Patent classifications
H04L67/1008
SERVICE-AWARE GLOBAL SERVER LOAD BALANCING
Example methods and systems for service-aware global server load balancing are described. One example may involve a first load balancer receiving, from a client device, a request to access a service associated with an application deployed in at least a first cluster and a second cluster. In response to determination that a first pool in the first cluster is associated with an unhealthy status, the first load balancer may identify a second pool implementing the service in the second cluster, the second pool being associated with a healthy status and includes one or more second backend servers selectable by a second load balancer to process the request. Failure handling may be performed by interacting with the client device, or the second load balancer, to allow the client device to access the service implemented by the second pool in the second cluster.
SERVICE-AWARE GLOBAL SERVER LOAD BALANCING
Example methods and systems for service-aware global server load balancing are described. One example may involve a first load balancer receiving, from a client device, a request to access a service associated with an application deployed in at least a first cluster and a second cluster. In response to determination that a first pool in the first cluster is associated with an unhealthy status, the first load balancer may identify a second pool implementing the service in the second cluster, the second pool being associated with a healthy status and includes one or more second backend servers selectable by a second load balancer to process the request. Failure handling may be performed by interacting with the client device, or the second load balancer, to allow the client device to access the service implemented by the second pool in the second cluster.
COMPUTER SYSTEM AND SCALE-UP MANAGEMENT METHOD
It aims to make it possible to readily and rapidly scale up the server which executes one application.
In a computer system which includes one or more compute server(s) which each has an application container which executes the one application and a management server which manages the compute server(s), the management server is configured to, in a case of increasing the number of the compute servers which each has the execution unit which executes the one application, specify a logic unit that a data unit that the execution unit of an existing compute server utilizes upon execution of an application is stored, and in a case where the execution unit of a newly added computer server executes the application, set the newly added compute server so as to refer to the specified logic unit.
COMPUTER SYSTEM AND SCALE-UP MANAGEMENT METHOD
It aims to make it possible to readily and rapidly scale up the server which executes one application.
In a computer system which includes one or more compute server(s) which each has an application container which executes the one application and a management server which manages the compute server(s), the management server is configured to, in a case of increasing the number of the compute servers which each has the execution unit which executes the one application, specify a logic unit that a data unit that the execution unit of an existing compute server utilizes upon execution of an application is stored, and in a case where the execution unit of a newly added computer server executes the application, set the newly added compute server so as to refer to the specified logic unit.
Cluster resource management in distributed computing systems
Techniques are provided for managing resources among clusters of computing devices in a computing system. Resource reassignment message are generated for indicating that servers are reassigned and in response to resource compute loads exceed or fall below certain thresholds. Techniques also include establishing communications with the reassigned servers to assign compute loads without physically relocating the servers from one cluster to another cluster.
Cluster resource management in distributed computing systems
Techniques are provided for managing resources among clusters of computing devices in a computing system. Resource reassignment message are generated for indicating that servers are reassigned and in response to resource compute loads exceed or fall below certain thresholds. Techniques also include establishing communications with the reassigned servers to assign compute loads without physically relocating the servers from one cluster to another cluster.
Service registration based on service capabilities requirements and preferences
A registrar entity, such as a service layer gateway, obtains the service capabilities requirements or preferences of a new registree entity, such as an application, and only accepts a registration of the registree if the registrar has sufficient remaining service capacities to meet the service capabilities requirements or preferences of the registree entity while ensuring that the provision of support to existing registree entities is not impacted. If the registrar lacks the capabilities to satisfy the requirements or preferences, it may contact a server to identify another registrar which has the capabilities. Updates to requirements or preference may originate at any node, e.g., at a user equipment device or a service.
Service registration based on service capabilities requirements and preferences
A registrar entity, such as a service layer gateway, obtains the service capabilities requirements or preferences of a new registree entity, such as an application, and only accepts a registration of the registree if the registrar has sufficient remaining service capacities to meet the service capabilities requirements or preferences of the registree entity while ensuring that the provision of support to existing registree entities is not impacted. If the registrar lacks the capabilities to satisfy the requirements or preferences, it may contact a server to identify another registrar which has the capabilities. Updates to requirements or preference may originate at any node, e.g., at a user equipment device or a service.
Multi-access edge computing low latency information services
A multi-access edge computing (MEC) platform may receive an indication that a user device has downloaded a MEC application client associated with a MEC application and may send, to the user device, instructions to install a device client. The device client may transmit device information associated with the user device to the MEC platform. The MEC platform may receive the device information associated with the user device and determine, based on the received device information, performance information associated with the MEC application.
Multi-access edge computing low latency information services
A multi-access edge computing (MEC) platform may receive an indication that a user device has downloaded a MEC application client associated with a MEC application and may send, to the user device, instructions to install a device client. The device client may transmit device information associated with the user device to the MEC platform. The MEC platform may receive the device information associated with the user device and determine, based on the received device information, performance information associated with the MEC application.