Amazon Technologies, Inc.

Yuan-An Liu

Nikolay Krasilnikov

Benjamin Wojtowicz

Arnold F Cataniag

Theodore Joseph Maka'iwi DeRego

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.

Enhancing availability of radio-based applications using multiple compute instances and virtualized network function accelerators at cloud edge locations

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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Pleasanton, CA, United States of America

Yuan-An Liu