Storediq, Inc.

International Business Machines Corporation

Peter A Lee

Keith T Zoellner

Laura Arbilla

Jeff G Bone

Bradley Might

Brett A Funderburg

A Paul Jimenez

Morry Belkin

Jeremy Kaplan

Gordon W Arbeitman

Brad Might

Alan Richard Tannenbaum

Eric E Scott

Jozsef Szalay

Yu L An

Satwik Hebbar

Amir Jaibaji

Dmitriy Blok

Gunnar P Seaburg

Anthony S Akins

Dimitriy Blok

Disclosed are systems, methods and apparatuses for managing objects (files and directories) in network file systems according to policies. Each policy may have one or more rules, each of which ties a condition to an action. Each condition can be expressed in terms of metadata harvested across file systems and stored in a metadata repository. The actions are user-programmable. Users can apply and/or enforce a policy by manipulating the metadata stored in the metadata repository. For example, suppose a policy prohibits storing MP3 files in corporate storage, a user can specify a rule that ties the condition 'no MP3 files in volumes A-Z' to an action 'delete MP3 files from volumes A-Z.' A file management application may apply a filter to the metadata repository to produce metadata records having values that meet the specified condition and take the corresponding action on managed objects associated with those metadata records.

System, method and apparatus for enterprise policy management

Embodiments of a classification pipeline disclosed herein have the ability to both collect data as it occurs and dynamically redact it, allowing ongoing statistics to be gathered and maintained while simultaneously constraining the total amount of storage capacity that must be dedicated to such a purpose. Various types of information can be extracted from or obtained on the object through the classification pipeline. In one embodiment, the classification pipeline comprises a plurality of layers implemented as a set of services available to network clients through a Web interface or an Applications Programming Interface (API). Each client can subscribe to one or more layers of the classification pipeline at their leisure and tailor their classification pipeline configuration through the interface. The classification pipeline can be configured to collaborate with other software to provide a consistent snapshot of the state of a network environment based on data collected at the time.

Classifying objects

Embodiments of preservation solutions are presented herein. In particular, embodiments of such preservation solution may access a collaborative platform to preserve a collaborative content object by determining if any objects of a collaborative content object have been previously preserved. If none of the objects have been previously preserved, an archive for that collaborative content object may be created and stored. If, however, at least one of the objects of the collaborative object have been previously preserved, it can be determined if any objects of the compound content object have changed since the collaborative content object was previously preserved. An archive for only these changed objects (if any exist) may then be created and stored. Using these archives, at some point a review archive may be created and used to review the state of the collaborative content objects.

Collection of data from collaboration platforms

A harvester is disclosed for harvesting metadata of managed objects (files and directories) across file systems which are generally not interoperable in an enterprise environment. Harvested metadata may include 1) file system attributes such as size, owner, recency; 2) content-specific attributes such as the presence or absence of various keywords (or combinations of keywords) within documents as well as concepts comprised of natural language entities; 3) synthetic attributes such as mathematical checksums or hashes of file contents; and 4) high-level semantic attributes that serve to classify and categorize files and documents. The classification itself can trigger an action in compliance with a policy rule. Harvested metadata are stored in a metadata repository to facilitate the automated or semi-automated application of policies.

Harvesting file system metsdata

Embodiments of desktop agents for use in file management are disclosed. Specifically, in certain embodiments a set of desktop computers within a particular networked environment where it is desired to install these desktop agents may be determined. Desktop agents may then be installed on these desktops. A desktop agent on a particular desktop computer may register with an appliance such as that described above and be given an objective including one or more tasks. For each of the tasks provided, the desktop agent may return a list of files which can be collected based on the classification(s) associated with that task. Specific files to collect may then be selected from the list of files such that these specific files may be sent from the desktop computer to the appliance by the desktop agent and stored.

System and method for a desktop agent for use in managing file systems

Disclosed are systems, methods and apparatuses for managing objects in an enterprise environment according to policies. According to the invention, each policy rule ties a condition that conceptually lives in a repository to an appropriate action(s). Since each condition can be expressed in terms of metadata, policies can be applied and enforced over managed objects (files and directories) by allowing users to program appropriate corresponding action(s) via manipulating metadata stored in a metadata repository, e.g., a policy could prohibit storing MP3 files in corporate storage. In one embodiment, a user can specify a policy rule that ties the condition 'no MP3 files in volumes A-Z' to an action 'delete MP3 files from volumes A-Z' via a Web-based user interface. A harvester is disclosed for harvesting metadata across file systems.

Method and apparatus for harvesting file system metadata

System and method for classifying objects

A computer system enables a user to design touch activated keyboards for use on a display surface without writing code. The computer system enables the user to resize and move the keyboard image anywhere on the display to allow the concurrent display of other applications running in an integrated operating environment. Computer system actions can be assigned by the user to each key. An execution unit displays the selected keyboard, determines whether a key has been touched and executes the appropriate action for each key touch.

User defined keyboard entry system

An advanced user interface operates in an integrated operating environment which supports realtime handwriting, graphical and image data. The integrated operating environment is capable of running several application programs on a standard stand-alone processor, such as a personal computer, each in its own display window. A communication window is established in a first window. Image data is imported into it from a second window. And freehand drawing data is added to the first window. The contents of the first window can then be sent to a second processor. In this manner, hand drawn images can be combined with other image data and communicated over a network.

Realtime communication of hand drawn images in a multiprogramming window

Growing community of inventors

Pflugerville, TX, United States of America

Peter A Lee