A data compression method includes: obtaining a to-be-compressed object; searching a recommendation record for a recommended compression coding rule that meets a compression rate condition, the recommendation record being configured to record a compression coding rule of a historical compressed object and corresponding compression rate information, and the historical compressed object being of a same type as the to-be-compressed object; and if the recommended compression coding rule that meets the compression rate condition is found, compressing the to-be-compressed object by using the recommended compression coding rule; and if the recommended compression coding rule that meets the compression rate condition is not found, starting a regular compression coding process to obtain estimated compression rates of a plurality of compression coding rules for the to-be-compressed object, selecting a target compression coding rule based on at least the estimated compression rates, and compressing the to-be-compressed object by using the target compression coding rule.

Disclosed herein is a method of transmitting data, the method comprising: obtaining a plurality of data blocks; determining a plurality of values of a transmission parameter for a transmitter; determining a plurality of values of a processing parameter of a processor; determining, for each of the obtained data blocks, one of a plurality of compression levels in dependence on at least one of the determined transmission parameter values and/or at least one processing parameter values; compressing each of a plurality data blocks in dependence on the determined compression level each block; and transmitting the data blocks; wherein: the transmitted data blocks comprise data blocks are compressed with different compression levels; and one of the compression levels is a determination to not compress data blocks such that the method does not compress some of the transmitted data blocks.

One example method includes file specific compression selection. Compression metrics are generated for a chunk of a file. Using a set of training data, the compression metrics are corrected using a correction factor to determine estimated file compression metrics. A compressor is then selected to compress the file based on at least the estimated file compression metrics.

A data compression method includes: obtaining a to-be-compressed object; searching a recommendation record for a recommended compression coding rule that meets a compression rate condition, the recommendation record being configured to record a compression coding rule of a historical compressed object and corresponding compression rate information, and the historical compressed object being of a same type as the to-be-compressed object; and if the recommended compression coding rule that meets the compression rate condition is found, compressing the to-be-compressed object by using the recommended compression coding rule; and if the recommended compression coding rule that meets the compression rate condition is not found, starting a regular compression coding process to obtain estimated compression rates of a plurality of compression coding rules for the to-be-compressed object, selecting a target compression coding rule based on at least the estimated compression rates, and compressing the to-be-compressed object by using the target compression coding rule.

A method for managing data includes obtaining a compression algorithm selection request for a data object, wherein the data object is generated by a production host, identifying, in response to the compression algorithm selection request, a set of production host performance objectives of the production host, performing a compression algorithm selection analysis using the set of production host performance objectives and a compression selection model to obtain a compression algorithm selection for a compression algorithm, specifying the compression algorithm to the production host using a data agent, wherein the data agent is operatively connected to the production host, initiating a compression on the data object using the data agent by applying the compression algorithm to obtain a compressed data object, and initiating a storage of the compressed data object.

One example method includes file specific compression selection. Compression metrics are generated for a chunk of a file. Using a set of training data, the compression metrics are corrected using a correction factor to determine estimated file compression metrics. A compressor is then selected to compress the file based on at least the estimated file compression metrics.

An information processing device obtains an increasing tendency of a storage capacity utilized by a blog containing at least one article, sets, to the blog, a threshold for determining whether or not to compress at least a part of the article contained in the blog in accordance with the increasing tendency, determines whether or not the blog is to be compressed based on a total data amount of the at least one article contained in the blog and on the threshold, and determines whether or not to compress each of the at least one article contained in the blog in accordance with a degree of accessibility.

Techniques for genetic programming based compression determination are described herein. An aspect includes adding a first plurality of randomly generated compression algorithms to a first set of compression algorithms. Another aspect includes determining a respective mutated version of each of the first plurality of randomly generated compression algorithms. Another aspect includes adding the determined mutated versions to the first set of compression algorithms. Another aspect includes evaluating and ranking the first set of compression algorithms based on respective achieved degrees of compression.

In one embodiment, an apparatus includes: a compression circuit to compress data blocks of one or more traffic classes; and a control circuit coupled to the compression circuit, where the control circuit is to enable the compression circuit to concurrently compress data blocks of a first traffic class and not to compress data blocks of a second traffic class. Other embodiments are described and claimed.

Disclosed is an operating method of a semiconductor device, including acquiring resource information on a plurality of hardware resources, receiving a compression request or a decompression request for data, acquiring context information on the semiconductor device, in response to receiving the compression request or the decompression request for the data, selecting a compression algorithm for compressing or decompressing the data, based on the context information, selecting, among the plurality of hardware resources, a hardware resource for performing the selected compression algorithm, based on the acquired resource information, and compressing or decompressing the data using the selected compression algorithm and the selected hardware resource.