H04L67/1014

SMB2 scaleout

Systems and methods are disclosed for clients and servers operating in a scaled cluster environment. Efficiencies are introduced to the process of connecting a client to a clustered environment by providing the client with the ability to attempt a connection with multiple servers in parallel. Servers operating the in the clustered environment are also capable of providing persistent storage of file handles and other state information. Ownership of the state information and persistent handles may be transferred between servers, thereby providing clients with the opportunity to move from one server to another while maintaining access to resources in the clustered environment.

System and method for diameter messaging in computer networks
11570240 · 2023-01-31 ·

A system and method for diameter agent load balancing. The method including: receiving a request from a sending diameter node; parsing at least one Attribute-Value Pair (AVP) from the request; determining a partition-identifier (partition-id) from the at least one AVP; determining a receiving diameter node, based on the partition-id; and sending the request to the receiving diameter node. The system including: a message module configured to receive a request from a sending diameter node; a parsing module configured to parse at least one Attribute-Value Pair (AVP) of the message from the request and determine a partition-id from the at least one AVP and a receiving diameter node, based on the partition-id; and a forwarding module configured to send the request to the receiving diameter node.

System and method for diameter messaging in computer networks
11570240 · 2023-01-31 ·

A system and method for diameter agent load balancing. The method including: receiving a request from a sending diameter node; parsing at least one Attribute-Value Pair (AVP) from the request; determining a partition-identifier (partition-id) from the at least one AVP; determining a receiving diameter node, based on the partition-id; and sending the request to the receiving diameter node. The system including: a message module configured to receive a request from a sending diameter node; a parsing module configured to parse at least one Attribute-Value Pair (AVP) of the message from the request and determine a partition-id from the at least one AVP and a receiving diameter node, based on the partition-id; and a forwarding module configured to send the request to the receiving diameter node.

CLOUD PROVISIONING READINESS VERIFICATION

Technology described herein can verify readiness of a customer tenant/customer for cloud provisioning based on the customer tenant. An example method comprises collecting, by a system comprising a processor, data based on user input from a customer tenant via a user interface, the data comprising information of a configuration setting that is to be used for cloud provisioning of a device based on the configuration setting. The method comprises, in response to collecting the configuration setting, analyzing, by the system, the configuration setting by comparing the configuration setting with respect to a selected rules check. The method comprises, in response to the analyzing of the configuration setting, determining, by the system, whether the configuration setting is acceptable for use in the cloud provisioning based on the configuration setting.

CLOUD PROVISIONING READINESS VERIFICATION

Technology described herein can verify readiness of a customer tenant/customer for cloud provisioning based on the customer tenant. An example method comprises collecting, by a system comprising a processor, data based on user input from a customer tenant via a user interface, the data comprising information of a configuration setting that is to be used for cloud provisioning of a device based on the configuration setting. The method comprises, in response to collecting the configuration setting, analyzing, by the system, the configuration setting by comparing the configuration setting with respect to a selected rules check. The method comprises, in response to the analyzing of the configuration setting, determining, by the system, whether the configuration setting is acceptable for use in the cloud provisioning based on the configuration setting.

SYSTEM AND METHOD OF DYNAMIC AND SCALABLE IoT FRAMEWORK

A method and a system for providing one or more services to one or more user devices

in an IoT network in a scalable M2M (Machine to Machine) framework. The method comprises receiving a connection request from the one or more user devices [202] at a load balance of the IoT network, the connection request comprises at least a username comprising a cluster identifier. The load balancer [204] determines a cluster identifier based on the connection request and identifies at least one target cluster from the one or more clusters [206], said target cluster being associated with the identifier cluster identifier. The load balancer [204] routes the connection request to the at least one target cluster to provide the one or more services to the one or more user devices [202].

Direct server reply for infrastructure services
11706290 · 2023-07-18 · ·

An edge server of an infrastructure service establishes a transport connection in user space with a client and in accordance with a transport layer network protocol. The edge server receives a packet over the transport connection with the client that comprises a request for an object. If the edge server cannot serve the object, it forwards the request to a cluster server with an intent indicated for the cluster server to reply directly to the client. The cluster server receives the forwarded request and determines whether to accept the intent indicated by the edge server. If so, the edge server conveys instructions to the cluster server for sending at least a portion of the object directly to the client. The cluster server then sends at least the portion of the object to the client in accordance with the instructions.

Direct server reply for infrastructure services
11706290 · 2023-07-18 · ·

An edge server of an infrastructure service establishes a transport connection in user space with a client and in accordance with a transport layer network protocol. The edge server receives a packet over the transport connection with the client that comprises a request for an object. If the edge server cannot serve the object, it forwards the request to a cluster server with an intent indicated for the cluster server to reply directly to the client. The cluster server receives the forwarded request and determines whether to accept the intent indicated by the edge server. If so, the edge server conveys instructions to the cluster server for sending at least a portion of the object directly to the client. The cluster server then sends at least the portion of the object to the client in accordance with the instructions.

Local preference in anycast CDN routing

Embodiments herein describe a CDN where anycast routing is used to identify a load balancer for selecting a cache in the CDN to use to deliver a requested object to a user. In one embodiment, the user performs a DNS lookup to identify an anycast IP address for a plurality of load balancers in the CDN. The user can then initiate anycast routing using the anycast IP address to automatically identify the closest load balancer. Once the identified balancer selects the cache, the load balancer can close the anycast connection with the user device and use an HTTP redirect to provide the user device with a unicast path to the selected cache. The user device can then establish a unicast connection with the cache to retrieve (e.g., stream) the object.

MEDIA SYSTEM WITH MULITPLE DIGITAL ASSISTANTS
20230223024 · 2023-07-13 · ·

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for providing voice control using multiple digital assistants. In some embodiments, a voice platform operates to receive a voice input from a user. The voice platform selects a digital assistant from a plurality of digital assistants based on a trigger word. The voice platform then generates an intent from the voice input using the selected digital assistant. The voice platform then transmits the intent to a media device for processing.