International Business Machines Corporation

James C Thorburn

Patrick Joseph O'Sullivan

Xi Li

Jesus Alberto Omana Iglesias

Qing Feng Zhang

Xue Feng Gao

Yu Fen Yuan

Hui Qing Shi

A method for event identification including receiving event information pertaining to events occurring with respect to a computing environment, each event having a measurement metric; evaluating by a probability function the measurement metric for each event to determine when the measurement metric is above a predetermined probability threshold or below a probability threshold wherein above a probability threshold or below a probability threshold is classified as alarm data; processing the alarm data through a decision tree to determine based on historical data when the alarm data is significant or when the alarm data is not significant and to reduce the number of alarm data to a predetermined number of significant alarm data; and displaying the predetermined number of significant alarm data to a user.

Event identification through machine learning

Mechanisms are provided for migrating a computing environment entitlement contract (CEEC) from one computing resource to another. These mechanisms generate one or more CEEC data structures, each CEEC data structure defining terms of a business level agreement between a contracting party and a provider of the data processing system. A CEEC cohort is generated comprising a collection of CEECs having similar terms. The one or more CEEC data structures are associated with a computing resource cohort and a seller of a CEEC data structure, in the one or more CEEC data structures and a buyer of the CEEC data structure, in the one or more CEEC data structures, is identified. The CEEC data structure is migrated from the seller to the buyer and workloads are executed in accordance with terms specified in the CEEC data structure at the buyer after migrating the CEEC data structure.

Migrating computing environment entitlement contracts between a seller and a buyer

An approach is provided to analyze data center performance. The approach includes analyzing the data centers, with each of the data centers are represented by a plurality of data center records. Available capacity at each of the data centers is identified based on the selected data center's set of data center records. In addition, a current workload currently being performed by each of the data centers is identified. The approach compares the identified current workload of each data center with the identified available capacity at the other data centers. Data centers are added to a consolidation consideration list in response to the comparisons. The consolidation consideration list is further analyzed to select data centers for consolidation or elimination.

Cohort cost analysis and workload migration

An approach is provided to visually depict cohort data to a user. The approach includes receiving a cohort display request (e.g., from a user, etc.). In response to the request, the approach retrieves a plurality of cohort data records, with each of the cohort data records corresponding to a cohort selected from a group of cohorts. In this approach, the group of cohorts represent similar computer systems. The approach displays a set of graphic user interface (GUI) controls on a display device, with each of the GUI controls corresponds to one of the retrieved cohort data records. A user selection is received that corresponds to a selected one of the GUI controls. The system responds by executing a cohort action on the cohort corresponding to the selected GUI control.

Cohort manipulation and optimization

Mechanisms are provided for managing computing resources relative to a computing environment entitlement contract. These mechanisms generate one or more computing environment entitlement contract (CEEC) data structures, each CEEC data structure defining terms of a business level agreement between a contracting party and a provider of the data processing system. A CEEC cohort is generated comprising a collection of CEECs having similar terms. Utilization of a collection of computing resources in accordance with the similar terms of the collection of CEECs is monitored to identify a usage pattern within the CEEC cohort. Membership of a CEEC in the CEEC cohort based on the identified usage pattern is modified based on the monitored utilization.

Managing computing environment entitlement contracts and associated resources using cohorting

Mechanisms for reserving computing resources of a data processing system are provided. These mechanisms generate one or more computing environment entitlement contract (CEEC) data structures, each CEEC data structure defining terms of a business level agreement between a contracting party and a provider of the data processing system. These mechanisms associate a set of computing resources with a CEEC data structure. The mechanisms then manage the set of one or more computing resources in accordance with the associated CEEC. Such management includes, in response to a contracting party failing to utilize the computing resources in the selected computing resource cohort for a specified purpose at approximately a specified level and pattern of intensity during approximately a specified period of time, all of which are identified in the CEEC data structure, then the CEEC data structure is invalidated or nullified.

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Toronto, Canada

James C Thorburn