DATA DISTRIBUTION SYSTEM, METHOD AND PROGRAM PRODUCT

• US 20150220557A1
• Filed: 04/14/2015
• Published: 08/06/2015
• Est. Priority Date: 02/21/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Assuncao, Marcos Dias De, Bianchi, Silvia Cristina Sardela, Netto, Marco Aurelio Stelmar
• Granted Patent: US 9,898,479 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/178 Techniques for file synchronisation in file systems
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor

Abstract

A data distribution system, method and a computer program product therefor. Computers provisioned with operations centers supporting individual locations share resources with organizations in multiple locations. Each operations center receives and evaluates local information for the supported location and selectively provides evaluated information for reuse by other locations. A data exchange agent in each operations center publishes information available from a supported location to a publication subscription unit. The operations center also subscribes to the publication subscription unit for information available from other locations. The publication subscription unit identifies matches between subscriptions and publications. A negotiation unit negotiates matched information transfers between operations centers.

Claims

1. A data distribution method comprising:

collecting data about a location, said location being one of a plurality of locations, each location subscribing with a publication subscription unit in other locations for information available in the respective said each location, said each location having one or more local organizations sharing resources on one or more computers;

analyzing collected data and published data characteristics from said other locations for local needs;

responding locally responsive to data analysis;

identifying data conditions for making collected data results available to other said local organizations; and

publishing data characteristics of available collected data with said publication subscription unit responsive to identified said data conditions for said other locations.

2. A data distribution method as in claim 1, further comprising said publication subscription unit:

identifying any subscription matching said published data;

generating a filter/aggregator responsive to said identified data conditions;

applying said filter/aggregator to conform said data results to said identified data conditions; and

downloading conforming said data results to said location supported by the subscribing operations center.

3. A data distribution method as in claim 1, wherein analyzing said published data characteristics comprises:

requesting a data sample;

assessing data quality based on said sample;

checking whether sample quality matches an indicated expected quality; and

whenever quality matches

determining whether said published data characteristics match said data requirements, data being downloaded for a matching sample.

4. A data distribution method as in claim 3, wherein another sample is requested and assessed whenever sample quality or data characteristics do not match.

5. A data distribution method as in claim 4, wherein said data characteristics are defined by attributes, said attributes including an offered resolution, parameter ranges and a measurement sampling frequency.

6. A computer program product for location data sharing and distribution, said computer program product comprising a no-transitory computer usable medium having computer readable program code stored thereon, said computer readable program code causing a plurality of computers executing said code to:

collect data about a location, said location being one of a plurality of locations, each location subscribing with a publication subscription unit in other locations for information available in the respective said each location, said each location having one or more local organizations sharing resources on said plurality of computers;

analyze collected data and published data characteristics from said other locations for local needs;

respond locally responsive to data analysis;

identify data conditions for making data results available to other said local organizations; and

publish data characteristics of available collected data with said publication subscription unit responsive to identified said data conditions for said other locations.

7. A computer program product for location data sharing and distribution as in claim 6, said computer readable program code further causing publication subscription units in said plurality of computers executing said code to:

identify any subscription matching said published data;

generate a filter/aggregator responsive to said identified data conditions;

apply said filter/aggregator to conform said data results to said identified data conditions; and

download conforming said data results to said location supported by the subscribing operations center.

8. A computer program product for location data sharing and distribution as in claim 6, wherein analyzing said data characteristics checks for a match with said data requirements, analyzing causing said plurality of computers executing said code to:

request a data sample;

assess data quality based on said sample;

check whether sample quality matches an indicated expected quality; and

whenever quality matches

determine whether said data characteristics match said data requirements, data being downloaded for a matching sample.

9. A computer program product for location data sharing and distribution as in claim 8, wherein said plurality of computers are a plurality of cloud computers with provisioned operations centers managing data publication and subscription, each operation center requesting and assessing another sample whenever sample quality or data characteristics do not match, and said data characteristics are defined by attributes, said attributes including an offered resolution, parameter ranges and a measurement sampling frequency.