Dell Products Inc.

Julia Drummond Noce

Paulo Abelha Ferreira

Werner Spolidoro Freund

Vinicius Michel Gottin

Pablo Nascimento Da Silva

Paulo De Figueiredo Pires

Ana Cristina Bernardo De Oliveira

Evandro Luiz Cardoso Macedo

Flávia Coimbra Delicato

Anselmo Luiz Éden Battisti

Juan Lucas Do Rosário Vieira

Débora Christina Muchaluat Saade

Isabella Costa Maia

Marina Ivanov

One example method includes identifying features for operational actions that are to be performed at an edge node of an edge computing system. The features include information used by the edge node to execute the operational actions. A first set of the features is received during an input processing stage. The first set of the features are used in the execution of the operational actions. In response to the execution of the operational actions, a second set of the one or more features are obtained, In response to retrieving the first set of the features or in response to obtaining the second set of the features, a local map is updated to include the features. The local map includes a subset of a global map, where the local map and the global map represent a shared representation of a map structure.

Orchestration of action-input representations for decision making in edge environments

Systems and methods for decoupling information into multiple levels of detail based on semantics while providing a compact global representation structure. A tree-based graph represents objects in an environment. The top node provides complete environment information at the lowest level of detail. Leaves of the tree-based graph complement the parent nodes with more detailed local information. This achieved efficient processing, communication, and data compaction.

So-map: a semantic-aware algorithm for optimizing the representation structure of Octomaps

Techniques are disclosed for hybrid machine learning model training and deployment to mobile edge devices. An example system includes a processor communicatively coupled to a memory and configured to execute instructions. Example instructions include receiving geolocation data from mobile edge devices; using the geolocation data to index the mobile edge devices into sub-regions; ranking associated machine learning (ML) models in the sub-regions based on performance metrics; and using a current geolocation of a particular mobile edge device within a given sub-region to serve a selected ML model to the particular device, wherein the ML model to serve is selected based on the performance metrics of the selected ML model within the given sub-region.

Hybrid machine learning model training and deployment to mobile edge devices

One example method includes performing, in a global environment that includes a central node and edge nodes that are able to communicate with each other, by the central node, operations including: sampling optimal information from the edge nodes concerning a state of the global environment, the edge nodes being grouped into a plurality of cluster structures based on the optimal information, updating a global map of the global environment, based on the optimal information, updating an information retrieval cost, using the state of the global environment to orchestrate placement and execution of one or more tasks and actions in the global environment, using the updated global map, information retrieval cost, tasks and actions to update an attention mechanism operable to control retrieval of next optimal information, and selecting next optimal information for retrieval.

Exploiting structure in environment sensor dynamics for real-time maximization of information gain

A method for managing a service function chain (SFC) includes obtaining, by a SFC orchestrator of a first domain, a SFC creation request for a SFC, in response to the SFC creation request: generating a domain participation list of a set of potential domains that may service the SFC creation request, sending a bid request to each of the set of potential domains, receiving bid responses from the set of potential domains, ranking the set of potential domains, sending a SFC placement request to a second domain of the set of potential domains based on the ranking, and obtaining a SFC placement response from the second domain, wherein the SFC placement response specifies success of SFC placement in the second domain.

System and method for an auction-based scheme for service function chain placement

Growing community of inventors

Rio de Janeiro, Brazil

Julia Drummond Noce