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公开(公告)号:US11937103B1
公开(公告)日:2024-03-19
申请号:US17820542
申请日:2022-08-17
Applicant: Amazon Technologies, Inc.
IPC: H04W24/02 , G06F9/455 , H04L41/0895
CPC classification number: H04W24/02 , G06F9/45558 , H04L41/0895 , G06F2009/4557 , G06F2009/45595
Abstract: State information of a radio-based application, used to process messages of the application, is made accessible from a first compute instance and a second compute instance at a virtualization server. The first instance is assigned to process a first portion of a workload of the application, including a message which comprises a result of a network function executed at a network function accelerator of the server. In response to determining that a condition for migrating workload from the first compute instance has been met, an additional message of the first portion is directed to the second compute instance. The second compute instance processes the additional message using the state information.
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公开(公告)号:US11888701B1
公开(公告)日:2024-01-30
申请号:US18066076
申请日:2022-12-14
Applicant: Amazon Technologies, Inc.
Inventor: Yuan-An Liu , Arnold Cataniag
IPC: H04L41/122 , H04L41/0663
CPC classification number: H04L41/122 , H04L41/0663
Abstract: Disclosed are various embodiments for improving self-healing and resiliency of radio-based networks through the use of a community model. In one embodiment, a community model graph representing a radio-based network is generated. Individual nodes of the community model graph correspond to one or more network functions of the radio-based network. Individual edges of the community model graph correspond to a respective network connection between the network function(s) of the radio-based network. The individual edges are assigned a respective measure of relative importance. An adverse health event is detected that impacts a plurality of network connections between network functions in the radio-based network. Self-healing activities for the network connections are prioritized based at least in part on the respective measures of relative importance corresponding to individual network connections.
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