Hewlett-packard Development Company, L.p.

Jon Christopher Connelly

Eric William Loy

Adam Michael Carr

Kimberly C Horn

Dejan S Milojicic

Craig W Bryant

Timothy F Forell

Brian Cox

Alan G Nemeth

Milica Tutush Yonkaitis

Dian Hansen

Robert Glenn Shurtleff, Iii

Stewart W Mayott

Martin Shumway

A technique includes using a computer agent to observe diagnoses of computer-related incidents. Based on the observation, patterns are identified in the diagnoses, and based at least in part on the patterns, the diagnoses are selectively automated.

Automating diagnoses of computer-related incidents

In a service-based remote support delivery system, service engineers supported by an analysis server receive incident reports from both personal computers and from unmanned servers within an enterprise. The incidents arise both from user-created reports of problems, from event annunciators that monitor hardware and software to report events as they occur, and from the periodic gathering of configuration data. These incident reports are combined with host information and contact information and are transmitted to the analysis server as the central site for processing. All incidents in large enterprises are first collected and stored on an SPOP node. Both proactive and reactive system monitoring is thus combined into a uniform system.

Method and framework for service-based remote support delivery

A method for analyzing the root cause of system failures on one or more computers. An event is generated when a computer system detects a system failure. The cause of the failure is determined. The event, including the cause is transmitted from the computer system to a central repository. And the system failure is analyzed in the central repository.

Method and apparatus for automating the root cause analysis of system failures

The present invention relates to a method, system, computer program product, or apparatus that schedules and executes events within a network in real-time. An event processor contacts one or more event schedulers, and it receives back from them event schedule updates. It then calculates the time when each event is to occur from information contained in the received scheduling information for each event. Next, it places event scheduling information contained in the received scheduling information for each event, plus the calculated occurrence time of the corresponding event, into an event queue. Finally, at the time when each event is to occur, as indicated by examination of the calculated times in the event queue, the event processor sends out event firing messages to event processors that are named in the received scheduling information for each event.

Method and apparatus and program for scheduling and executing events in real time over a network

In a service-based remote support delivery system and method, service engineers supported by an analysis server receive incident reports from both personal computers and from unmanned servers within an enterprise. The incidents arise both from user-created reports of problems, from event annunciators that monitor hardware and software to report events as they occur, and from the periodic gathering of configuration data. These incident reports are combined with host information and contact information and are transmitted to the analysis server.

Method for using self-help technology to deliver remote enterprise support

A fault tolerant availability meter includes agents for stand-alone computers and each node of a cluster. The agents monitor availability with timestamps and report uptime and downtime events to a server. Additionally, agents on nodes of a cluster monitor cluster, node and package availability and cluster configuration changes and report these event to the server. Events are stored locally on the stand-alone computers and nodes, and additionally, on the server. Events are tracked with a sequence numbers. If the server receives an out-of-sequence event, an agent-server recovery procedure is initiated to restore the missing events from either the agents or the server. The server may generate availability reports for all monitored entities, including one or more stand-alone computers and one or more clusters of computers. Availability is distinguished by planned and unplanned downtime. Furthermore, unavailable and unreachable systems are identified.

Growing community of inventors

Windsor, CO, United States of America

Jon Christopher Connelly