H04L67/1089

EFFECTUATE STATE CHANGE IN A HIERARCHY OF RESOURCES IN AN SDDC
20230105676 · 2023-04-06 ·

Some embodiments provide a hierarchical data service (HDS) that manages many resource clusters that are in a resource cluster hierarchy. In some embodiments, each resource cluster has its own cluster manager, and the cluster managers are in a cluster manager hierarchy that mimics the hierarchy of the resource clusters. In some embodiments, both the resource cluster hierarchy and the cluster manager hierarchy are tree structures, e.g., a directed acyclic graph (DAG) structure that has one root node with multiple other nodes in a hierarchy, with each other node having only one parent node and one or more possible child nodes.

MANAGING A HIERARCHY OF RESOURCES IN AN SDDC
20230106074 · 2023-04-06 ·

Some embodiments provide a hierarchical data service (HDS) that manages many resource clusters that are in a resource cluster hierarchy. In some embodiments, each resource cluster has its own cluster manager, and the cluster managers are in a cluster manager hierarchy that mimics the hierarchy of the resource clusters. In some embodiments, both the resource cluster hierarchy and the cluster manager hierarchy are tree structures, e.g., a directed acyclic graph (DAG) structure that has one root node with multiple other nodes in a hierarchy, with each other node having only one parent node and one or more possible child nodes.

IMPLEMENTING STATE CHANGE IN A HIERARCHY OF RESOURCES IN AN SDDC
20230104804 · 2023-04-06 ·

Some embodiments provide a hierarchical data service (HDS) that manages many resource clusters that are in a resource cluster hierarchy. In some embodiments, each resource cluster has its own cluster manager, and the cluster managers are in a cluster manager hierarchy that mimics the hierarchy of the resource clusters. In some embodiments, both the resource cluster hierarchy and the cluster manager hierarchy are tree structures, e.g., a directed acyclic graph (DAG) structure that has one root node with multiple other nodes in a hierarchy, with each other node having only one parent node and one or more possible child nodes.

MANAGING A HIERARCHY OF RESOURCES IN AN SDDC
20230107048 · 2023-04-06 ·

Some embodiments provide a hierarchical data service (HDS) that manages many resource clusters that are in a resource cluster hierarchy. In some embodiments, each resource cluster has its own cluster manager, and the cluster managers are in a cluster manager hierarchy that mimics the hierarchy of the resource clusters. In some embodiments, both the resource cluster hierarchy and the cluster manager hierarchy are tree structures, e.g., a directed acyclic graph (DAG) structure that has one root node with multiple other nodes in a hierarchy, with each other node having only one parent node and one or more possible child nodes.

CASCADING PAYLOAD REPLICATION

Cascading payload replication to target compute nodes is disclosed. Cascading payload replication can be accomplished using a two-stage operation for a replication operation. In the first stage, a plan is generated and distributed for the replication operation. The plan includes an assignment of compute nodes to tree nodes in a tree hierarchy. In the second phase, the payload is distributed according to the plan. The plan is different for at least two replication operations. Thus, the cascading payload replication is adaptable to changing target compute nodes and provides for load balancing.

System and method for hierarchical clustering of wireless mobile network

A method, network system, and non-transitory computer readable medium that arrange a set of wireless mobile devices into a two-level clustering structure including a cluster in a first-level and a cluster in the second-level, based on node status registered and algorithm preinstalled in a back-end server, where each of the set of wireless mobile devices is assigned either one of a slave member of a cluster in the first-level, a master of a cluster in the first-level where the master is also a member of a cluster in the second-level, or a super master of a cluster in the second-level where a master of a cluster in the first-level is assigned as the super master. The two-level clustering structure is periodically updated. Only the super-masters are configured to communicate with the back-end server via a long-range connection to WLAN, while a short-range wireless interface is used for internal communications.

Communication optimization systems of blockchain network, registration methods and message forwarding methods

Methods, systems, and apparatus for optimizing communication in a blockchain network. An example method includes establishing, by a first relay node in the blockchain network, a connection with a first blockchain node in the blockchain network in response to a connection request of the first blockchain node; receiving, by the first relay node, a registration request transmitted by the first blockchain node; generating, by the first relay node, a registration event based on the registration request; updating, by the first relay node, a local routing table based on the registration event; and forwarding, by the first relay node, a message of the first blockchain node to another relay node or another blockchain node in the blockchain network that is connected to the first relay node based on the local routing table.

MULTI-SUBSTRATE FAULT TOLERANT CONTINUOUS DELIVERY OF DATACENTER BUILDS ON CLOUD COMPUTING PLATFORMS

Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system uses a control datacenter with a set of service groups used for configuring other datacenters, for example, for performing continuous delivery of software artifacts for other datacenters. The system uses a primary control datacenter and a secondary control datacenter. The primary control datacenter configures infrastructure of the tenant datacenter, for example, by configuring computing resources in the cloud platform for the tenant datacenter according to a declarative specification of the tenant datacenter. The secondary control datacenter efficiently takes control of the process of configuring the tenant datacenter, for example, if there is a failure of the primary control datacenter.

Multi-substrate fault tolerant continuous delivery of datacenter builds on cloud computing platforms

Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system uses a control datacenter with a set of service groups used for configuring other datacenters, for example, for performing continuous delivery of software artifacts for other datacenters. The system uses a primary control datacenter and a secondary control datacenter. The primary control datacenter configures infrastructure of the tenant datacenter, for example, by configuring computing resources in the cloud platform for the tenant datacenter according to a declarative specification of the tenant datacenter. The secondary control datacenter efficiently takes control of the process of configuring the tenant datacenter, for example, if there is a failure of the primary control datacenter.

HIERARCHY AWARE GRAPH REPRESENTATION LEARNING
20220256002 · 2022-08-11 ·

A method includes executing operations to generate a first enhancement function based on a parent-child link in a content hierarchy including a link between a parent node in a first level of the content hierarchy to a child node in a second level of the content hierarchy below the first level. A second enhancement function is generated based on a sibling link in the content hierarchy including a link between a sibling node in a third level of the content hierarchy and a sibling node in the third level of the content hierarchy sharing a common parent node with the first sibling node in a fourth level of the content hierarchy above the third level. A user content consumption metric is generated based on the first and second enhancement functions. A content list including a set of candidate content items ranked based on the user content consumption metric is generated.