Nebbiolo Technologies, Inc.

Cisco Technology, Inc.

Palo Alto Networks, Inc.

Tttech Industrial Automation Ag

Pankaj Bhagra

Palani Chinnakannan

Flavio Giovanni Bonomi

Kannan Devarajan

Chandra Shekhar Joshi

Clarence Filsfils

Pradosh Mohapatra

Nikunj Vaidya

Ruchir Tewari

Ravi Bhagavatula

Arun Satyanarayana

Arivu Mani Ramasamy

Sureshkumar Kaliannan

Prashant Murlidhar Dave

Srinivasan Komandoor Santhanam

Thushar Gowda

Thiru Narayanan

Aniket Ghule

Techniques for load balancing secure network traffic are disclosed. A system, process, and/or computer program product for load balancing secure network traffic includes monitoring network traffic for one branch of a plurality of branches for an enterprise network, and splitting the network traffic of the one branch into a plurality of network segments based on a determination that the network traffic exceeds traffic capacity of at least one security processing node (SPN) of a plurality of SPNs using a network load balancer (NLB) in communication with a plurality of Network Processing Nodes (NPNs), the plurality of monitored branches being distributed to the plurality of SPNs via a plurality of tunnels.

Load balancing secure network traffic

The present disclosure envisages optimization of a time-sensitive fog network deployed in an industrial environment. The time-sensitive fog network comprises a plurality of fog nodes communicably coupled to a plurality of industrial equipments referenced as endpoints. Each fog node is embodied with a plurality of computer-based resources including computational resources, storage resources, security resources, network resources, application-specific resources, and device-specific resources. The resource constraints that warrant the endpoints to cooperate with specific fog nodes to access specific resources are manifested as a compute profile, a storage profile, a security profile, a network profile, an application-specific profile, and a device-specific profile. The endpoints are optimally provisioned to cooperate with the fog nodes and consume the computer-based resources embodied therein, based on a deployment model that optimally and deterministically correlates the plurality of computer-based resources embodied in each of the fog nodes to the resource profiles attributed to each of the endpoints.

Centrally managed time-sensitive fog networks

Systems and methods for security of industrial data streams are provided herein. Methods according to various embodiments include provisioning a fogNode that is communicatively coupled with a fog cloud manager through a forwarder of the fogNode and providing a fogLet within the fogNode, the fogLet communicating with a plurality of operational technology devices. Embodiments include providing fogLet identification information using hardware root of trust of the fogNode, the hardware root of trust of the fogNode being a Trusted Platform Module (TPM) of the fogNode. Embodiments further comprise communicating operational device authentication information with fogLet identification information to a third party tenant application, the third party tenant application validating industrial data streams from the operational technology devices by communicating the operational device authentication information with the fogLet identification information to a third party cloud application.

Systems and methods for securing industrial data streams with a fog root of trust

Adaptive scheduling of compute functions in a fog network is described herein. An example method includes synchronizing kernel and hypervisor scheduling of applications used to control one or more edge devices using a global schedule, wherein the global schedule comprises timeslots for applications, and adapting the timeslots in real-time or near real-time based on application-based time related feedback that is indicative of time delays.

Adaptive scheduling for edge devices and networks

According to some exemplary embodiments, the present disclosure is directed to a secure edge datastream processing and distribution system comprising a trusted datastream with metadata indicating ownership and access rights added at an edge. Further embodiments include sensors, machines or robots sending sensor data attributes to a fog operating system data pipeline, the fog operating system data pipeline sending dynamic data tags to secure containers and/or the fog operating system data pipeline sending role and org assignment data to secure containers. The secure containers may send correlated edge analytics to an authorization policy engine, and/or the secure containers may send datastream identification definition data to an authorization policy engine.

Systems and methods for designing and securing edge data processing pipelines

Disclosed herein are enhancements for operating an input/output (I/O) management cluster with end I/O devices. In one implementation, a method of operating an I/O cluster includes, in a first I/O management node of the I/O management cluster, executing a first application to manage data for an I/O device communicatively coupled via at least one switch to the first I/O management node. The method further provides identifying a failure in the first I/O management node related to processing the data for the I/O device and, in response to the failure, configuring the at least one switch to communicate the data for the I/O device with a second I/O management node of the I/O management cluster. The method also includes, in the second I/O management node and after configuring the at least one switch, executing a second application to manage the data for the I/O device.

High availability input/output management nodes

Enterprise grade security for integrating multiple computing domains with a public cloud is provided herein. An example system a forwarder that provides one-way data publishing to a public cloud and a data bus that provides domain-to-domain messaging between a plurality of domains. At least one of the plurality of domains includes operational technology infrastructure devices and operational technology virtual machines. The operational technology virtual machines are communicatively coupled to the operational technology infrastructure devices using one or more operational technology switches. The operational technology switches isolates the operational technology infrastructure devices and facilitates one-way communication and prevents bidirectional communication to the operational technology infrastructure devices from the public cloud.

Enterprise grade security for integrating multiple domains with a public cloud

Provided herein are exemplary systems and methods for a fog computing facilitated flexible factory including establishing a physical production process as part of a work cell, establishing a sensing process as part of the work cell for the physical production process, establishing a monitoring process for the sensing process and the physical production process, establishing a managing process for the monitoring process, the sensing process and the physical production process, establishing a planning process for the managing process, the monitoring process, the sensing process and the physical production process, and establishing a fog node as part of the work cell for all of the processes.

Fog computing facilitated flexible factory

In one embodiment, a network device may detect a data plane critical fault condition, while a corresponding control plane is not experiencing a critical fault condition. In response to a network device based critical fault condition, the network device may activate and advertise an increased and expensive usable metric for each network interface of the network device. On the other hand, in response to an interface based critical fault condition, the network device may activate and advertise an increased and expensive usable metric for one or more particular network interfaces of the interface based critical fault, and signals, over the control plane to a corresponding network device at an opposing end of each particular network interface of the interface based critical fault, a request to activate and advertise an increased and expensive usable metric at the opposing end of each particular network interface.

Growing community of inventors

Fremont, CA, United States of America

Pankaj Bhagra