6947ch08.fm

Draft Document for Review April 7, 2004 6:15 pm

The WASDB workload reflects a new-e-business production environment that uses WebSphere applications and a DB2 data base all running in z/OS.

WASDB is a collection of Java classes, Java Servlets, Java Server Pages and Enterprise Java Beans integrated into a single application. It is designed to emulate an online brokerage firm. WASDB was developed using the VisualAge® for Java and WebSphere Studio tools. Each of the components is written to open Web and Java Enterprise APIs, making the WASDB application portable across J2EE-compliant application servers.

￿OLTP-W (Web-enabled On-line workload):

The OLTP-W workload reflects a production environment that has web-enabled access to a traditional data base. For the LSPR, this has been accomplished by placing a WebSphere front-end to connect to the LSPR CICS/DB2 workload.

The J2EE application for legacy CICS transactions was created using the CICS Transaction Gateway (CTG) external call interface (ECI) connector enabled in a J2EE server in WebSphere for z/OS V4.0.1. The application uses the J2EE architected Common Client Interface (CCI). Clients access WebSphere services using HTTP Transport Handler. Then the appropriate servlet is run through the webcontainer, which calls EJBs in the EJB Container. Using the CTG external call interface (ECI,) CICS is called to invoke DB2 to access the database and obtain the information for the client.

￿OLTP-T (Traditional On-line workload - formerly IMS):

The OLTP-T workload consists of light-to-moderate IMS transactions from DLI applications covering diverse business functions. These applications all make use of IMS functions such as logging and recovery. Conversational and wait-for-input transactions are included in the workload.

￿CMS1 (CMS workload used for z/VM):

The CMS workload is designed to represent a VM/CMS end-user community. Processor time per command, I/Os per command, T/V ratio, and think time distribution are similar to those observed for actual VM production systems running large numbers of CMS users.

￿WASDB/LVm (Linux guests under z/VM running WebSphere Application Serving and Data Base):

The WASDB/LVm workload reflects a server consolidation environment where the servers being consolidated were running a full function application. For LSPR, this was accomplished by taking the WASDB workload, splitting it across a pair of Linux guests (one guest for application and one guest for database), and then replicating the Linux-pair many times to reflect the consolidation of many independent servers. The software levels used were Linux SLES 7, WAS 4.0.4 and UDB 7.0.

￿HSRV/LV (Linux guests under z/VM performing HTTP Serving):

The HSRV/LV workload reflects a server consolidation environment where the servers being consolidated were performing HTTP serving.

The workload simulates browsers accessing Web pages of mainly HTML files and their graphics. The bulk of the files range in size from 1 KB to 100 KB, with a small number of files greater than 1 MB being accessed. This last set simulates a large file being downloaded. A driving system is used to send requests to the system under test. Client subprocesses, or threads, generate an independent stream of HTTP requests, pausing in between requests so that on average it generates the specified number of requests per second.

￿WASDB/L (WebSphere Application Serving and Data Base under Linux):

The WASDB/L workload reflects an e-business environment where a full function application is being run under Linux in logical partition. For LSPR this was accomplished

226IBM eServer zSeries 990 Technical Guide

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990 specifications

The IBM 990 series, often referred to in the context of IBM's pioneering efforts in the realm of mainframe computing, represents a unique chapter in the history of information technology. Introduced in the late 1960s, the IBM 990 series was designed as a powerful tool for enterprise-level data processing and scientific calculations, showcasing the company's commitment to advancing computing capabilities.

One of the main features of the IBM 990 was its architecture, which was built to support a wide range of applications, from business processing to complex scientific computations. The system employed a 32-bit word length, which was advanced for its time, allowing for more flexible and efficient data handling. CPUs in the IBM 990 series supported multiple instructions per cycle, which contributed significantly to the overall efficiency and processing power of the machines.

The technology behind the IBM 990 was also notable for its use of solid-state technology. This provided a shift away from vacuum tube systems that were prevalent in earlier computing systems, enhancing the reliability and longevity of the hardware. The IBM 990 series utilized core memory, which was faster and more reliable than the magnetic drum memory systems that had been standard up to that point.

Another defining characteristic of the IBM 990 was its extensibility. Organizations could configure the machine to suit their specific needs by adding memory, storage, and peripheral devices as required. This modular approach facilitated the growth of systems alongside the technological and operational demands of the business environments they served.

In terms of software, the IBM 990 series was compatible with a variety of operating systems and programming environments, including FORTRAN and COBOL, enabling users to access a broader array of applications. This versatility was a significant advantage, making the IBM 990 an appealing choice for educational institutions, research facilities, and enterprises alike.

Moreover, the IBM 990 was engineered to support multiprocessing, which allowed multiple processes to run simultaneously, further increasing its effectiveness in tackling complex computing tasks.

In summary, the IBM 990 series represents a significant advancement in computing technology during the late 20th century. With a robust architecture, versatile configuration options, and a focus on solid-state technology, the IBM 990 facilitated substantial improvements in data processing capabilities, making it a cornerstone for many businesses and academic institutions of its time. Its impact can still be seen today in the continued evolution of mainframe computing.
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