This IBM® RedpaperTM publication discusses the need to monitor and measure different workloads, especially mobile workloads. It introduces the workload classification capabilities of IBM z SystemsTM platforms and helps you to understand how recent enhancements to IBM MVSTM Workload Management (WLM) and other IBM software products can be used to measure the processor cost of mobile workloads. This paper looks at how mobile-initiated and other transactions in IBM CICS®, IMSTM, DB2®, and WebSphere® Application Server can be "tagged and tracked" using WLM. For each of these subsystems, the options for classifying mobile requests and using WLM to measure mobile workloads are reviewed. A scenario is considered in which a bank is witnessing a significant growth in mobile initiated transactions, and wants to monitor and measure the mobile channels more closely. This paper outlines how the bank can use WLM to do this. This publication can help you to configure WLM mobile classification rules. It can also help you to interpret Workload Activity reports from IBM RMFTM Post Processor and to report on the CPU consumption of different workloads, including mobile and public cloud workloads.
It goes without saying that 2009 was a year of unprecedented change in global banking. The challenges that financial institutions are facing require them to cut costs but also to regain trust and improve the service that they provide to an increasingly sophisticated and demanding set of customers. In the past, siloed and rigid IT systems often inhibited banks in their attempts to re-engineer their business processes. The IBM® smarter banking initiative highlights how more intelligent software can be used to significantly improve the end-to-end integration of banking processes. In this IBM Redbooks® publication, we aim to show how software technologies, such as SOA, Web 2.0 and event driven architectures, can be used to implement smarter banking solutions. Our focus is on CICS® Transaction Server, which is at the heart of most bank's core banking implementations.
It goes without saying that 2009 was a year of unprecedented change in global banking. The challenges that financial institutions are facing require them to cut costs but also to regain trust and improve the service that they provide to an increasingly sophisticated and demanding set of customers. In the past, siloed and rigid IT systems often inhibited banks in their attempts to re-engineer their business processes. The IBM® smarter banking initiative highlights how more intelligent software can be used to significantly improve the end-to-end integration of banking processes. In this IBM Redbooks® publication, we aim to show how software technologies, such as SOA, Web 2.0 and event driven architectures, can be used to implement smarter banking solutions. Our focus is on CICS® Transaction Server, which is at the heart of most bank's core banking implementations.
This IBM® RedpaperTM publication discusses the need to monitor and measure different workloads, especially mobile workloads. It introduces the workload classification capabilities of IBM z SystemsTM platforms and helps you to understand how recent enhancements to IBM MVSTM Workload Management (WLM) and other IBM software products can be used to measure the processor cost of mobile workloads. This paper looks at how mobile-initiated and other transactions in IBM CICS®, IMSTM, DB2®, and WebSphere® Application Server can be "tagged and tracked" using WLM. For each of these subsystems, the options for classifying mobile requests and using WLM to measure mobile workloads are reviewed. A scenario is considered in which a bank is witnessing a significant growth in mobile initiated transactions, and wants to monitor and measure the mobile channels more closely. This paper outlines how the bank can use WLM to do this. This publication can help you to configure WLM mobile classification rules. It can also help you to interpret Workload Activity reports from IBM RMFTM Post Processor and to report on the CPU consumption of different workloads, including mobile and public cloud workloads.
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