Xaptum, Inc.

Venkatakumar Srinivasan

Pradeep Srinivas Barthur

Rohit Pasam

Gary W Grube

Mario Frank DeRango

David Robinson Bild

Zane Van Beckwith

Irina Guberman

A method includes receiving and temporarily storing data streams from Internet of Things (IoT) sensors. The method continues with determining whether some of the data streams have been requested by a subscribing computing entity. When some of the data streams are requested and the request is valid, the method continues with sending the requested data streams to the subscribing computing entity. The method continues with receiving additional data streams from the IoT sensors and overwriting the temporary storage of the data streams with the additional data streams.

Communication system and method for machine data routing

A method includes a first computing entity receiving a request for first data from an affiliated source device by a user device. When a re-encryption key of the user device is not based on a key pair of the first computing entity the method further includes decrypting the first encrypted data using a private key of the first computing entity and encrypting the recovered first data with a public key of a second computing entity to produce second encrypted data. The method further includes encrypting the second encrypted data with the re-encryption key of the user device to produce double encrypted data. The method further includes sending the double encrypted data to the user device, where the user device is capable of decrypting the double encrypted data to recover the first data using a private key of the user device based on a key pair of the second computing entity.

Scalable and secure message brokering approach in a communication system

A method includes a computing entity receiving sets of data streams from local networks. The method further includes de-aggregating and de-packetizing the sets of data streams using aggregating and packetizing protocols to recover sets of sets of raw data elements. The method further includes, for a user computing device, selecting a group of raw data elements from the sets of sets of raw data elements using client data selection criteria. The method further includes aggregating and packetizing the group of raw data elements in accordance with a network aggregating and packetizing protocol to produce a client data packet and transmitting the client data packet to the user computing device.

Optimizing data transmission parameters of a proprietary network

A method includes a source computing device receiving an actual transmission time of a previous data message sent from the source computing device to a target computing device. When the actual transmission time is within a timing tolerance of a desired transmission time, the method further includes setting a transmission change indicator for a next data message to no-change. When the actual transmission time is greater than the timing tolerance plus the desired transmission time, the method further includes and setting the transmission change indicator to increase transmission speed. When the actual transmission time is less than the desired transmission time minus the timing tolerance, the method further includes setting the transmission change indicator to decrease transmission speed.

Communicating data messages utilizing a proprietary network

A method for processing machine data within a communication system that includes a computing unit receiving a network data message from a wireless access node of the communication system and determining whether the network data message includes machine data. When the network data message includes the machine data, the method further includes the computing unit identifying a wireless data device associated with the network data message to produce a wireless data device identifier, identifying one or more cloud services to produce one or more cloud service identifiers, and for each cloud service, processing the machine data to produce a transformed data message, where the transformed data message is in accordance with a data protocol associated with the cloud service, and facilitating transmission of the transformed data message to the cloud service.

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Chicago, IL, United States of America

Venkatakumar Srinivasan