IBM eServer X3 Architecture: Application Server Performance Gains
The ability of application servers to deliver high performance varies greatly, depending on the specifics of any given customer’s workload. IBM raises the bar for scalable, high-performance application servers with the introduction of IBM eServer X3 Architecturethe ground-breaking third-generation of the IBM Enterprise X-Architecture XA-64e™ chipset. Incorporating this new chipset, the IBM eServer xSeries 366 and 460 have demonstrated unprecedented levels of performance and availability. X3 Architecture’s performance advantage over the competition, given various typical application server functions, has been demonstrated by recently published record-setting benchmark results (http://www-03.ibm.com/servers/eserver/xseries/benchmarks).
Given a variety of typical application server functions, IBM eServer X3 Architecture offers great improvements, in every instance, in overall system performance through the use of features not available on any competitor’s system. This paper will illustrate the benefits of IBM eServer X3 Architecture for typical application server functions, such as SSL encryption, messaging, Web service interactions (e.g., SOAP/XML serialization), HTTP services, and ODBC database interactions under various types of application server workloads. The paper presents the results of various test scenarios used to highlight the performance improvements that the reader can expect from systems based on X3 Architecture.
The term “application server” is applied broadly in the server world, but it typically pertains to a “middle-tier” server that receives requests from client systems, retrieves data from a separate database, and performs some data processing before returning a response. In this paper, the term “application server” refers to the commonly deployed, managed application server environments, such as Java™ application servers (e.g., IBM WebSphere®) and Microsoft® .NET application servers. The performance characteristics described in this paper were obtained from statistics collected from a selection of Microsoft .NET 1.1 applications running on an IBM eServer xSeries 366.
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