Bmc Software, Inc.

Graham Fox

Loc Dinh Tran

Sagar Rajendraprasad Bansal

The system and techniques described herein include receiving a transaction report from a log dataset, where the transaction report includes a class identifier (ID) for each of the transactions, a transaction execution count, and a total transaction response time. A first listing of the transactions is generated. An average number of unique transactions assigned to all of the classes and an average transaction execution count are calculated. A second listing of the transactions is generated that includes all of the transactions for the class IDs where the count of unique transactions assigned to the class is greater than the average number of unique transactions assigned to all of the classes. For each class ID and transaction name, the second listing is updated to identify one or more of the transactions as candidate transactions for running in a P-WFI region when the conditions are met.

Systems and methods for isolating transactions to a pseudo-wait-for-input region

System and techniques for determining an optimal number of regions in an IMS system include receiving a transaction report from a log dataset. A first table is generated from the transaction report, where the first table includes a class identified by a class identifier (ID), a number of regions the class is assigned, and a total percent region occupancy by the class. Classes ineligible to be shut down are identified based on a set of criteria and the classes ineligible to be shut down are eliminated. For each remaining class assigned to a threshold number of regions, candidate regions from the threshold number of regions eligible for shut down are identified and remaining regions from the threshold number of regions that can handle a workload from the candidate regions eligible for shut down are identified, where the remaining regions represent the optimal number of regions in the IMS system.

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Trinity, TX, United States of America

Graham Fox