List of Figures

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Preface

Figure 0-1: Multi-tier infrastructure for e-business

Figure 0-2: Life cycle of a Web site

Chapter 1: Prepare Your WebSphere Web Site for E-Business on Demand

Figure 1-1: Components of the IBM Server Allocation for WebSphere

Figure 1-2: High-level overview of an infrastructure using server allocation

Figure 1-3: Server allocation dashboard; servers are well below max SLAs in light traffic

Figure 1-4: Max SLAs are exceeded; Server Allocation will provision an application to Server 18

Figure 1-5: All installed servers are at capacity; an additional server is needed to maintain SLA

Figure 1-6: An additional server is processing stock trades; max SLAs are being maintained

Chapter 2: Architecture for Virtualization with WebSphere Application Server, V5

Figure 2-1: Transformation to a virtualized server environment

Figure 2-2: The role of WebSphere Application Server in a virtualized environment

Figure 2-3: Monitoring and the autonomic loop

Figure 2-4: WebSphere network deployment - cell environment

Figure 2-5: Vertical and horizontal clustering of application servers

Figure 2-6: Configuration 1 -- hardware level isolation

Figure 2-7: Configuration 2 -- application server sharing

Figure 2-8: Configuration 3 -- application server isolation

Figure 2-9: Configuration 4 -- WebSphere software level isolation

Figure 2-10: Application isolation vs. hardware cost

Figure 2-11: Trade-offs between application isolation and hosting cost

Figure 2-12: Configuration 5 -- horizontal clustering of two servers

Figure 2-13: Configuration 6 -- horizontal and vertical clustering

Figure 2-14: Configuration 7 -- coexistence of two WebSphere versions

Figure 2-15: Configuration 8 -- multiple applications in an application server (JVM)

Figure 2-16: Application categorization

Figure 2-17: A sample of a resource sharing virtualization environment

Figure 2-18: Increasing and decreasing capacity in a shared environment

Chapter 3: Advanced Clustering Techniques for Maximizing Web Site Availability with WebSphere Application Server, Version 5

Figure 3-1: Physical separation of Web and Application server tiers

Figure 3-2: Using Dispatcher to cluster the Web server tier

Figure 3-3: WebSphere plug-in as the load balancer for tier 2

Figure 3-4: Plug-in-cfg.xml load balancing attributes

Figure 3-5: External load balancer for application server load balancing

Figure 3-6: Clustering scenario using Dispatcher and Content Based Routing

Figure 3-7: Multi-tier load balancing for scalability and availability

Figure 3-8: Detail configuration to support application upgrade and rollback

Chapter 4: Resilience of WebSphere Portal Clusters Under Load

Figure 4-1: Illustration of workload management

Figure 4-2: Schematic of the test configuration

Figure 4-3: The test configuration

Figure 4-4: Failover tests 1 and 2

Figure 4-5: Failover test 3

Figure 4-6: Failover test 4

Figure 4-7: CPU use on four application servers during failure and recovery

Figure 4-8: Round Robin load balancing after installing the updated version of the WebSphere plug-in

Figure 4-9: Early load balancing example with random load balancing

Figure 4-10: Random load balancing with updated version of the WebSphere plug-in

Figure 4-11: Workload distribution when application server access to the database server was disabled

Figure 4-12: The effects of changing WebSphere timeout parameters on the depth and duration of workload depression on surviving servers in the presence of unresponsive clones

Figure 4-13: Color definitions for Figure 4-12

Chapter 5: How WebSphere Caches Dynamic Content for High-Volume Web Sites

Figure 5-1: Example of a dynamic page containing personalized data

Figure 5-2: Example of the dynamic page fragmented for caching

Figure 5-3: Examples of two-, three-, and four-tiered infrastructures

Figure 5-4: WebSphere Application Server Servlet/JSP Result Cache

Figure 5-5: Caching fragments with the Servlet/JSP Result Cache at application server

Figure 5-6: A stock list fragment

Figure 5-7: An example of cache replication

Figure 5-8: An example of exporting content to the external caches - WebSphere Edge Server

Figure 5-9: A screen shot of the Application Assembly Tool -- cache policy configuration

Chapter 6: Impact of Object Serialization and Local Enterprise JavaBeans on Application Server Performance

Figure 6-1: J2EE environment

Figure 6-2: User interface of simple application

Figure 6-3: UML diagram of objects used

Figure 6-4: Test topology

Figure 6-5: Tools- Load Runner and Windows performance monitor

Figure 6-6: Transaction rates for different object types (1 user CPU ~27%, 2 user CPU ~53%)

Figure 6-7: Response time cost for different object types

Figure 6-8: Comparison of transaction rate for different objects and number of users

Figure 6-9: Transaction rate of optimized and inherited objects

Chapter 7: Using IBM's Content Manager to Manage Web Content

Figure 7-1: Topology of applications discussed in this chapter

Figure 7-2: Topology of the WCM application

Chapter 9: High-Volume Web Site Performance Simulator for WebSphere

Figure 9-1: Web server topology

Figure 9-2: Overview of using the HVWS Performance Simulator

Figure 9-3: Starting performance simulator

Figure 9-4: User defined scenario

Figure 9-5: CPU service time helper

Figure 9-6: Setting objectives for performance simulator

Figure 9-7: Hardware topology specification

Figure 9-8: Specifying software components

Figure 9-9: Calculation results - overall

Figure 9-10: Calculation results - minimum response time

Figure 9-11: Calculation results - utilization

Figure 9-12: Calculation results - memory recommendation

Figure 9-13: Graph results

Figure 9-14: Pie chart results

Chapter 10: Sametime Links Scalability Report

Figure 10-1: Simple Sametime Links configuration

Figure 10-2: Large Sametime Links configuration

Figure 10-3: CPU usage of Sametime Links/MUX server

Figure 10-4: CPU usage of community hub server

Figure 10-5: CPU usage of typical Sametime Links/MUX server

Figure 10-6: CPU usage of community hub server

Figure 10-7: CPU usage of typical Sametime Links/MUX server

Figure 10-8: CPU usage of community hub server

Figure 10-9: CPU usage of typical Sametime Links/MUX server

Figure 10-10: CPU usage of typical community hub server

Figure 10-11: CPU usage of typical Sametime Links/MUX server

Figure 10-12: CPU usage of typical community hub server

Figure 10-13: CPU usage of typical Sametime Links/MUX server

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