International Business Machines Corporation

Piotr M Plachta

Balakrishna Raghavendra Iyer

Steven Wayne White

Wolfram Sauer

Garret Frederick Swart

Gopi K Attaluri

Xun Xue

James Liam Finnie

Stewart L Palmer

Roger L Q Zheng

Roger Lq Zheng

In a shared data system comprising one or more primary nodes and a plurality of secondary nodes, global lock manager on a primary node manages locks for shared resources by exchanging an abstract lock state with local lock managers on the secondary nodes. The abstract lock state includes a particular representation of all of the applications on the nodes that are requesting or are granted locks. The exchange of these particular lock states instead of individual requests improves performance by increasing concurrency and reducing off-machine communication. A global deadlock detector on a node detects and resolves global deadlocks, in conjunction with local deadlock detectors on the secondary nodes.

Two-level management of locks on shared resources

Some aspects of the invention provide methods, systems, and computer program products for creating a static dictionary in which longer byte-strings are preferred. To that end, in accordance with aspects of the present invention, a new heuristic is defined to replace the aforementioned frequency count metric used to record the number of times a particular node in a data tree is visited. The new heuristic is based on counting the number of times an end-node of a particular byte-string is visited, while not incrementing a count for nodes storing characters in the middle of the byte-string as often as each time such nodes are visited. The result is an occurrence count metric that favors longer byte-strings, by being biased towards not incrementing the respective occurrence count values for nodes storing characters in the middle of a byte-string.

Methods of creating a dictionary for data compression

A system and computer readable storage medium for creating an in-memory physical dictionary for data compression are provided. A new heuristic is defined for converting each of a plurality of logical nodes into a corresponding physical node forming a plurality of physical nodes. Each of the physical nodes are placed into the physical dictionary while traversing the dictionary tree in descending visit count order. Each physical node is placed in its nearest ascendant's cache-line with sufficient space. If there is no space in any of the ascendant's cache-line, then the physical node is placed into a new cache-line, unless a pre-defined packing threshold has been reached, in which case the physical node is placed in the first available cache-line.

Method and system for creating an in-memory physical dictionary for data compression

Some aspects of the invention provide methods for creating an in-memory physical dictionary for data compression. To that end, in accordance with aspects of the present invention, a new heuristic is defined for converting each of the plurality of logical nodes into a corresponding physical node forming a plurality of physical nodes; then place each of the physical nodes into the physical dictionary while traversing the dictionary tree in descending visit count order. Each physical node is placed in its nearest ascendant's cache-line with sufficient space. If there is no space in any of the ascendant's cache-line, then the physical node is placed into a new cache-line, unless a pre-defined packing threshold has been reached, in which case the physical node is placed in the first available cache-line.

Method for creating an in-memory physical dictionary for data compression

Some aspects of the invention provide methods, systems, and computer program products for creating a static dictionary in which longer byte-strings are preferred. To that end, in accordance with aspects of the present invention, a new heuristic is defined to replace the aforementioned frequency count metric used to record the number of times a particular node in a data tree is visited. The new heuristic is based on counting the number of times an end-node of a particular byte-string is visited, while not incrementing a count for nodes storing characters in the middle of the byte-string as often as each time such nodes are visited. The result is an occurrence count metric that favours longer byte-strings, by being biased towards not incrementing the respective occurrence count values for nodes storing characters in the middle of a byte-string.

Growing community of inventors

Toronto, Canada

Piotr M Plachta