H03M7/30

Distributed data storage

According to an example aspect of the present invention, there is provided a method, comprising: receiving an input ordered set of transactions after a genesis block or a preceding compressed block in a chain of blocks, generating a compressed block on the basis of the input ordered set of transactions, wherein processing of the compressed block results to an equivalent final state as processing of the input ordered set of transactions, and providing the compressed block to a distributed network for establishing a new chain epoch and replacing a set of uncompressed blocks associated with the input ordered set of transactions.

Optionally compressed output from command-line interface

A method for presenting output returned by a command-line interface is disclosed. In one embodiment, such a method submits, by way of a command-line interface (CLI), a command to retrieve a list of resources. The method further submits, in association with the command, an indicator to compress the list. In response to receiving the command and indicator, the method retrieves the list of resources and compresses the list such that resources with identical attributes are presented as a single tuple in the list. Such a tuple may, in certain embodiments, identify the resources with identical attributes as a range of resources and/or as a comma delimited list of resources. The tuple may also, in certain embodiments, identify how many resources with identical attributes are represented by the tuple. A corresponding system and computer program product are also disclosed.

USING DRIVE COMPRESSION IN UNCOMPRESSED TIER
20230009942 · 2023-01-12 · ·

In a storage system such as a SAN, NAS, or storage array that implements hierarchical performance tiers based rated drive access latency, on-drive compression is used on data stored on a first tier and off-drive compression is used on data stored on a second tier. Off-drive compression is more processor intensive and may introduce some data access latency but reduces storage requirements. On-drive compression is performed at or near line speed but generally yields lower size reduction ratios than off-drive compression. On-drive compression may be implemented at a higher performance tier whereas off-drive compression may be implemented at a lower performance tier. Further, space saving realized from on-drive compression may be applied to over-provisioning.

USING DRIVE COMPRESSION IN UNCOMPRESSED TIER
20230009942 · 2023-01-12 · ·

In a storage system such as a SAN, NAS, or storage array that implements hierarchical performance tiers based rated drive access latency, on-drive compression is used on data stored on a first tier and off-drive compression is used on data stored on a second tier. Off-drive compression is more processor intensive and may introduce some data access latency but reduces storage requirements. On-drive compression is performed at or near line speed but generally yields lower size reduction ratios than off-drive compression. On-drive compression may be implemented at a higher performance tier whereas off-drive compression may be implemented at a lower performance tier. Further, space saving realized from on-drive compression may be applied to over-provisioning.

Compression, searching, and decompression of log messages
11593373 · 2023-02-28 · ·

Log messages are compressed, searched, and decompressed. A dictionary is used to store non-numeric expressions found in log messages. Both numeric and non-numeric expressions found in log messages are represented by placeholders in a string of log “type” information. Another dictionary is used to store the log type information. A compressed log message contains a key to the log-type dictionary and a sequence of values that are keys to the non-numeric dictionary and/or numeric values. Searching may be performed by parsing a search query into subqueries that target the dictionaries and/or content of the compressed log messages. A dictionary may reference segments that contain a number of log messages, so that all log message need not be considered for some searches.

Decoding device, decoding method, and program

Provided is a decoding device including a decoding unit configured to decode encoded data in which a differential signal that includes a differential between a tactile signal and a reference signal has been encoded, and a signal addition unit configured to add the reference signal and the differential signal. In addition, provided is a decoding method by a processor, the decoding method including decoding encoded data in which a differential signal that includes a differential between a tactile signal and a reference signal has been encoded, and adding the reference signal and the differential signal that has been decoded.

Sample array coding for low-delay

The entropy coding of a current part of a predetermined entropy slice is based on, not only, the respective probability estimations of the predetermined entropy slice as adapted using the previously coded part of the predetermined entropy slice, but also probability estimations as used in the entropy coding of a spatially neighboring, in entropy slice order preceding entropy slice at a neighboring part thereof. Thereby, the probability estimations used in entropy coding are adapted to the actual symbol statistics more closely, thereby lowering the coding efficiency decrease normally caused by lower-delay concepts. Temporal interrelationships are exploited additionally or alternatively.

Arrangements for communicating and processing data in a computing system

Systems and methods for reducing data movement in a computer system. The systems and methods use information or knowledge about the structure of an algorithm, operations to be executed at a receiving processing unit, variables or subsets or groups of variables in a distributed algorithm, or other forms of contextual information, for reducing the number of bits transmitted from at least one transmitting processing unit to at least one receiving processing unit or storage device.

Arrangements for communicating and processing data in a computing system

Systems and methods for reducing data movement in a computer system. The systems and methods use information or knowledge about the structure of an algorithm, operations to be executed at a receiving processing unit, variables or subsets or groups of variables in a distributed algorithm, or other forms of contextual information, for reducing the number of bits transmitted from at least one transmitting processing unit to at least one receiving processing unit or storage device.

Apparatus for Hardware Implementation of Heterogeneous Decompression Processing
20180011796 · 2018-01-11 ·

A processor includes a memory hierarchy, buffer, and a decompressor. The decompressor includes circuitry to read elements to be decompressed according to a compression scheme, parse the elements to identify literals and matches, and, with the literals and matches, generate an intermediate token stream formatted for software-based copying of the literals and matches to produce decompressed data. The intermediate token stream is to include a format for multiple tokens that are to be written in parallel with each other, and another format for tokens that include a data dependency upon themselves.