Avaya Inc.

Liveperson, Inc.

Avaya Management L.p.

Thorsten Ohrstrom Sandgren

Amit Mishra

Joel M Ezell

Harsh V Mendiratta

Timothy Ian Ross

A load-balancing system can provide dynamic allocation of distributed resources to one or more communication interfaces. The load-balancing system may receive an indication that a value of a resource is less than a threshold. The value may represent a quantity of resources associated with a communication network. The load-balancing system may transmit a request for resources to a set of computing device. The load-balancing system may receive an identification of a subset of the set of computing devices that approve the request for the resources and facilitate allocation of the resources associated with the subset of the set of computing devices to the communication network by causing a connection to be established between the subset of the set of computing devices and the communication network.

Methods and systems for dynamic agent resource allocation

A computing device of a communication network may generate a first connection context that can manage a first voice connection between a first device and a second device. A signal may be received over the first connection context indicative of a request by the first device. In response, the computing device may connect the first device to a second connection context that can manage a second voice connection between the first device and an automated service such as a communication bot. The first device can transmit natural language requests to the automated service. The automated service facilitates execution of the natural language requests by the computing device.

Methods and systems for combined voice and signaling

Systems and method are provided for load balancing in distributed networks. A computing device uses historical resource allocation data associated with a service deployed within a distributed network to train a machine-learning model configured to generate a threshold processing load usable to determine when processing resources allocated to a service within a particular distributed network are to be increased. An autoscaler of the computing device may instantiate a first quantity of partitions within a processing node of the particular distributed network. The computing device may execute the machine-learning model using a load value associated with the first quantity of partitions to generate a threshold processing load. Upon receiving an updated load value that is greater than the threshold process load, the autoscaler may instantiate a second quantity of partitions and, in response, modify the autoscaler based on the updated load value.

Methods and systems for AI-based load balancing of processing resources in distributed environments

Systems and method are provided for load balancing in distributed environments. A computing device may instantiate a first quantity of partitions within a processing node. The first set of partitions can be configured to support a service accessible by multiple user devices. The computing device may determine that a load value corresponding to the first quantity of partitions is greater than a threshold and in response, cause an autoscaler to instantiate a second quantity of partitions. The quantity of petitions in the second quantity of partitions may be determined based on the first quantity of partitions. The computing device may then modify the autoscaler based on an indication that the second quantity of partitions has been instantiated. Modifying the autoscaler can include adjusting the threshold to reduce a likelihood that a subsequent load value is greater than the threshold.

Methods and systems for dynamic load balancing of processing resources in distributed environments

Communication servers hosting interactions between requesting devices and resources may require load sheading or maintenance and, as a result, be placed in Deny New Service (DNS) mode, whereby a subsequent session request is refused while existing sessions continue until concluded. However, an interaction comprising an existing session may be supplemented by a subsequent session, often utilizing a different application layer implementation. By providing the requesting device with an interaction identifier, a subsequent session made after the server has been placed in DNS mode, may be accepted and associated with the same resource associated with the existing session.

Communication session addition via a host in deny new service mode

During a Session Initiation Protocol dialog setup, a media gateway or container executes or initiates two or more applications that provide features during a conference call. The applications are applied to messages or data in the conference call based on a sequence order established during the setup of the conference call. The sequence order and the application identities are stored in a shared database. When a failure occurs during the conference call, the applications are reestablished in the reconstructed or reestablished conference call. The application reconstruction includes reinitiating the applications with the same sequence as previously established before the failure. As such, the user has the same features applied in the same way before and after the failure, which improves the systems performance and expected operation.

Snap-in invocation for call reconstruction

When a communication session is established, a primary sequenced application is sequenced into the communication session. At some point, the primary sequenced application fails. Before the communication session has been reestablished, an in-dialog message is received for the first communication session. In response to determining that the primary sequenced application has failed and receiving the in-dialog message for the first communication session, reestablishment of the first communication session is expedited to a backup sequenced application. The communication session is reestablished. This allows a communication session that was normally going to be dropped to stay established, thus providing higher reliability over current systems.

High availability take over for in-dialog communication sessions

A method, server, and communication system are described that, among other things, enable a server in a server cluster to assume control of any 'early' Session Initiation Protocol (SIP) dialogs previously handled by another server in the server cluster when that server fails or otherwise becomes unable to continue handling a communication session. The replacement server in the server cluster is able to generate one or more messages that include an identification of the dialog identifiers used by the now failed server as well as new dialog identifiers to replace the dialog identifiers used by the now failed server.

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Thornton, CO, United States of America

Thorsten Ohrstrom Sandgren