Code 42 Software, Inc.

Crashplan Group LLC

Elasticsearch B.v.

Marshall Scorcio

Peter John Lindquist

Matthew Dornquast

Brian Bispala

Brad Armstrong

Christopher Parker

Damon Allison

Rory Lonergan

David Harsha

Mark Hoy

Sean Story

Brian Stevenson

Provided are systems and methods for automatic search query refinement. An example method commences with identifying a plurality of electronic sources of data content of an entity stored at different network-accessible locations. The content may be dynamically assigned fields based on criteria specified by the entity. Thereupon, a unified search interface may be provided to authorized users to search the content. A search query subsequently received from a user may be parsed. The method continues with determining, upon the parsing and based on predetermined rules, triggers associated with the search query. In some embodiments, the triggers include search triggers to be used for searching content, filter triggers to be applied for filtering search results, and structural triggers to be used for ranking the search results. The method further includes searching the content based on the triggers to retrieve the search results and providing the search results to the user.

Search query refinement using generated keyword triggers

In connection with a data distribution architecture, client-side 'deduplication' techniques may be utilized for data transfers occurring among various file system nodes. In some examples, these deduplication techniques involve fingerprinting file system elements that are being shared and transferred, and dividing each file into separate units referred to as 'blocks' or 'chunks.' These separate units may be used for independently rebuilding a file from local and remote collections, storage locations, or sources. The deduplication techniques may be applied to data transfers to prevent unnecessary data transfers, and to reduce the amount of bandwidth, processing power, and memory used to synchronize and transfer data among the file system nodes. The described deduplication concepts may also be applied for purposes of efficient file replication, data transfers, and file system events occurring within and among networks and file system nodes.

Deduplicated data distribution techniques

In connection with a data distribution architecture, client-side 'deduplication' techniques may be utilized for data transfers occurring among various file system nodes. In some examples, these deduplication techniques involve fingerprinting file system elements that are being shared and transferred, and dividing each file into separate units referred to as 'blocks' or &#x201c;chunks.&#x201d; These separate units may be used for independently rebuilding a file from local and remote collections, storage locations, or sources. The deduplication techniques may be applied to data transfers to prevent unnecessary data transfers, and to reduce the amount of bandwidth, processing power, and memory used to synchronize and transfer data among the file system nodes. The described deduplication concepts may also be applied for purposes of efficient file replication, data transfers, and file system events occurring within and among networks and file system nodes.

Systems and techniques for a distributed file system element collection are described herein. A node may identify a state of a file system element, which is identified in a file system element definition, from a local data store. The state corresponds to a distribution action. The file system element definition is one of a plurality of file system element definitions in a collection schema of a collection to which the node is a member. The node may, in response to identifying the state of the file system element, issue a communication to some members of the collection in furtherance of completion of the distribution action. A response may be received by the node from a participant node in the list of participant nodes. The node may complete the distribution action using content from the response.

Distributed file system backup and synchronization

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San Francisco, CA, United States of America

Marshall Scorcio