International Business Machines Corporation

Tareq Al-Maamari

Klaus Rindtorff

Heinz Peter Hippenstiel

Andreas Arning

Raiko Nitzsche

Subhi Al Hasan

Jan Zimbehl

Andrew Edgar

Julian Mario Skupnjak

A method, computer program product and computer system for predicting excessive resource usage in a distributed computing environment is provided. A processor retrieves a portion of code associated with a workload in a distributed computing environment. A processor retrieves account information associated with the workload. A processor determines a likelihood that the workload is indicative of excessive resource usage based on the portion of code and the account information associated with the workload. In response to the likelihood of excessive resource usage exceeding a threshold, a processor reschedules the workload in the distributed computing environment.

Detection and handling of excessive resource usage in a distributed computing environment

Embodiments of the present invention provide computer-implemented methods, computer program products, and computer systems. Specifically, embodiments of the present invention can dynamically adjust individual message retention times in a messaging system is disclosed. Embodiments of the present invention can then receive a plurality of messages, store the plurality of messages in a storage system, determine continuously, by the messaging system, interactions with messages stored by the messaging system, and determine dynamically, by the messaging system, a retention score value for selected messages based on a sum of weighted interactions type count values of the determined interactions. Finally, embodiments of the present invention can delete by the messaging system, messages for which the retention score value is below a predetermined retention threshold value.

Adaptive message retention time based on user interaction

A method, computer program product, and computer system for retaining messages. Bins for having messages stored for different retention periods are provided. Each message is of a message type. Messages are received and each received message is assigned to a bin. For each message determined to have an age exceeding a retention period of the message's assigned bin, the message is reassigned to a bin having a next higher retention period.

Adaptive message retention

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Holzgerlingen, Germany

Tareq Al-Maamari