Importing Consumer CSS Files in IFrame Portlets
27.4.2 Using Connection Pooling
You may be able to improve performance by using existing database connections. You can limit the number of connections, timing of the sessions and other parameters by modifying the connection strings. See Section 2.7, Reuse Database Connections for more information on configuring the database connection pools.27.4.3 Setting the Max HeapSize on JVM
This is a application-specific tunable that enables a trade off between garbage collection times and the number of JVMs that can be run on the same hardware. Large heaps are used more efficiently and often result in fewer garbage collections. More JVM processes offer more fail over points. See Section 2.4, Tune Java Virtual Machines JVMs for more information.27.4.4 Increasing Memory or CPU
Aggregating more memory andor CPU on a single hardware resource allows localized communication between the instances sharing the same hardware. More physical memory and processing power on a single machine enables the JVMs to scale and run much larger and more powerful instances, especially 64-bit JVMs. Large JVMs tend to use the memory more efficiently, and Garbage Collections tend to occur less frequently. In some cases, adding more CPU means that the machine can have more instruction and data cache available to the processing units, which means even higher processing efficiency. See Section 2.2, Ensure the Hardware Resources are Sufficient for more information.27.4.5 Segregation of Network Traffic
Network-intensive applications can introduce significant performance issues for other applications using network. Segregating the network traffic of time-critical applications from network-intensive applications, so that they get routed to different network interfaces, may reduce performance impacts. It is also possible to assign different routing priorities to the traffic originating from different network interfaces.27.4.6 Segregation of Processes and Hardware Interrupt Handlers
When planning for the capacity that a specific hardware resource can handle, it is important to understand that the operating system may not be able to efficiently schedule the JVM processes as well as other system processes and hardware interrupt handlers. The JVM may experience performance impacts if it shares even a few of its CPU cores with the hardware interrupt handlers. For example, disk and network-intensive applications may induce performance impacts that are disproportionate to the load experienced by the CPU. In addition, hardware interrupts can prevent the active Java threads from reaching a GC-safe point efficiently. Separating frequent hardware interrupt handlers from the CPUs running the JVM process can reduce the wait for Garbage Collections to start. It may also be beneficial to dedicate sibling CPUs on a multi-core machine to a single JVM to increase the efficiency of its CPU cache. If multiple processes have to share the CPU, the data and instruction cache can be contaminated with the data and instructions from both processes, thus reducing the amount of the cache used effectively. Assigning the processes to specific CPU cores, however, can make it impossible to use other CPU cores during peak load bursts. The capacity managementParts
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» Related Documentation Oracle Fusion Middleware Online Documentation Library
» About Identifying Top Performance Areas
» Ensure the Hardware Resources are Sufficient
» Selecting a Garbage Collection Scheme
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» Logging Low Memory Conditions
» Monitoring and Profiling the JVM
» Initialization Parameters for Oracle 10g
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» Enable Data Source Statement Caching
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» About Oracle Fusion Middleware Performance Planning
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» Oracle WebLogic Server Administration Console
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» Oracle Process Manager and Notification Server Oracle Enterprise Manager 11g Grid Control
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» How Persistent Connections Can Reduce Httpd Process Availability
» Access Logging Oracle HTTP Server Logging Options
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» Monitoring Oracle HTTP Server
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» Understanding DMS Event Output
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» About Oracle Metadata Services MDS
» Reclaim Disk Space Monitor the Database Performance
» Using Database Polling Interval for Change Detection
» Document Cache Tuning Cache Configuration
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» Understanding DMS metrics and Characteristics
» About Oracle ADF Oracle Fusion Middleware Online Documentation Library
» Oracle ADF Faces Configuration and Profiling
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» Creating View Objects View Objects Tuning
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» Optimizing Performance with Oracle ADF
» About SOA Suite Configuration Properties
» Configuring Data Sources for SOA Weblogic Server Performance Tuning
» Modifying SOA Configuration Parameters JVM Tuning Parameters About Oracle Business Rules
» Use Java Beans Basic Tuning Considerations
» Assert Child Facts instead of Multiple Dereferences
» Avoid Side Affects in Rule Conditions
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» Consider Pattern Ordering Basic Tuning Considerations
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» Dispatcher Invoke Threads BPEL Threading Model
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» Audit Level Basic Tuning Considerations
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» Tables Impacted By Instance Data Growth
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» Process Measurement Tuning Process Analytics
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» Minimize Client Response Time
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» Reduce the Number of Return Query Columns Use the Aggregate API for Charting Task Statistics
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» Minimize Performance Impacts from Notification
» Deploy Clustered Nodes Improving Server Performance
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» JCA Adapter Basic Tuning Considerations
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» About Oracle Internet Directory
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» Entry Cache Enabled Configuration
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» Optimizing Searches for Skewed Attributes
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» Updating Database Statistics by Using oidstats.sql
» Setting Performance-Related Replication Configuration Attributes
» Modifying Instance-Specific Attributes by Using Fusion Middleware Control
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» Modifying Performance-Related Instance-Specific Configuration Entry Attributes
» About Oracle Virtual Directory Basic Tuning Considerations
» Database Adapters Advanced Tuning Configurations
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» About Oracle Identity Federation Oracle HTTP Server Tuning
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» OPSS PDP Service Tuning Parameters
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» Configuring the Log Assertion to Record SOAP Messages
» Monitoring the Performance of Web Services
» Setting System Limit Setting JDBC Data Source
» Setting JRockit Virtual Machine JVM Arguments Using Content Compression to Reduce Downloads
» Setting HTTP Session Timeout Setting JSP Page Timeout
» Setting ADF Client State Token
» Setting ADF View State Compression
» Setting MDS Cache Size and Purge Rate Configuring Concurrency Management
» Tuning Performance of the Announcements Service
» Tuning Performance of the Discussions Service
» Tuning Performance of the Portlet Service
» Enabling Java Object Cache for WSRP Producers
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» Tuning Performance of Oracle PDK-Java Producers
» Setting ExcludedActionScopeRequestAttributes for Portlets
» Setting DefaultServedResourceRequiresWsrpRewrite for WSRP Portlets
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» CPU Requirements Memory Requirements
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