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RELIABILITY

BrandOwner (click to sort)
%) Cole, Terence
%) Cole, Terence
AIR SOLUTIONS INGERSOLL-RAND COMPANY
ANY+1 MITEL NETWORKS CORPORATION
AVSIM ISOGRAPH LTD.
BENTLY NEVADA - THE PLANT ASSET MANAGEMENT COMPANY BENTLY NEVADA, LLC
BLUE PUPPY SOLUTIONS, INC. Blue Puppy Solutions, Inc.
CERIAS Trustees of Purdue University, The
CERIAS Purdue University
DIAMOND CERTIFIED PRE-OWNED VEHICLE PROGRAM RDM DISTRIBUTING, INC.
DVQ-NET Cole, Terence
ENCOMPASS Toshiba America Business Solutions, Inc.
ENSR INTERNATIONAL ENSR International Corporation
ENSR INTERNATIONAL ENSR International Corporation
ESTEAM The Informatics Applications Group, Inc.
FAIR Shell Trademark Management B.V.
GEMFIRE DB VIRTUALIZER Gemstone Systems, Inc.
GROWLTECH: Security & Standards Limited
IERIN ERIN ENGINEERING AND RESEARCH, INC.
ION POWER MEASUREMENT LTD.
LATRAN TECHNOLOGIES LATRAN TECHNOLOGIES LLC
LOGICACMG LOGICACMG PLC
MARSYS Mariner Systems, Inc.
MERIT Shell Trademark Management B.V.
MERIT Shell Trademark Management B.V.
MYSHIPVI INTERGRAPH CORPORATION
ONSPEX CANADIAN STANDARDS ASSOCIATION
S SKYWARE SkyWare, Inc.
SCIENCE AND TECHNOLOGY FOR A SAFER WORLD SCIENTECH, LLC
SCIENTECH SCIENTECH, LLC
SCIENTECH SCIENTECH, LLC
SERVICE INTERACTIVE Service Interactive, Inc.
SKYWARE SkyWare, Inc.
SPACESAFE NORTHROP GRUMMAN CORPORATION
SQ INSTITUTE Board of Regents, The University of Texas System
SQUARE TRADE SquareTrade, Inc.
SURETV Calderwood, Richard
SWISS CERTIFIED Hans, Wyssen
TRIAX Carbon Steel Inspection, Inc.
TRUSTPLUS TRUSTPLUS INC.
VISION@WORK PowerVision Corporation
WHEN COMMITMENT MATTERS The Informatics Applications Group, Inc.
Technical Examples
  1. A decoding method for decoding Low-Density Parity Check codes in transmission and recording systems includes a running minimum loop with the following iterative acts: reading a reliability value from the input sequence of input reliability values; comparing the reliability value with a stored value; and overwriting the stored value with the reliability value if the reliability value is smaller than the stored value.
  2. A decoder system for concatenated codes such as turbo codes, comprises at least two component decoders mutually coupled through a reliability value handler for handling reliability values. The reliability value handler comprises a scaling unit for providing non linearly scaled reliability values. This reduces the reliability values provided by the component decoders, such that the non linearly scaled reliability values better reflect the genuine reliability information or Log Likelihood Ratio (LLR) in a practical realization of the decoder system generally having sub optimal component decoders.
  3. Disclosed is a software application reliability and availability tracking and reporting mechanism that collects event data from target computers, analyzes the data, and produces reliability and availability reports. A network administrator specifies target computers for which event data are collected. The collected event data along with a reliability model are provided to a reliability and availability analysis engine. Output from the engine includes reliability and availability data expressed as durations of time spent in each state and as associations with the events. The reliability and availability data are fed to a report generator which computes reliability and availability metrics. The metrics are used to generate reports that can be interpreted by the network administrator without the need for specialized data analysis skills. The metrics are also aggregated to provide historical and relative ranking reliability and availability data useful for planning and tracking against reliability and availability objectives.
  4. Disclosed is a software application reliability and availability tracking and reporting mechanism that collects event data from target computers, analyzes the data, and produces reliability and availability reports. A network administrator specifies target computers for which event data are collected. The collected event data along with a reliability model are provided to a reliability and availability analysis engine. Output from the engine includes reliability and availability data expressed as durations of time spent in each state and as associations with the events. The reliability and availability data are fed to a report generator which computes reliability and availability metrics. The metrics are used to generate reports that can be interpreted by the network administrator without the need for specialized data analysis skills. The metrics are also aggregated to provide historical and relative ranking reliability and availability data useful for planning and tracking against reliability and availability objectives.
  5. An inexpensive storage system is disclosed along with methods of managing such a system. In one preferred embodiment, the system includes a high performance high reliability storage medium configured for initial storage of data, a low performance high reliability storage medium configured for backup of data initially stored on the high performance high reliability storage medium, and a high performance low reliability storage medium, configured to receive data transferred from the high performance high reliability storage medium, after the data has been backed up on the low performance high reliability storage medium. This significantly reduces the cost of the system without substantially comprising performance. Reliability is likewise maintained owing to the high reliability backup.

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