Abstract: A graph-based model comprises a plurality of entity nodes indicative of a plurality of entities within a dataset and a hierarchical structure of nodes. The hierarchical structure of nodes include a plurality of data nodes indicative of a plurality of data values associated with the plurality of entities and a plurality of context nodes coupled between the plurality of entity nodes and the plurality of data nodes. The plurality of context nodes define contextual relationships between the plurality of entity nodes and the plurality of data nodes. A query comprising a query value is received and a node within the hierarchical structure of nodes is identified based on the query value. A traversal path is determined from the node to a first entity node related to the node and a response to the query is generated based on the traversal path.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having various signal nodes and connection links. The processing circuitry receives a stimulus and identifies a first signal node based on the stimulus. The processing circuitry determines a connection link coupled to the first signal node. The connection link includes an outward connection object defining association with the first signal node and an inward connection object defining association with a second signal node. The second signal node is thus identified based on the first connection link. The processing circuitry generates a signal using the first signal node and determines whether a signal potential of the signal exceeds a potential threshold associated with the first signal node. The processing circuitry, based on the signal potential exceeding the potential threshold, communicates the signal to the second signal node.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of active nodes and a plurality of master telemetry nodes. The processing circuitry, based on a stimulus, identifies, from the plurality of active nodes, a first active node. The processing circuitry determines a first master telemetry node of the plurality of master telemetry nodes associated with the first active node. The processing circuitry further retrieves, based on the first master telemetry node, a telemetry dataset from the first active node. The processing circuitry, based on the first master telemetry node and the telemetry dataset, determines a set of telemetry insights associated with the first active node. The set of telemetry insights is indicative of one or more operational parameters associated with the overlay system.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having a plurality of image nodes and a plurality of image action overlay nodes. Each image node represents an image of an external system. The processing circuitry receives a stimulus associated with a first image action to be executed based on a first image and identifies, based on the stimulus, a first image node representing the first image. The processing circuitry determines a first image action overlay node associated with the first image node and executes the first image action using the first image node and the first image action overlay node to generate a second image. The processing circuitry generates, in response to the stimulus, a second image node representing the second image.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of active nodes and a plurality of trigger nodes. Each trigger node is associated with at least one active node of the plurality of active nodes. The processing circuitry detects, using a first trigger node of the plurality of trigger nodes, an event associated with a first active node of the plurality of active nodes. The processing circuitry determines, using the first trigger node, a set of operations to be executed in response to the first event. The processing circuitry further executes, based on the first active node and the first trigger node, the set of operations in response to the first event.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of node groups, a file export overlay node, and a file mapping overlay node. The processing circuitry creates, using the file export overlay node and the file mapping overlay node, a master file that implements the executable graph-based model in a server associated with the overlay system. The processing circuitry creates, in the master file, a plurality of schemas that implements the plurality of node groups. In a first schema, the processing circuitry creates a first set of fields that implements a first set of active nodes of the first node group. Further, for the first field, the processing circuitry creates a first set of records that implements a second set of active nodes associated with the first active node.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having a plurality of audio nodes and a plurality of audio action overlay nodes. Each audio node represents an audio file. The processing circuitry receives a stimulus associated with a first audio action to be executed based on a first audio file and identifies, based on the stimulus, a first audio node representing the first audio file. The processing circuitry determines a first audio action overlay node associated with the first audio node and executes the first audio action using the first audio node and the first audio action overlay node to generate a second audio file. The processing circuitry generates, in response to the stimulus, a second audio node representing the second audio file.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having a plurality of video action overlay nodes. The processing circuitry receives a stimulus associated with a node creation operation in the executable graph-based model to represent a first video of an external system. The processing circuitry identifies, based on the stimulus, a first video action overlay node of the plurality of video action overlay nodes. The processing circuitry retrieves, using the first video action overlay node, a first plurality of image configurations of a first plurality of image frames of the first video from the external system. The processing circuitry generates, in response to the stimulus, a first video node, in the executable graph-based model, representing the video based on the first plurality of image configurations of the first plurality of image frames.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of active nodes and a plurality of probe nodes. The processing circuitry receives a stimulus and identifies a first active node and a second active node based on the stimulus. The processing circuitry determines a first probe node associated with the first active node and/or the second active node. The processing circuitry executes a path detection operation based on the first probe node, the first active node, and the second active node. The processing circuitry determines, as a response to the stimulus, a third active node as an intersection node based on the path detection operation, with the intersection node being associated with each of the first active node and the second active node.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having a plurality of active nodes, a plurality of interface nodes, and a plurality of overlay nodes. Each overlay node extends functionality of at least one interface node that defines a reusable structure for two or more active nodes. The processing circuitry receives a stimulus and identifies a first plurality of active nodes. The processing circuitry determines, based on the first plurality of active nodes, a first interface node defining a reusable structure for the first plurality of active nodes. The processing circuitry determines a first overlay node associated with the first interface node. The processing circuitry executes an operation associated with the stimulus based on the first plurality of active nodes, the first interface node, and the first overlay node.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of active nodes. Each active node has a functionality associated therewith. The processing circuitry receives a stimulus indicative of an extension operation and identifies, a first active node of the plurality of active nodes. The extension operation is associated with an extension of a first functionality of the first active node. The processing circuitry creates a first extension node associated with a first extended functionality that extends the first functionality indicated by the first stimulus. The processing circuitry associates, in response to the first stimulus, the first extension node with the first active node. The first extension node exhibits at least one of a group consisting of the first functionality or the first extended functionality.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of node groups, a file export overlay node, and a file mapping overlay node. The processing circuitry creates, using the file export overlay node and the file mapping overlay node, a master file that implements the executable graph-based model in a server associated with the overlay system. The processing circuitry creates, in the master file, a plurality of schemas that implements the plurality of node groups. In a first schema, the processing circuitry creates a first set of fields that implements a first set of active nodes of the first node group. Further, for the first field, the processing circuitry creates a first set of records that implements a second set of active nodes associated with the first active node.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model that includes a plurality of active nodes associated with a plurality of tag overlay nodes. Each active node has a set of tags with each tag indicating an execution criterion. The processing circuitry receives a stimulus and identifies a first active node and a first tag overlay node associated therewith. The processing circuitry determines a first tag of a set of tags associated with the first active node. The first tag has a tag type that matches a tag overlay node-type of the first tag overlay node. The processing circuitry executes an operation based on the first active node and the first tag overlay node and in conformity with a first execution criterion indicated by the first tag.

Abstract: A method for access management in graph-based model is provided. The graph-based model comprises a plurality of nodes and an overlay structure comprising processing logic. The overlay structure is associated with one or more nodes of the plurality of nodes. Processing circuitry determines a first node group of the graph-based model. The first node group comprises at least one node. The processing circuitry associates a first contract with the first node group such that the first contract is configured to act as a proxy for one or more nodes within the first node group in relation to requests from outside the first node group. The processing circuitry receives a stimulus and a context associated therewith. The stimulus is associated with the first contract. The processing circuitry maps the stimulus to the first contract to determine an access response. The processing circuitry processes the stimulus based on the access response.

Abstract: A method for access management in graph-based model is provided. The graph-based model comprises a plurality of nodes and an overlay structure comprising processing logic. The overlay structure is associated with one or more nodes of the plurality of nodes. Processing circuitry determines a first node group of the graph-based model. The first node group comprises at least one node. The processing circuitry associates a first contract with the first node group such that the first contract is configured to act as a proxy for one or more nodes within the first node group in relation to requests from outside the first node group. The processing circuitry receives a stimulus and a context associated therewith. The stimulus is associated with the first contract. The processing circuitry maps the stimulus to the first contract to determine an access response. The processing circuitry processes the stimulus based on the access response.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having a plurality of run-time bi-directional nodes and a plurality of run-time connection links. Each run-time bi-directional node includes a node template and a node instance. The processing circuitry receives a stimulus and identifies a first run-time bi-directional node based on the stimulus. The processing circuitry determines a first run-time connection link based on the identification of the first run-time bi-directional node. The first run-time bi-directional node is coupled to a second run-time bi-directional node via the first run-time connection link. The processing circuitry further identifies the second run-time bi-directional node and executes the operation associated with the stimulus based on the first run-time bi-directional node, the second run-time bi-directional node, and the first run-time connection link.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model having various active nodes. The processing circuitry may receive a stimulus associated with the overlay system and identify, based on the stimulus, an active node. Further, the processing circuitry may generate a proxy node for the active node. The proxy node includes a reference to the active node. The processing circuitry may implement the proxy node in the executable graph-based model by way of an actor interface. Further, the processing circuitry may store the first proxy node in a primary storage of the storage element. Additionally, as a response to the first stimulus, the processing circuitry may unload the first active node from the executable graph-based model.

Abstract: An overlay system is provided that includes processing circuitry and a storage element that stores an executable graph-based model including various active nodes, various history message nodes, and various history overlay nodes. Each active node is associated with one or more history overlay nodes that facilitate the creation and maintenance of one or more history message nodes associated therewith. The processing circuitry receives a contextualized stimulus and identifies an active node and one or more history message nodes in the executable graph-based model based on the context. The processing circuitry creates one or more history nodes (e.g., one or more historical versions of the corresponding active node) based on the one or more history message nodes. Further, the processing circuitry executes an operation associated with the stimulus based on the identified active node, the one or more history overlay nodes, and the created one or more history nodes.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The processing circuitry receives a stimulus associated with the overlay system and creates an executable graph-based model that implements an external datastore in the storage element, based on the stimulus. The processing circuitry creates, in the executable graph-based model, a plurality of node groups that implements a plurality of schemas associated with the external datastore, with a first node group created for a first schema. The processing circuitry creates, in the first node group, a first set of active nodes that implements a first database object associated with the first schema. The processing circuitry creates, in the first node group, a second set of active nodes that implements a first set of database records associated with the first database object. The processing circuitry executes one or more operations in the executable graph-based model.

Abstract: A method for loading run-time nodes of a template-based executable graph-based model is provided. A node instance manifest state is obtained based on a first node identifier associated with a node instance. The node instance manifest state includes a second node identifier associated with a node template. A node instance manifest is generated from the node instance manifest state. The node instance manifest comprises a first storage location and the first node identifier. A node instance state is obtained from the first storage location. The node template is obtained based on the second node identifier. The node instance is generated from the node instance manifest, the node instance state, and the node template. A run-time node, comprising a composition of the node instance and the node template, is generated.