Abstract: A method for memory-efficient backup of a logical-to-physical (LtoP) table in a storage device having a processor, a volatile memory, and a non-volatile memory, includes retrieving and subsequently processing, by the processor, a plurality of flushed zone segments stored in a first block stripe of the non-volatile memory in an order opposite to an order of storage of the plurality of flushed zone segments in the first block stripe in the non-volatile memory, wherein the processing of the plurality of flushed zone segments includes identifying a retrieved flushed zone segment of the plurality of flushed zone segments differing from all previously retrieved plurality of flushed zone segments, and writing the identified retrieved flushed zone segment of the plurality of flushed zone segments to a second block stripe of the non-volatile memory.

Abstract: A lamp assembly provides light in a downward direction as well as in an upward direction through the use of angled housing walls and windows in the lamp assembly housing. Modularity and sliding elements enable the lamp assembly to be easily assembled and also easily repaired. A back cover on the lamp assembly is configured such that the lamp assembly is easily installed. Lamp heat management includes active and passive elements.

Abstract: A method of maintaining and updating a logical-to-physical (LtoP) table in a storage device including a processor, a volatile memory, and a non-volatile memory, the storage device being in communication with a host utilizing atomic writes, the method including receiving, by the processor, data for storing at a plurality of physical addresses in the non-volatile memory, the data being associated with a plurality of logical addresses of the host, storing, by the processor, the plurality of physical addresses in an atomic segment in the volatile memory, storing, by the processor, one or more of zones of the LtoP table in the non-volatile memory, the one or more zones of the LtoP table corresponding in size to the atomic segment, and updating the one or more zones of the LtoP table with the plurality of physical addresses in the atomic segment.

Abstract: a method for memory-efficient backup of a logical-to-physical (LtoP) table in a storage device having a processor, a volatile memory, and a non-volatile memory, includes retrieving and subsequently processing, by the processor, a plurality of flushed zone segments stored in a first block stripe of the non-volatile memory in an order opposite to an order of storage of the plurality of flushed zone segments in the first block stripe in the non-volatile memory, wherein the processing of the plurality of flushed zone segments includes identifying a retrieved flushed zone segment of the plurality of flushed zone segments differing from all previously retrieved plurality of flushed zone segments, and writing the identified retrieved flushed zone segment of the plurality of flushed zone segments to a second block stripe of the non-volatile memory.

Abstract: A method of maintaining and updating a logical-to-physical (LtoP) table in a storage device including a processor, a volatile memory, and a non-volatile memory, the storage device being in communication with a host, the method including receiving, by the processor, data for storing at a physical address in the non-volatile memory, the data being associated with a logical address of the host, storing, by the processor, the physical address in a first LtoP zone of a plurality of LtoP zones of the LtoP table, the LtoP table being stored in the volatile memory, adding, by the processor, the first LtoP zone to a list of modified zones, and storing, by the processor, a second LtoP zone of the plurality of LtoP zones in the non-volatile memory when a size of the list of modified zones exceeds a threshold.

Abstract: System and methods for enhanced data processing and analysis in a storage device, such as a solid state drive (SSD) include an SSD having a data storage and a controller. The data storage stores a plurality of data sets. The controller has a pattern buffer and a data engine. The controller receives a query, processes the query to extract a pattern, loads the pattern into the pattern buffer, and accesses the data storage. The data engine searches a data subset from the data storage for instances of the pattern using a rolling window method. The controller generates a result from the search.

Abstract: A system and method of providing enhanced data processing and analysis in a storage device, such as a solid state drive (SSD). The SSD includes flash memory and an SSD controller capable of executing searches on the data in the flash memory without returning all of the data to be searched to a host CPU outside of the SSD. Other processing capabilities incorporated into the SSD may include encryption and decryption, compression and decompression, and in-line indexing of data. The SSD efficiently processes queries through the use of an internal data buffer and a data engine configured to search partial data.

Abstract: A system and method for operating a solid state drive (SSD) within power limitations while maintaining SSD performance. In one embodiment a power management integrated circuit (PMIC) is used to measure power consumption, and a built-in self-test (BIST) procedure is used to exercise the storage device, and to calibrate the power consumed by various SSD operations. The results are stored in a power consumption cost table. In one embodiment, a procedure to dynamically adjust the power consumption cost table is employed. A power credit allocation scheme is used, along with the power consumption cost table, to track and limit the power consumed by the SSD in operation.

Abstract: A system and method for storing infrequently accessed data with reduced power consumption. In one embodiment, a solid state drive (SSD) includes flash memory and environmental data logging circuitry. The SSD is shut off or operated in a sleep mode to reduce power consumption, and turned on or transitioned to an active mode as needed when data on the SSD is to be accessed, or when a calculation, based on a number of erase cycles previously performed in the flash memory and on a temperature history of the SSD indicates that a data refresh may be needed to prevent data corruption in the SSD, due to data retention limitation of the nonvolatile memory in the SSD.

Abstract: A system and method of providing enhanced data processing and analysis in a storage node, such as a solid state drive (SSD). The SSD includes flash memory and an SSD processing unit capable of executing searches and analysis on the data in the flash memory without returning all of the data to be searched to a host CPU outside of the SSD. Other processing capabilities incorporated into the SSD may include encryption and decryption, compression and decompression, and in-line indexing of data, and data analytics.

Abstract: A system and method for operating a solid state drive (SSD) within power limitations while maintaining SSD performance. In one embodiment a power management integrated circuit (PMIC) is used to measure power consumption, and a built-in self-test (BIST) procedure is used to exercise the storage device, and to calibrate the power consumed by various SSD operations. The results are stored in a power consumption cost table. In one embodiment, a procedure to dynamically adjust the power consumption cost table is employed. A power credit allocation scheme is used, along with the power consumption cost table, to track and limit the power consumed by the SSD in operation.

Abstract: A system and method for storing infrequently accessed data with reduced power consumption. In one embodiment, a solid state drive (SSD) includes flash memory and environmental data logging circuitry. The SSD is shut off or operated in a sleep mode to reduce power consumption, and turned on or transitioned to an active mode as needed when data on the SSD is to be accessed, or when a calculation, based on a number of erase cycles previously performed in the flash memory and on a temperature history of the SSD indicates that a data refresh may be needed to prevent data corruption in the SSD, due to data retention limitation of the nonvolatile memory in the SSD.

Abstract: A method of maintaining and updating a logical-to-physical (LtoP) table in a storage device including a processor, a volatile memory, and a non-volatile memory, the storage device being in communication with a host utilizing atomic writes, the method including receiving, by the processor, data for storing at a plurality of physical addresses in the non-volatile memory, the data being associated with a plurality of logical addresses of the host, storing, by the processor, the plurality of physical addresses in an atomic segment in the volatile memory, storing, by the processor, one or more of zones of the LtoP table in the non-volatile memory, the one or more zones of the LtoP table corresponding in size to the atomic segment, and updating the one or more zones of the LtoP table with the plurality of physical addresses in the atomic segment.

Abstract: A method of maintaining and updating a logical-to-physical (LtoP) table in a storage device including a processor, a volatile memory, and a non-volatile memory, the storage device being in communication with a host, the method including receiving, by the processor, data for storing at a physical address in the non-volatile memory, the data being associated with a logical address of the host, storing, by the processor, the physical address in a first LtoP zone of a plurality of LtoP zones of the LtoP table, the LtoP table being stored in the volatile memory, adding, by the processor, the first LtoP zone to a list of modified zones, and storing, by the processor, a second LtoP zone of the plurality of LtoP zones in the non-volatile memory when a size of the list of modified zones exceeds a threshold.

Abstract: A system and method of providing enhanced data processing and analysis in a storage device, such as a solid state drive (SSD). The SSD includes flash memory and an SSD processing unit capable of executing searches on the data in the flash memory without returning all of the data to be searched to a host CPU outside of the SSD. Other processing capabilities incorporated into the SSD may include encryption and decryption, compression and decompression, and in-line indexing of data.

Abstract: A system and method of providing enhanced data processing and analysis in an infrastructure for distributed computing and large-scale data processing. This infrastructure uses the Hadoop™ framework to divide an application into a large number of small fragments of work, each of which may be performed on one of a large number of compute nodes. The work may involve map tasks and reduce tasks which may be used to categorize and analyze large amounts of data in distributed systems. This infrastructure includes a cluster with a master node and a plurality of slave nodes. The slave nodes may include, or may be, intelligent solid-state drives capable of executing Map-Reduce functions. The use of intelligent solid-state drives reduces the need to exchange data with a CPU in a server.

Abstract: A system and method of providing enhanced data processing and analysis in a storage device, such as a solid state drive (SSD). The SSD includes flash memory and an SSD processing unit capable of executing searches on the data in the flash memory without returning all of the data to be searched to a host CPU outside of the SSD. Other processing capabilities incorporated into the SSD may include encryption and decryption, compression and decompression, and in-line indexing of data.

Abstract: A system and method of providing enhanced data processing and analysis in a storage node, such as a solid state drive (SSD). The SSD includes flash memory and an SSD processing unit capable of executing searches and analysis on the data in the flash memory without returning all of the data to be searched to a host CPU outside of the SSD. Other processing capabilities incorporated into the SSD may include encryption and decryption, compression and decompression, and in-line indexing of data, and data analytics.

Abstract: A system and method for storing infrequently accessed data with reduced power consumption. In one embodiment, a solid state drive (SSD) includes flash memory and environmental data logging circuitry. The SSD is shut off or operated in a sleep mode to reduce power consumption, and turned on or transitioned to an active mode as needed when data on the SSD is to be accessed, or when a calculation, based on a number of erase cycles previously performed in the flash memory and on a temperature history of the SSD indicates that a data refresh may be needed to prevent data corruption in the SSD, due to data retention limitation of the nonvolatile memory in the SSD.

Abstract: A method of maintaining and updating a logical-to-physical (LtoP) table in a storage device including a processor, a volatile memory, and a non-volatile memory, the storage device being in communication with a host, the method including receiving, by the processor, data for storing at a physical address in the non-volatile memory, the data being associated with a logical address of the host, storing, by the processor, the physical address in a first LtoP zone of a plurality of LtoP zones of the LtoP table, the LtoP table being stored in the volatile memory, adding, by the processor, the first LtoP zone to a list of modified zones, and storing, by the processor, a second LtoP zone of the plurality of LtoP zones in the non-volatile memory when a size of the list of modified zones exceeds a threshold.