DataKinetics

High-performance mainframe in-memory technology can be used to accelerate your existing batch applications – particularly those in environments experiencing ultra-high transaction processing rates. It augments the database, as well as existing contemporary batch solutions, like data buffering.

This technology works by allowing select data to be accessed using a much shorter code path than most data. The typical Db2 code path requires 10,000 to 100,000 machine cycles – and that includes any type of buffered access. This image shows the typical code path (top).

Data accessed using high-performance in-memory technology uses only 400 machine cycles – the image above also shows this code path (bottom). Only a small portion of your read-only data – the data accessed most often – needs to be accessed in this way.

Small amounts of data that gets accessed for most or all transactions – account numbers, interest rates, etc., are copied into high-performance in-memory tables. From there, it is accessed via a small, tight API. All other data access is unchanged. No changes are required to application logic or to the database.

Using this technique, it is possible to not only sharply reduce batch I/O, but more importantly, it can significantly reduce elapsed time – which can solve a batch window congestion problem. It can also reduce CPU usage – which translates directly to reduced MSU usage and therefore, reduced operational costs associated with any affected application. The image above shows the benefits.

If you are a large IT organization running mission-critical batch processing to reduce your execution times from two times to two orders of magnitude, tableBASE can help you achieve your goals depending on their business type and the specific characteristics of your batch applications. Give us a call.