Abstract: A method comprises detecting a defective area in a Dynamic Random Access Memory (DRAM). The method further comprises establishing a redundant memory buffer at a per-memory module level. The method still further comprises loading the redundant memory buffer with a copy of data from the defective area. The method additionally comprises substituting data from the redundant memory buffer for data stored in the defective area upon a memory access to the defective area.

Abstract: Tools for use in obtaining useful information from processed log messages generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). The log messages may be processed by one or more processing engines (e.g., “log managers”) using any appropriate rule base to identify “events” (i.e., log messages of somewhat heightened importance), and one or more “event managers” may analyze the events to determine whether alarms should be generated therefrom. The tools may be accessed via any appropriate user interface of a console that is in communication with the various log managers, event managers, etc., to perform numerous tasks in relation to logs, events and alarms.

Abstract: An advanced intelligence engine (AIE) for use in identifying what may be complex events or developments on one or more data platforms or networks from various types of structured or normalized data generated by one or more disparate data sources. The AIE may conduct one or more types of quantitative, correlative, behavioral and corroborative analyses to detect events from what may otherwise be considered unimportant or non-relevant information spanning one or more time periods. Events generated by the AIE may be passed to an event manager to determine whether further action is required such as reporting, remediation, and the like.

Abstract: Tools for use in obtaining useful information from processed log messages generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). The log messages may be processed by one or more processing platforms or “log managers” using any appropriate rule base to identify “events” (i.e., log messages of somewhat heightened importance), and one or more “event managers” may analyze the events to determine whether alarms should be generated therefrom. The tools may be accessed via any appropriate user interface of a console that is in communication with the various log managers, event managers, etc., to perform numerous tasks in relation to logs, events and alarms.

Abstract: Tools for use in obtaining useful information from processed log messages generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). The log messages may be processed by one or more processing platforms or “log managers” using any appropriate rule base to identify “events” (i.e., log messages of somewhat heightened importance), and one or more “event managers” may analyze the events to determine whether alarms should be generated therefrom. The tools may be accessed via any appropriate user interface of a console that is in communication with the various log managers, event managers, etc., to perform numerous tasks in relation to logs, events and alarms.

Abstract: The present invention generally relates to log message processing such that events can be detected and alarms can be generated. For example, log messages are generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). Often, relatively large numbers of logs are generated from these platforms in different formats. A log manager described herein collects such log data using various protocols (e.g., Syslog, SNMP, SMTP, etc.) to determine events. That is, the log manager may communicate with the network platforms using appropriate protocols to collect log messages therefrom. The log manager may then determine events (e.g., unauthorized access, logins, etc.) from the log data and transfer the events to an event manager. The event manager may analyze the events and determine whether alarms should be generated therefrom.

Abstract: The present invention generally relates to log message processing such that events can be detected and alarms can be generated. For example, log messages are generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). Often, relatively large numbers of logs are generated from these platforms in different formats. A log manager described herein collects such log data using various protocols (e.g., Syslog, SNMP, SMTP, etc.) to determine events. That is, the log manager may communicate with the network platforms using appropriate protocols to collect log messages therefrom. The log manager may then determine events (e.g., unauthorized access, logins, etc.) from the log data and transfer the events to an event manager. The event manager may analyze the events and determine whether alarms should be generated therefrom.

Abstract: A method comprises detecting a defective area in a Dynamic Random Access Memory (DRAM). The method further comprises establishing a redundant memory buffer at a per-memory module level. The method still further comprises loading the redundant memory buffer with a copy of data from the defective area. The method additionally comprises substituting data from the redundant memory buffer for data stored in the defective area upon a memory access to the defective area.

Abstract: The present invention generally relates to log message processing such that events can be detected and alarms can be generated. For example, log messages are generated by a variety of network platforms (e.g., Windows servers, Linux servers, UNIX servers, databases, workstations, etc.). Often, relatively large numbers of logs are generated from these platforms in different formats. A log manager described herein collects such log data using various protocols (e.g., Syslog, SNMP, SMTP, etc.) to determine events. That is, the log manager may communicate with the network platforms using appropriate protocols to collect log messages therefrom. The log manager may then determine events (e.g., unauthorized access, logins, etc.) from the log data and transfer the events to an event manager. The event manager may analyze the events and determine whether alarms should be generated therefrom.

Abstract: This invention provides material conveying systems that are configured to convey substantially uniform quantities of material to and/or from the material sites and to minimize periodic variation among the conveyed quantities of material. Related computer program products and methods are also provided.