Abstract: Utilities for use in actively detecting the occurrence of bad blocks in NAND flash storage devices and diagnosing the devices as faulty at some point before complete failure of the devices (e.g., before a number of allowable bad blocks has been reached) to allow a corresponding service processor to continue to write to available blocks for a period of time until a replacement NAND flash device can be identified. The utilities may also be utilized to predict the future occurrence of bad blocks in NAND flash devices, such as during the “burn-in” process of the devices (e.g., which tests the quality of the NAND flash device before being placed into service to weed out devices with defects).

Abstract: Utilities for use in actively detecting the occurrence of bad blocks in NAND flash storage devices and diagnosing the devices as faulty at some point before complete failure of the devices (e.g., before a number of allowable bad blocks has been reached) to allow a corresponding service processor to continue to write to available blocks for a period of time until a replacement NAND flash device can be identified. The utilities may also be utilized to predict the future occurrence of bad blocks in NAND flash devices, such as during the “burn-in” process of the devices (e.g., which tests the quality of the NAND flash device before being placed into service to weed out devices with defects).

Abstract: Methods and computer-readable media are provided for determining suggested queries. A user enters a search website, and the user is identified based on a user identification. Suggested queries are determined based on a group associated with the user. This association is created by extracting queries from data logs, categorizing the queries into groups based on their respective subject matter, associating the user with one or more groups, and determining suggested queries for each group. The suggested queries are communicated for display.