
Determining acceptable quality of service
Capturing the application traffic data
Running the benchmark multiple times
Requirements for the "knowledgeable" application user
Application Profiling
Capacity planning as the next step
Chapter 6: Capacity Planning
The objectives of capacity planning
An historical perspective on capacity planning
Capacity Planning's role in Network Resource Planning
The requirements for capacity planning
Baseline data
Application profiles
Application usage projections
Network modeling tool
The capacity planning cycle
Baseline model creation
Making assumptions
Baseline model creation strategies
The benefit of creating multiple baseline models
Creating capacity planning scenarios
Requirements for creating capacity planning scenarios
Scenario assumptions that affect capacity planning outcomes
Using multiple scenarios
Using a performance management (modeling) tool to create scenarios
Running the "what-if" analysis for capacity planning
Discrete event simulation
Analytical modeling
Performance management tool requirements
Calculating the route on a per packet basis
Calculated bandwidth utilization
Reporting utilization values
Per packet response time
Calculating response time
Analyzing the results of the "what-if" analysis
Checking your assumptions
Redesigning your network
Network design beyond the scope of this book
Obstacles to collecting an end-to-end traffic matrix
Redesigning the network to meet quality of service goals
Deciding how to redesign
Frame relay design -- a special case
Projecting Growth
Capacity planning in the future
Chapter 7: The Future of Network Resource Planning
NRP as a requirement as enterprise networks evolve
The evolution of the NRP cycle
Baselining
Network inventory
Topological inventory
Traffic inventory
Traffic analysis
Application planning
Application Assessment
Application data capture
Application profiling
Capacity planning
Creating the baseline model
Creating capacity planning scenarios
Running the model or simulation
Analyzing results
Redesigning the network
Planning for growth
The continued role of NRP
Part 2: Case Studies
Chapter 8: Lucent Technologies
Project background
Lucent Technologies' objectives
Project tasks
Project overview
Project results
Usage results
Traffic analysis results
Application planning results
Capacity planning results
Project conclusions
Chapter 9: The 3M Company
Project background
3M Information Technology's objectives
Project tasks
Project activities
Baselining activities
Discovery results
System activity results
Circuit utilization results
Application planning activities
Benchmark activities
Test bed environment
Establishing quality of service goals
Data collection
PeopleSoft application profiles
PeopleSoft deployment projections
Capacity planning activities
Creating the baseline models
Modeling analysis results -- Logon scenario
Modeling analysis results -- General Ledger and Procurement scenario
Network redesign results
Project conclusions
Chapter 10: AlliedSignal
Project Background
Enterprise network infrastructure
Support for business units
Project scope
AlliedSignal's NRP objectives
Baselining process overview
Topological inventory
Traffic inventory
Traffic analysis
Business unit performance issues
Summary
Appendix A: Baseline model creation strategies
Peak utilization baseline model
Selecting the sample values
Advantages and disadvantages of a peak utilization baseline model
Merged peak utilization baseline model
Selecting the sample values
Advantages and disadvantages of a merged peak utilization baseline model
Peak volume baseline model
Selecting the sample values
Advantages and disadvantages of a peak volume baseline model
Merged peak volume baseline model
Selecting the sample values
Advantages and disadvantages of a merged peak volume baseline model
Average utilization or average volume baseline model
Appendix B: Tools for Network Resource Planning
Data collection and analysis tools
Router MIB statistical collection tools
Traffic Analyzers and RMON2 compatible probes
Performance management tools
Visualization/reporting and topology acquisition tools
Traffic import/consolidation and application profiling tools
Network Modeling/Simulation Tools (Simulation)
References
Appendix C: Glossary

Caractéristiques techniques

  PAPIER
Éditeur(s) Mc Graw Hill
Auteur(s) Annette Clewett, Dana Franklin, Ann Mccown
Parution 30/07/1998
Nb. de pages 356
EAN13 9780079136473

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