Abstract: Market-based distributed resource allocation techniques are provided for edge-cloud systems. One method comprises obtaining an application request at a given edge node in a multi-tier environment comprising cloud resources and multiple edge nodes. The edge nodes host a plurality of virtual nodes to process the application request. The application request is assigned to at least one of the virtual nodes based on a utility value of each virtual node. The utility value of each virtual node is based on a cost value representing a total cost incurred by each virtual node to process the application request. The utility value of each virtual node is optionally further based on a priority value of the application request. Master nodes from different edge node groups can collaborate to identify a given edge node group that can serve the application request when local edge nodes are unable to process the at least one application request.

Abstract: A resource management framework is provided for edge-cloud systems that supports heterogeneity of devices and application requirements. One method comprises obtaining an application request in a multi-tier environment comprising cloud resources and edge nodes, wherein the edge nodes host virtual nodes to process the application requests, wherein each of the plurality of virtual nodes corresponds to a given predefined virtual node type; providing data from a given data source to at least two virtual nodes based on a data type of the given data source and the virtual node type of the at least two virtual nodes; and providing a given application request to at least one virtual node based on a data type of the given application request and the virtual node type of the at least one virtual node, wherein the at least one virtual node provides data in response to the application requests to corresponding applications and/or additional virtual nodes.

Abstract: Techniques are provided for resource allocation and provisioning in a multi-tier edge-cloud virtualization environment. An exemplary method comprises: obtaining an application request for processing a given data type in a multi-tier environment; processing application requests received within a decision window to allocate resources for virtual nodes to process the application requests received within the decision window, wherein the allocated resources for each virtual node is on a corresponding one of cloud resources and a given edge node; instantiating the allocated virtual nodes to process the application requests; and providing the application requests to the instantiated virtual nodes, wherein the instantiated virtual nodes obtain the data of the given data type from a data repository.

Abstract: Market-based distributed resource allocation techniques are provided for edge-cloud systems. One method comprises obtaining an application request at a given edge node in a multi-tier environment comprising cloud resources and multiple edge nodes. The edge nodes host a plurality of virtual nodes to process the application request. The application request is assigned to at least one of the virtual nodes based on a utility value of each virtual node. The utility value of each virtual node is based on a cost value representing a total cost incurred by each virtual node to process the application request. The utility value of each virtual node is optionally further based on a priority value of the application request. Master nodes from different edge node groups can collaborate to identify a given edge node group that can serve the application request when local edge nodes are unable to process the at least one application request.

Abstract: A resource management framework is provided for edge-cloud systems that supports heterogeneity of devices and application requirements. One method comprises obtaining an application request in a multi-tier environment comprising cloud resources and edge nodes, wherein the edge nodes host virtual nodes to process the application requests, wherein each of the plurality of virtual nodes corresponds to a given predefined virtual node type; providing data from a given data source to at least two virtual nodes based on a data type of the given data source and the virtual node type of the at least two virtual nodes; and providing a given application request to at least one virtual node based on a data type of the given application request and the virtual node type of the at least one virtual node, wherein the at least one virtual node provides data in response to the application requests to corresponding applications and/or additional virtual nodes.

Abstract: Techniques are provided for resource allocation and provisioning in a multi-tier edge-cloud virtualization environment. An exemplary method comprises: obtaining an application request for processing a given data type in a multi-tier environment; processing application requests received within a decision window to allocate resources for for virtual nodes to process the application requests received within the decision window, wherein the allocated resources for each virtual node is on a corresponding one of cloud resources and a given edge node; instantiating the allocated virtual nodes to process the application requests; and providing the application requests to the instantiated virtual nodes, wherein the instantiated virtual nodes obtain the data of the given data type from a data repository.