DB2 UDB for z/OS Version 8 Performance Topics - IBM Redbooks

7.5.3 Conclusion
The new XML publishing functions outperform significantly the corresponding UDFs from the
XML extender.
7.5.4 Recommendation
For the purpose of composing XML documents from DB2 data the use of the XML publishing
function is preferred over the corresponding DB2 XML extender UDFs. They are generally
more efficient, flexible and versatile than the DB2 XML Extender publishing functions.
7.6 Enterprise Workload Manager
7.6.1 Introduction
Look at Enterprise Workload Manager (EWLM) as z/OS WLM applied to a heterogeneous
environment. EWLM introduces the goal-oriented z/OS WLM philosophy to all platforms.
See the book IBM Enterprise Workload Manager, SG24-6350, for a detailed description of
EWLM.
Enterprise Workload Manager enables you to automatically monitor and manage multi-tiered,
distributed, heterogeneous or homogeneous workloads across an IT infrastructure to better
achieve defined business goals for end-user services. These capabilities allow you to identify
work requests based on service class definitions, track performance of those requests across
server and subsystem boundaries, and manage the underlying physical and network
resources to set specified performance goals for each service class. By bringing this
self-tuning technology to the set of servers, routers, and other devices enabled with Java
virtual machine support, Enterprise Workload Manager can help enable greater levels of
performance management for distributed systems.
In the first release, the Enterprise Workload Manager provides goal-based end to end
performance monitoring of an application and influences network traffic routing decisions by
network load balancers for improved application performance and server effectiveness. A
systems administrator will be able to monitor multiple servers, answering such questions as:
► How well is the work progressing?
► Are the business commitments for end-user service being met?
► If the performance goals are not being met, which components of which servers are
causing the problem?
► Which type of user is being affected by the problem?
And performing such tasks as:
► Easily identifying where time is being spent in a distributed application that spans different
operating systems, applications, networks and routers.
► Specifying a performance goal that applies to each class of user of a distributed
application.
► Identifying which servers are actively supporting a given application and what applications
are running on a given server.
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