JP2016537746A5

JP2016537746A5 -

Info

Publication number: JP2016537746A5
Application number: JP2016542852A
Authority: JP
Filing date: 2014-09-15
Publication date: 2017-10-19

Claims

Connecting a platform having a processor to multiple databases;
Connecting a plurality of agents to the platform to form a grid, wherein each agent of the plurality of agents is an agent of the platform running on a client device;
Generating metadata at each agent and supplying the metadata to the platform instead of content, wherein the metadata is stored in a memory accessible to a plurality of client devices corresponding to the plurality of agents; Corresponding to the content,
Using the metadata to locate the content;
Using the metadata to generate a goal representing an action for maintaining the state of the content;
Generating a plurality of tasks corresponding to the goal using the metadata;
Assigning each task to an agent accessible to the content corresponding to the task, wherein each task is a processing operation instructed by the platform, to the content accessible to the agent by the agent. The method that is performed.

The method of claim 1, wherein the platform comprises acting as a master controller for the plurality of agents, wherein the plurality of agents cooperate with the platform to be controlled by the plurality of tasks.

The method of claim 1, comprising each agent of the plurality of agents functioning independently of the platform and all other agents of the plurality of agents.

The platform of claim 1, comprising receiving the metadata of the content instead of receiving the content, and wherein a plurality of client devices hosting the plurality of agents have a distributed storage device containing the content. The method described.

The method of claim 1, wherein the platform comprises using the metadata to maintain a master index of the content of the plurality of agents in the plurality of databases.

The metadata, the data about the location of the content, data relating to the state of the content, data relating to the identity of the plurality of agents, the plurality of the agent runs the data relating to the content accessible, and by the plurality of agents The method according to claim 1, comprising at least one piece of task information .

The tasks track the location of the content across the grid, manage the storage of the content across the grid, manage the movement of the content across the grid, and process the content across the grid The method of claim 1, relating to at least one of the following:

The method of claim 1, wherein each task has a completion condition for the task.

The method of claim 1, comprising collectively monitoring the content such that the plurality of agents are instructed to the platform.

The method of claim 1, comprising storing the content collectively such that the plurality of agents are instructed to the platform.

The method of claim 1, comprising transferring the content collectively such that the plurality of agents are instructed to the platform.

The method of claim 1, comprising collectively performing processing operations on the content such that the plurality of agents are instructed to the platform.

The method of claim 1, wherein each agent of each client device includes indexing content of memory accessible to the client device.

The method of claim 1, wherein the plurality of databases includes an agent database having agents available to the platform and information for each agent.

The method of claim 1, wherein each agent includes at least one library, the library representing an accessible device that the agent includes at least one of read access and write access.

The plurality of databases includes a library database having a list of libraries corresponding to the plurality of agents,
Each library of the grid is represented separately in the library database ;
The method of claim 15 , wherein each agent is configured to access each library corresponding to the agent .

Wherein the plurality of databases includes a goal database having a list of goals, with each goal of the list of the goals produced by the platform, corresponding to at least one library, the goal operation corresponding library content The method of claim 15 , wherein the method is used to perform

The list of the goal, has to be generated to include a collection of libraries where tasks are performed A method according to claim 17.

The method of claim 17 , wherein each goal corresponds to at least one library and is used to perform at least one task on the contents of the corresponding library.

The method of claim 17 , wherein the platform uses the goal to read a plurality of libraries of the plurality of agents.

At least one for the platform to identify at least one of inconsistencies and differences in the content accessible by the plurality of agents and to remove at least one of inconsistencies and differences identified in the content The method of claim 17 , comprising using the goal to create a task .

Wherein the plurality of databases is seen including a work database,
The platform is configured to generate a work database corresponding to each agent, the work database including tasks performed by the corresponding agent;
The work database, the the description of each task to be performed by the corresponding agent, information and the including that required the agent to perform the tasks The method of claim 1.

The method of claim 1, wherein the plurality of databases includes a capability database having capability information of the plurality of agents.

Wherein the plurality of database includes records for the plurality of agents, and saw including a synchronization database for maintaining,
The synchronization database, the plurality of agents including a record of the file state of content A method according to claim 1.

The synchronization database includes an entry for each file, the entry includes a content hash corresponding to the file, the content hash having a hash of a list of blobs representing the content of the file, and each of the lists of blobs 25. The method of claim 24 , wherein a blob has a hash of a fragment of a file in the content, and the fragment is a component of the file.

The synchronization database includes an entry for each file, the entry includes a content hash corresponding to the agent's file, the content hash having a hash of a list of blobs representing the content of the file, the list of blobs 25. The method of claim 24 , wherein each blob has a hash of a fragment of a file in the content, and the fragment is a component of the file.

The platform, the transfer of the content between client devices and controls using the plurality of agents has to be controlled using the plurality of agents to synchronize the content between the client device The method of claim 1, wherein the synchronizing the content includes synchronizing the content in response to a change in the content .

Wherein the transfer of the content having the content, block-level and unordered transfer method according to claim 27.

The transfer of the content includes transferring a first block of content from a second client device to a first client device, and transferring a second block of content from a third client device to a first client. 30. The method of claim 28 , comprising transferring to a device.

Wherein the plurality of tasks is seen including a scan task,
The scan task includes recursively monitoring the library corresponding to the agent and reporting changes to the library to the platform;
The reporting comprises placing the library file containing changes in a local database of the client device hosting the agent and providing the metadata of the local database to the platform. The method of claim 1.

Wherein the plurality of tasks is seen including a writing task,
The write task includes the agent copying at least one blob of a file from a first location to a second location, each of the first location and the second location connected to the grid The method of claim 1 , corresponding to a configured client device .

32. The method of claim 31 , wherein the at least one blob has a hash of a fragment of a file in the content, and the fragment is a component of the file.

The writing task have a completion of conditions,
The completion condition has at least one of obtaining a blob corresponding to the writing task and specifying that the blob to be overwritten during the writing task corresponds to a correct file. 32. The method of claim 31 , wherein:

The method of claim 1, wherein the plurality of tasks comprises an upload task that includes copying the content file from a device accessible to the agent to a remote storage device.

The agent reporting to the platform the addition of a file to the content accessible to the agent and responsively assigning a task to the agent for the platform to upload the file; 35. The method of claim 34 .

In response to the task, the agent determines whether the file exists on the remote storage device and uploads the file to the remote storage device if it is determined that the file does not exist; 36. The method of claim 35 .

The upload task look contains said agent to copy at least one blob files to the remote storage device from said agent-accessible said device,
35. The method of claim 34 , wherein the at least one blob has a hash of a fragment of the file, and the fragment is a component of the file .

The method of claim 1, wherein the plurality of tasks includes a delete task.

The task is waiting, incomplete, and includes a plurality of phases including at least one of completion, the platform tracks the phase of each task of the plurality of tasks, the method according to claim 1.

Each agent, have a maintaining locally tasks assigned to the agent in the client device,
The agent, which have a periodically polling the platform to identify the assigned tasks The method of claim 1.

The method of claim 1, wherein the agent has a hierarchy for finding task information needed to complete a task and located at a remote device.

The hierarchy may have a said agent searches the local database of the client device that hosts the agent,
The hierarchy is closed said agent to communicate with at least one peer agents of said plurality of agents to find the task information, The method of claim 41.

43. The method of claim 42 , wherein the agent has an ID of a peer agent possessing the task information.

The hierarchy may have a said agent acquires the task information from a remote storage device,
The agent receives the ID of the peer agents from the platform ordered list, Ru is configured to search for the task information in accordance with the ordered list The method of claim 42.

Each agent only contains multiple components to be executed in parallel,
Wherein the plurality of components, a provider component which acquires the task specified in the agent from the platform and stores the acquired task to the client device to the local task database that hosts the agent including, in claim 1 The method described.

46. The method of claim 45 , wherein the plurality of components comprises a task execution component.

The plurality of components monitor the task database, acquire each task from the task database, supply the acquired task to the task execution component, and instruct the acquired task to have an incomplete status 48. The method of claim 46 , comprising a component.

Possess said task execution component executes the task, to report the status of the task execution to the runner component,
The runner component, Ru is configured to report the status to the task database, The method of claim 47.

Wherein the plurality of components, viewed contains an update component for the task with the completion status monitoring the task database, and reports the status information of the completed task to said platform,
49. The method of claim 48 , wherein the platform is configured to update the plurality of databases in response to the status information .

Wherein the plurality of agents has to generate the metadata, the metadata generated in a certain agent said agent corresponding to accessible the content, method of claim 1.

Said agent, wherein the agent generates the metadata by scanning the contents of each file accessible, possess that generates the metadata by dividing the contents of the file into a plurality of fragments each fragment will have a variable size component of the file, the method of claim 50.

The variable size is between the minimum and maximum length as specified previously, the method according to claim 51.

52. The method of claim 51 , wherein the agent comprises generating the metadata by generating a plurality of blobs that represent the plurality of fragments, each blob representing a fragment.

Has said agent generates a blanking Rob using blob hash, the blob hashes for each byte of the content is generated by performing a hashing algorithm to the component of the content, the hash algorithm data 54. The method of claim 53 , wherein the method is set to identify a specified pattern.

Generating the blob, and generating a description of the blob that contains the hash value in the position separated from the rest of the fragment the file represented by the blob, represented by the blob Generating one or more of: generating an offset value based on a fragmentation position of the fragment; and generating a hash of the complete content of the blob, wherein the hash of the complete content of the blob is the Ru Oh blob identifier the method of claim 54.

56. The method of claim 55 , wherein generating the blob includes generating a list of blobs that represent the contents of the file.

Generating the blob includes a content hash having a hash of the list of blobs representing the content of the file, a name hash having a hash of a file name corresponding to the file, and a combination of the content hash and the name hash Generate one or more of : a file hash having a hash of the file; a path hash having a hash of the file name and file path corresponding to the content of the file; and a metadata hash having a hash of the file metadata of the file. 57. The method of claim 56 , wherein the content hash is an identifier of the file.

58. The platform of claim 57 , comprising generating a record for the file, the record comprising a blob hash of the file, the content hash, the file hash, the path hash, and the metadata hash. Method.

59. The method of claim 58 , wherein the plurality of databases includes a library database, the library database having records.

55. The method of claim 54 , wherein generating the blob includes generating the blob size.

55. The method of claim 54 , wherein the file is described as a list of blobs that make up the file.

55. The method of claim 54 , wherein each agent comprises storing a blob locally on the client device hosting the agent and transferring a blob that has not been reported to the central storage of the platform.

The method of claim 1, wherein the platform comprises a policy database and a rules engine.

The method of claim 1 , comprising analyzing each file of the content and defining each file of the content as at least one of business content and personal content .

68. The method of claim 64 , comprising determining a security level for each file of the content for the operational content.

66. The method of claim 65 , comprising: scanning each file of the content to extract key terms ; and comparing the key terms across companies to generate a list of company specific key terms .

68. The method of claim 66 , wherein determining the sensitivity level comprises identifying a particular key term among the key terms.

66. The method of claim 65 , wherein generating the metadata includes generating the metadata to include the sensitivity level of corresponding content.

66. The method of claim 65 , comprising controlling access to each file of the content based on the security level.

Controlling access controls controlling browsing of each file of the content, controlling downloading of each file of the content, and controlling access to each file of the content. 70. The method of claim 69 , further comprising: controlling copying each file of the content, and controlling distributing each file of the content .

The method of claim 64 , comprising clarifying each file of the content based on at least one of inferences from the content and syntax of the content .

Identifying the operational content of the content across the location and at least one of the plurality of agents, wherein identifying the operational content includes: document name, document size, proximity, keyword comparison, and hash 65. The method of claim 64 , comprising using at least one of the comparisons.

The method of claim 1, comprising controlling collaboration between a plurality of devices accessing the content file.

75. The method of claim 73 , comprising controlling editing of content between a plurality of devices that edit the content file simultaneously.

74. The method of claim 73 , comprising at least one of tracking activity related to the content file and tracking modification history of the content file .

Have a mobile device management including monitoring and controlling access to the content through the mobile device,
The mobile device management, the method comprising: tracking the location of the mobile device, the method comprising tracking and controlling access to the content based on the location, and the data of the mobile device, at least 1 Tsuoyu of The method of claim 1.

The method of claim 1, comprising connecting a console to the platform, the console including automated activity monitoring, inspection, and reporting associated with the content.

Through the console, it possesses that Gosuru least 1 Tsuosei activity and the location associated with the content,
Controlling the activity includes controlling browsing of each file of the content, controlling downloading of each file of the content, controlling accessing each file of the content, each file to control that copy, and to control to distribute each file of the content, at least 1 Tsuoyu the method of claim 77 of the content.