Bmc Software, Inc.

Ca, Inc.

Bmc Helix, Inc.

Sai Eswar Garapati

Erhan Giral

Ashish Singh

Ashish Kumar Singh

Pradeep Kumar Das

Vijay Kishore Kalakotla

Described systems and techniques determine causal associations between events that occur within an information technology landscape. Individual situations that are likely to represent active occurrences requiring a response may be identified as causal event clusters, without requiring manual tuning to determine cluster boundaries. Consequently, it is possible to identify root causes, analyze effects, predict future events, continuously generate a knowledge graph, and prevent undesired outcomes, even in complicated, dispersed, interconnected systems.

Continuous knowledge graph generation using causal event graph feedback

Described systems and techniques determine causal associations between events that occur within an information technology landscape. Individual situations that are likely to represent active occurrences requiring a response may be identified as causal event clusters, without requiring manual tuning to determine cluster boundaries. Consequently, it is possible to identify root causes, analyze effects, predict future events, and prevent undesired outcomes, even in complicated, dispersed, interconnected systems.

Probabilistic root cause analysis

Directed incremental clustering of causally related events using multi-layered small world networks

Recommendations for remedial actions

Directed incremental clustering of causally related events

A method includes storing a plurality of workloads in a first disk resource associated with a high end disk classification. The method further includes determining a corresponding activity level for each of the plurality of workloads. The method also includes classifying each of the plurality of workloads into a first set indicative of high-priority workloads and a second set indicative of low-priority workloads based on whether the corresponding activity level is greater than a threshold activity level. The method further includes determining whether a second disk resource associated with a low end disk classification can accommodate storage of a first particular workload in the second set based on an available storage capacity of the second disk resource. The method additionally includes migrating the first particular workload from the first disk resource to the second disk resource.

Prioritizing and distributing workloads between storage resource classes

A method includes determining a plurality of configuration entries based on received provisioning requests and further based on provisioning system resource utilization data. Each configuration entry includes a corresponding virtual system template, and a corresponding number of virtual systems to be provisioned. The method also includes provisioning the corresponding number of virtual systems for a first configuration entry in the plurality of configuration entries. The corresponding number of virtual systems are provisioned based on the corresponding virtual system template for the first configuration entry. The method additionally includes storing the provisioned virtual systems in a resource pool and processing a provisioning request utilizing a pre-provisioned virtual system stored in the resource pool.

Adaptive system provisioning

Growing community of inventors

Hyderabad Telangana, India

Sai Eswar Garapati