AUTOMATED EVENT MANAGEMENT

• US 20150081885A1
• Filed: 04/30/2012
• Published: 03/19/2015
• Est. Priority Date: 04/30/2012
• Status: Active Grant

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Micro Focus LLC (Open Text Corporation)
• Inventors: Thomas, Jeffery Darrel, Weiss, Jeffrey Lee
• Granted Patent: US 10,404,551 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: H04L 41/5054 Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level

Abstract

Automating servicing of event managements within a cloud network. Such automation includes: identifying and receiving controlled instructions from clients and monitoring and aggregating data related to employing the resources, for correlation of data to pattern of events. Events can then be mapped to standard prescriptive actions and/or remedial measure—or alternatively the clients are enabled to determine the actions required.

Claims

1. A system of automated event management for a cloud network, comprising:

a policy management component that identifies controlled instructions associated with service events on the cloud network, the controlled instructions received from clients of the cloud network;

an orchestration engine and cloud controller that respond to the service events based in-part on the controlled instructions;

the orchestration engine and the cloud controller automatically execute instructions based on the service events; and

an element lifecycle automation component that controls resources of the cloud network at points of operations, and further executes automation processes for domains of the cloud network based in-part on the service events and the resources.

2. The system of claim 1 further comprising a monitoring and data collection component that monitors the resources as the resources are used in real-time.

3. The system of claim 2 further comprising an aggregation component that aggregates data from across the cloud network for a parsing thereof to identify event patterns.

4. The system of claim 3 further comprising a correlation component that filters the service events to designate actionable events that are parsed against standard events.

5. The system of claim 4 further comprising an event processing component that maps correlated events to actions in the cloud network.

6. The system of claim 5 further comprising an event handler component that maps an event to an action that corrects the event.

7. The system of claim 6 further comprising a pooling component that enables access of clients to the resources.

8. The system of claim 7 further comprising an isolation component that defines zones of operations in the cloud network for the clients.

9. A method of managing events for cloud services, comprising:

receiving control instructions from clients of cloud services;

instantiating a run time environment for the clients in the cloud services;

correlating collected data to identify event patterns associated with operations on domains of the cloud services; and

mapping actions to the event patterns, to automatically supply remedial measures.

10. The method of claim 9 further comprising checking the control instructions to determine whether an action is to be generated.

11. The method of claim 9 further comprising verifying whether a client service limit is in range.

12. The method of claim 11 further comprising inhibiting an action.

13. The method of claim 12 further comprising inferring actions based on events of the cloud services.

14. The method of claim 12 further comprising submitting resources to the clients.

15. A system of event-management in a cloud, comprising:

at least one memory that stores computer-executable instructions;

at least one processor that facilitates execution of the computer-executable instructions to at least;

receive policies associated with operation of the cloud;

distribute the policies across the cloud;

aggregate data from the cloud and correlate the data to identify patterns of errors encountered in the cloud,

automatically execute remedial actions to correct errors encountered in the cloud in substantially real time.