Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

A resource management system is disclosed herein that quickly and dynamically tailors application resource provisioning to real-time application resource consumption. The resource management system may service application requests using resources selected from a pool of servers, the pool of servers including a mixture of virtual server resources and serverless instance resources. The serverless instance resource may comprise software objects programmed using a machine image reflecting one or more states of a virtual application server booted using application-specific program code. Supporting an application using serverless instances enables dynamic scaling of application resources to support real-time application servicing loads.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Apparatus and methods for optimizing bandwidth utilization and services in a data network infrastructure. In one embodiment, the data network is a managed Hybrid Fiber Coaxial (HFC) cable network, and the network infrastructure is configured to enable dynamic allocate of frequency bands to individual consumer premises device (e.g., DOCSIS-compliant cable modems). In one variant, the improved network infrastructure enables creation of virtual Service Groups (vSGs), and allocation of individual ones of the CM to such vSGs, to some degree irrespective of topological or “hardwired” location within the network. The allocations can be dynamic, and based on factors such as load balancing, evacuation of portions of the physical network topology (such as to support infrastructure upgrades or replacement), or for yet other reasons such as relating to subscriber tier or service level agreement (SLA).

Presented herein are embodiments for implicitly or indirectly registering elements of a non-volatile memory express (NVMe™) entity in an NVMe-over-Fabric (NVMe-oF) environment. In one or more embodiments, one or more interactions between an NVMe™ entity and a centralized storage fabric service component, such as part of the Link Layer Discovery Protocol (LLDP) process or the Multicast Domain Name System (mDNS) process, may be used by the centralized storage fabric service to extract information about the NVMe™ entity and automatically register it with a centralized registration datastore. In one or more embodiments, the centralized registration datastore may be used to facilitate services in the NVMe-oF system, such as discovery of NVMe™ entities, provisioning, and access control. In one or more embodiments, an implicitly registered NVMe™ entity may also subsequently explicitly register, which may include supplying additional information about the NVMe™ entity.

Examples described herein relate to a network interface device comprising dataplane circuitry, when operational, is to generate a representation of aggregated network resource consumption information based on network resource consumption at the network interface device or at least one other network device and to transmit at least one packet with a multi-bit representation of the aggregated network resource consumption information to a second network interface device. In some examples, the network resource consumption information comprises one or more of: available transmit bandwidth, transmit bandwidth used by a queue or flow, queue depth, measured queueing time duration, expected queueing time duration, packet latency, or normalized in-flight bytes.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

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.

Embodiments herein receive a request to reserve a fog computing resource for an end device, where the request includes a specified future time at which the fog computing resource will be used by the end device. It is determined that sufficient fog computing resources are available at the specified future time on a first fog node of a plurality of fog nodes. The fog computing resource of the first fog node is reserved for the specified future time, and an address corresponding to the first fog node is transmitted.

A method to associate a set of first entities to a set of second entities, e.g., computing jobs to processors, agent teams to workspace resources within a physical location, or the like. The NG is seeded using a force directed graph (FDG), whose “seed” particles represents the agents and their relative interconnectedness. The FDG is first brought into an equilibrium state to define a solution space. A relative coordinate system of the FDG solution space is then translated to a number of vertices represented in the NG, and then an initial seeding of the seed particles in the NG (based on their relative positions in the FDG solution space) is carried out. A search is then performed. During the search, each seed vertex releases its embedded agents to adjacent vertices to enable the agents to search for and achieve a required count. During this process, the seed particles grow to the desired size (with their constituent first entities then located at the NG vertices) to complete the agent-to-resource allocation process.