Back to results
US 10,650,427 B2Granted
Contextual execution of automated workflows
AssigneeGreat-Circle Technologies, Inc.
InventorBrent Bursey
Life of this patent
Estimating the term…
Abstract
An enterprise geospatial intelligence service oriented architecture (EGI-SOA) provides a consumer with one or more tailored products in response to either a dynamic request or a standing request by the consumer.
Claims35
A method comprising the following steps:
- (a) autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining an optimal configuration of the computing resources within the computing cloud that are needed to execute the ExecML job;
- and
- (e) executing the ExecML job using the optimal configuration, wherein step (d) is based on the aggregated list of CSD files.
4 more elements
A method comprising the following steps:
- (a) autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining that an optimal configuration of the computing resources within the computing cloud for executing the ExecML job does not exist;
- (e) dynamically re-provisioning some of the computing cloud resources to form a re-provisioned configuration of the computing resources within the computing cloud;
- and
- (f) executing the ExecML job using the re-provisioned configuration, wherein steps (d) and (e) are based on the aggregated list of CSD files.
5 more elements
A method comprising the following steps:
- (a) autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining that an optimal configuration of the computing resources within the computing cloud for executing the ExecML job does not exist;
- (e) determining that a less optimal configuration of the computing resources within the computing cloud that can execute the ExecML;
- and
- (f) executing the ExecML job using the less optimal configuration, wherein steps (d) and (e) are based on the aggregated list of CSD files.
5 more elements
A method comprising the following steps:
- (a) autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining that an optimal configuration of the computing resources within the computing cloud for executing the ExecML job does not exist;
- (e) determining that a less optimal configuration of the computing resources within the computing cloud that can execute the ExecML cannot fulfill all of the conditions of a service level agreement;
- and
- (f) executing the ExecML job in the computing cloud to form the one or more tailored geospatial intelligence products.
5 more elements
A machine readable medium having stored thereon sequences of instructions, which when executed by one or more processors, cause one or more electronic devices to perform a set of operations comprising the following steps:
- (a) autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- and
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining an optimal configuration of the computing resources within the computing cloud that are needed to execute the ExecML job;
- and
- (e) executing the ExecML job using the optimal configuration, wherein step (d) is based on the aggregated list of CSD files.
5 more elements
A computer system comprising:
- (a) a Contextual Service Description (CSD) server, the CSD server autonomously tailoring one or more tailored geospatial intelligence products by executing an ExecML job in a computing cloud in response to a consumer request for the one or more tailored geospatial intelligence products;
- and
- (b) providing the one or more tailored geospatial intelligence products to the consumer,
- wherein a respective CSD server runs on each respective processor in the computing cloud, and wherein each CSD server generates a CSD file representing a contextual state for each respective processor at a given time;
- (c) aggregating the CSD files for all of the processors of the computing cloud to form an aggregated list of CSD files;
- (d) determining an optimal configuration of the computing resources within the computing cloud that are needed to execute the ExecML job;
- and
- (e) executing the ExecML job using the optimal configuration, wherein step (d) is based on the aggregated list of CSD files.
5 more elements
Dependencies are inferred from the claim text.