8238results about "Non-redundant fault processing" patented technology

Automatic data collection devices such as barcode readers, RFID readers, magnetic stripe readers and the like may be tested using ADC device test executables, modules or processes stored at a variety of network locations. One or more sets of tests or work lists may be defined to facilitate testing. Tests may be identified by name and / or keyword. Keywords may be indicative one or more functionalities tested by the respective ADC device test module.

Failover processing in storage server system utilizes policies for managing fault tolerance (FT) and high availability (HA) configurations. The approach encapsulates the knowledge of failover recovery between components within a storage server and between storage server systems. This knowledge includes information about what components are participating in a Failover Set, how they are configured for failover, what is the Fail-Stop policy, and what are the steps to perform when “failing-over” a component.

One embodiment provides an error detection method wherein single-bit errors in a memory module are detected and identified as being a random error or a repeat error. Each identified random error and each identified repeat error occurring in a time interval is counted. An alert is generated in response to a number of identified random errors reaching a random-error threshold or a number of identified repeat errors reaching a repeat-error threshold during the predefined interval. The repeat-error threshold is set lower than the random-error threshold. A hashing process may be applied to the memory address of each detected error to map the location of the error in the memory system to a corresponding location in an electronic table.

A storage device failure in a computer storage system can be analyzed by the storage system by examining relevant information about the storage device and its environment. Information about the storage device is collected in real-time and stored; this is an on-going process such that some information is continuously available. The information can include information relating to the storage device, such as input / output related information, and information relating to a storage shelf where the storage device is located, such as a status of adjacent storage devices on the shelf. All of the relevant information is analyzed to determine a reason for the storage device failure. Optionally, additional information may be collected and analyzed by the storage system to help determine the reason for the storage device failure. The analysis and supporting information can be stored in a log and / or presented to a storage system administrator to view.

The present invention efficiently recovers an error drive by suppressing futile copying. When the number of errors of the disk drive is equal to or more than a first threshold, data stored in the disk drive is copied to a spare drive by a drive copy section. When the number of errors of the disk drive is equal to or more than a second threshold prior to completion of the drive copy, the disk drive is closed, and a correction copy by a correction copy section is started in place of the drive copy. The correction copy section starts the correction copy from the position where the drive copy is interrupted by taking over the drive copy completion position (copy interrupt position) managed by a copy progress condition management section.

A cable network repair control system including a server communicating with multiple call-handling clients in a trouble call center. The databases are used to automatically determine an associated network device for the customer who makes a trouble call. When a second call is received for a particular network device, an inferencing engine automatically operates to identify potential repairs crews and to control communication with them to ensure that optimum use of the repair crew time and quick repair. Various tables are generated dynamically and are used to update management status tables for reviewing of network repair status.

A system and method for dynamically generating alarm thresholds for performance metrics, and for applying those thresholds to generate alarms is described. Statistical methods are used to generate one or more thresholds for metrics that may not fit a Gaussian or normal distribution, or that may exhibit cyclic behavior or persistent shifts in the values of the metrics. The statistical methods used to generate the thresholds may include statistical process control (SPC) methods, normalization methods, and heuristics.

Systems, methods, and computer readable storage mediums for generating an alert on a failure of a storage subsystem to phone home to the cloud in a replication environment. A dataset is replicated from a first storage subsystem to a second storage subsystem. The first and second storage subsystems also phone home log data to the cloud on a periodic basis. In response to detecting a failure of the first storage subsystem to phone home, the cloud generates and sends an alert to the second storage subsystem. In response to receiving this alert, the second storage subsystem starts disaster recovery operations for the dataset.

The invention provides a system and method for remotely diagnosing and repairing a plurality of Automatic Data Collection (“ADC”) device platforms. A remote service technician utilizes a computing system having browsing software that communicates with a network of ADC platform devices. Diagnostic queries for particular ADC devices may be retrieved by the browsing software from a diagnostic server that sends Hypertext Mark-Up Language (“HTML”) documents, Dynamic Hypertext Mark-Up Language (“DHTML”) documents, and / or Extensible Mark-Up Language (“XML”) documents containing appropriate diagnostic applets. The remote technician sends diagnostic queries to a Simple Network Management Protocol (“SNMP”) master agent at the ADC device platform, and a translator translates the diagnostic queries sent to the ADC device platform into a format suitable for reception by its ADC devices in order to effect anomaly diagnosis and functionality restoration. Another translator translates data received from the ADC device into the SNMP format for transmission to the remote service technician in order for the remote service technician to perform diagnostic analysis. The SNMP master agent communicates with the remote computing system using the Transmission Control Protocol (“TCP”), the User Datagram Protocol / Internet Protocol (“UDP / IP”), and / or the User Datagram Plus Protocol (“UDP+”). The ADC platform device may also utilize a wireless communication system for communicating with the remote service technician.

Web control validation may be defined using one or more declarations that are included in an ASP+ file by the web page author. The declarations specify server-side objects that validate the input data received in the web page and provide error handling in the event of a validation failure error. Validation declaration parameters specify the validation criteria against which the input data is validated. Example validation operations involve regular expressions, required fields, data comparison, range comparison and custom validation. Validation parameters can also specify- either server-side validation or client-side validation, depending on the client browser's capabilities. In a server-side scenario, a server-side validation object processes the input data received in an HTTP request from the client. In a client-side scenario, a server-side validation object renders the appropriate client-side code to validate the input data without a round trip between the client and the server.

A computer system used in monitoring another computer system provides both textual resolution information describing a likely solution for a problem encountered in the monitored computer system as well as component information that relates to the particular problem. The component information includes the various hardware, software and operating conditions found in the monitored computer system. The monitoring computer system determines if a condition of a predetermined severity exists in the monitored computer system according to diagnostic information provided from the monitored computer system. The diagnostic information is represented in the monitoring computer system as a hierarchical representation of the monitored computer system. The hierarchical representation provides present state information indicating the state of hardware and software components and operating conditions of the monitored computer system. The resolution information relating to the condition is retrieved from a resolution database and relevant component information is retrieved from the hierarchical representation of the computer system and presented to a support engineer to assist them in diagnosing the problem in the monitored computer system.