Juniper Networks, Inc.

Cognito Networks, Inc.

Nuu:bit, Inc.

Jagadishchandra Sarnaik

Sreenivasa R Tellakula

Jerome Pascal Moisand

Sanjay Wadhwa

Ravi Nuguru

Apurva Mehta

Rohini Kasturi

Kittur V Nagesh

Jacob W Jorgensen

Roopa Bayar

Gazal Sahai

Venkatesh Badakere Ramachandra

Thomas Garett Kavanagh

Vitaly Dzhitenov

Guruprasad Kini

Akhil Shashidhar

Jonathan Bosanac

Ujjvala Nangineni

Ram Prasad

Ujjvala Nagineni

An Internet of Things (IoT) entity manager receives a first data stream from a first system and identifies an entity associated with the first data stream. The IoT entity manager receives a second data stream from a second system, wherein the second system lacks interoperability with the first system, determines that the second data stream is associated with the entity, and dynamically generates a first virtual entity to represent the entity and to reflect an IoT context captured by the first virtual entity. The IoT entity manager applies a management policy to the first data stream and the second data stream to determine a status of the first virtual entity and provides a notification of the status of the first virtual entity as defined by the policy.

Creating and managing dynamic internet of things entities

A congestion control mechanism is described that is specifically designed to enhance the operation of TCP communication sessions for the delivery of web content. The congestion control mechanism dynamically adjusts the size of the congestion window in a manner that maximizes the speed of content delivery for web page requests in a cellular network. The dynamic window size adjustments, including the initial congestion control window size, are adaptive, changing as cellular network conditions change, and in a manner that is not possible with conventional TCP congestion control mechanisms that were not explicitly designed to accelerate content in cellular networks. The congestion control mechanism also learns from previous experience with a particular end user device address and network, and applies its learning to set its initial values and subsequent behavior to more optimal levels for the particular end user device and network.

Dynamically optimized transport system

In general, the invention is directed to techniques for offloading mobile data traffic from a mobile core network to a broadband network. For example, as described herein, a breakout gateway forwards a service request from a mobile device and addressed to a service node. The service node designates an access point name (APN) for offload such that data traffic associated with service requests specifying the designated APN is to be offloaded to an offload network. The service node receives the service requests from the breakout gateway and, if the service request specifies the designated APN, the service node sends a request to the breakout gateway. The breakout gateway receives the request and assigns a routable PDP address to the mobile device. An offload module on the breakout gateway redirects mobile data traffic to the offload network when the source PDP address of the traffic is the previously assigned PDP address.

Offloading mobile traffic from a mobile core network

A system is configured to: receive a message from a gateway device; identify one or more sessions corresponding to an identifier included in the message; and clear the one or more corresponding sessions. The identifier may correspond to a part of the gateway device where a session is stored or maintained for a mobile device to connect to a server device.

Partial failure messaging

Growing community of inventors

Gilroy, CA, United States of America

Jagadishchandra Sarnaik