Scalability, Performance, and Productivity Benefits of Large Memory

Project and Program: MVS, MVS Core Technologies

Tags: Proceedings, 2014, SHARE in Pittsburgh 2014

An increasing number of applications today rely on in-memory caches, heaps, indexes, bufferpools and hashtables for scaling for the performance that is required by large workloads and big data. System z Large Memory and N-way Scaling allow applications on z to transparently extend their memory footprints  to hundreds of Gigabytes in order to achieve high in-memory hit rates that are vital to high performance. Large Memory has numerous  benefits including:
–Improving user transaction response times and increasing overall  throughput for OLTP workloads
–Enabling faster real time data analysis for Analytic workloads by reducing the time it takes to get from raw data to business insight
–Processing Big Data more efficiently by increasing the speed at which large amounts of data can be scanned
–Simplifying the deployment of scalable applications within cloud infrastructures

This session will present system z's Large Memory Strategy and illustrate the benefits of large memory for Enterprise workload environments.-Elpida Tzortzatos-IBM Corporation

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