Hewlett Packard Enterprise Development LP

Ent. Services Development Corporation LP

The Conundrum IP LLC

Entit Software LLC

Parag Doshi

Chandra Kamalakantha

Babak Makkinejad

Satwant Kaur

Corey W Wick

Steve Marney

Reinier J Aerdts

Steven Marney

Chandra H Kamalakantha

A system includes a marketplace portal to allow a user to order a business service, and a cloud controller to deploy an instance of the ordered business service to a cloud environment. The system includes an application programming interface (API) scanner to discover API information including at least one API exposed by the deployed instance of the ordered business service, and publish the discovered API information to another service.

Discovering and publishing API information

A system includes a federated marketplace portal to allow a user to browse, order, and manage business services offered by a plurality of cloud marketplaces based at least in part on application programming interface (API) abstractions. The system includes an integration system to transform the API abstractions into product-specific APIs used by the cloud marketplaces and cause the invocation of the product-specific APIs.

Federated marketplace portal

In example implementations, an apparatus is provided. The apparatus includes an interface, an inheritance engine, an anomaly detection module and a processor. The interface communicates with a sensor array. The inheritance engine is used to create a model of the sensor array based on information collected from the each one of a plurality of nodes in the sensor array over the interface. The anomaly detection engine is used to monitor the sensor array in accordance with the model to detect an anomaly and initiate a corrective action to correct the anomaly in two or more of the plurality of nodes within the sensor array simultaneously. The processor is in communication with the inheritance engine and the anomaly detection engine is used to execute instructions associated with the inheritance engine and the anomaly detection engine.

Monitoring a sensor array

Examples disclosed herein relate to control of a drone. In one example, aerial movement of the drone is controlled. In the example, it is determined, based on a plurality of devices, whether the drone is within a line-of-sight with at least a respective one of a plurality of humans within a physical proximity to a respective one of a the devices. In the example, the devices are used by the drone to track the humans. In the example, when the drone is determined to lack the line-of-sight, aerial movement of the drone is controlled to move the drone to become within the line-of-sight.

Control aerial movement of drone based on line-of-sight of humans using devices

Examples associated with data validation are disclosed. One example includes a sensor attribute data store having information describing attributes of a set of distributed sensors. A pattern data store stores information describing patterns indicating anomalous sensor activity. A data aggregation module flags data received from a tested sensor as anomalous data when the anomalous data exceeds a variance level described by an attribute of the tested sensor. A data validation module validates the anomalous data by comparing the anomalous data to the patterns indicating anomalous sensor activity. A learning module updates the pattern indicating anomalous sensor activity based on a result received from the validation logic after the validation logic validates data received from the tested sensor.

Data validation

A method includes generating firewall port access rules between a first cloud system a second cloud system for each tenant of a plurality of tenants. A unique IP address range is generated for each tenant. The firewall port access rules are applied to each IP address.

Firewall port access rule generation

A method for managing data in a distributed computing environment comprises receiving, on a message bus, a request to communicate data between a first system hosting data and a second system accessing data, referencing a policy defining rules for sharing data between the first system and the second system, compiling, based on the policy, a message indicating subscribers to receive the data to publish, and publishing, on the message bus, the compiled message.

Data management in a distributed computing environment

A system includes a policy manger that includes a policy to describe policy attributes of an application that define whether the application can be deployed as a container server or as a non-container server. An application analyzer analyzes a given application with respect to the policy attributes to classify the given application as a container model or a non-container model. A deployment controller generates a corresponding container server for the given application if the given application is classified as a container model or generates a corresponding non-container server for the given application if the given application is classified as a non-container model.

Growing community of inventors

Marietta, GA, United States of America

Parag Doshi