Cisco Technology, Inc.

Walmart Apollo, LLC

Honeywell International Inc.

International Business Machines Corporation

Sabic Global Technolgoies B.v.

Ashwin Kumar

Pratosh Deepak Rajkhowa

Ameya Ajay Shendre

Darrin Joseph Miller

Saravanan Radhakrishnan

Sanjay Kumar Hooda

Anand K Oswal

Prakash C Jain

Paul Wayne Bigbee

R R Pavan Kumar

John Parello

Ankur B Shah

Ravindra K Shetty

Sindhu Joseph

Jayanth Gangadhar

Padmanabhan Ramanujam

Sarat Pollakattu

Vivek Venkatanarasaiah

Andy May

Raj Kumar

Rahul Sagare

Kylie Speirs

Somasekhar Bobba

Atul Gore

Techniques for group-based classification and policy enforcement at a network fabric edge for traffic that is being sent to external network destinations are disclosed herein. The techniques may include receiving, at a control plane of a network and from an edge node of the network, a request to provide mapping data associated with sending a packet to a destination. Based at least in part on an address prefix value associated with the destination, the control plane may determine that the destination is located in an external network. Additionally, a group identifier that is associated with the destination may be determined. In this way, an indication of the group identifier may be sent to the edge node such that the edge node may determine, based at least in part on the group identifier, a policy decision for routing the packet to the external network.

Group based classification and policy enforcement for external network traffic

Systems and methods are provided for receiving, at a network device, a first set of rules from a security controller of an enterprise network, the first set of rules being different from a second set of rules provided to a firewall by the security controller, implementing, at the network device, the first set of rules received from the security controller, generating, at the network device, a first log including metadata based on the first set of rules, the first log being generated on a per flow basis, notifying, at the network device, a NetFlow of the first log including the metadata of the first set of rules, and providing, from the network device, the first log to a cloud-log store by the NetFlow of the network device, the cloud-log store receiving the first log from the network device and a second log from the firewall.

Distribution of stateless security functions

A data harvester enhances compliance audits by characterizing data sources, sampling data in one or more of the data sources to determine likelihood of success of the data harvest, estimating time for the data harvest, making recommendations from the samples based on machine learning relating to previous runs, then sampling additional data while estimated expected completion time. The harvested data may then be analyzed and compared to compliance requirements, and a compliance report may be generated.

Data harvester

A method including receiving a plurality of orders comprising one or more items, wherein the server computing device is configured to communicate with a plurality of user devices of a plurality of users associated with a plurality of retail stores. The method also can include batching the plurality of orders into different commodities, and generating a plurality of rebatched orders according to an optimization algorithm. The method additionally can include sorting the one or more items within the plurality of rebatched orders by sequence numbers based on at least a respective volume of each respective one of a number of containers. The method further can include transmitting the one or more items within the plurality of rebatched orders to the plurality of user devices for filling the each respective one of the number of containers with the one or more items within the plurality of rebatched orders. Other embodiments are disclosed herein.

System for improving in-store picking performance and experience by optimizing tote-fill and order batching of items in retail store and method of using same

A system and method includes receiving a plurality of orders having one or more items, separating the orders by load number and due times, batching the separate orders into different commodities, generate optimized rebatched orders according to an optimization algorithm that generates the optimized rebatched orders based on at least one of distance and volume of the items of the one or more items within the batched orders of the different commodities, sorting the one or more items within the rebatched orders by sequence numbers, and transmitting the sorted one or more items to a user device.

A system and method includes receiving a shopping list of one or more items inputted by a user into a user application running on the user device, generating a pick path through a retail store to pick the one or more items according to an optimization algorithm that generates the pick path based on XY location information of the one or more items within the retail store, obtaining a store map, the store map being indicative of a layout of the retail store, transmitting a representation of the store map and the pick path to the user device, and displaying the store map overlaid with the pick path on a graphical display of the user device.

System for providing optimal shopping routes in retail store and method of using same

A system and method includes receiving a plurality of orders having one or more items, separating the orders by load number and due times, batching the separate orders into different commodities, generating an optimized pick path through a retail store to pick the one or more items according to an optimization algorithm that generates the optimized pick path based on item location of the one or more items within the batched orders of the different commodities, obtaining a store map, the store map being indicative of a layout of the retail store, transmitting a representation of the store map and the optimized pick path to the user device, and displaying the store map overlaid with the optimized pick path on a graphical display of the user device.

System for improving order batching using location information of items in retail store and method of using same

A method is provided in which a network access system receives an initial request from a device requesting access to the network. In response to successfully authenticating the initial access request, the system causes a code to be transmitted in light emitted by one or more light fixtures within a physical space in which access to the network is to be restricted. The system receives information from the device requesting access to the network and determines whether to permit the device access to the network based on the initial request and on whether the received information is derived from the code transmitted by the one or more light fixtures, thereby indicating that the requesting device is within the physical space.

Method and system to provide multi-factor authentication for network access using light

Armrest

A network device communicates network traffic in one or more network flows via a plurality of ports. Each port is connected to a corresponding computing device. The network device collects flow-based network data associated with each corresponding computing device. The network device supplies electrical power to the corresponding computing devices via one or more of the ports, and collects power data associated with each corresponding computing device based on the electrical power supplied to each of the ports. The network device combines the flow-based network data for each corresponding computing device and the power data for each corresponding computer device to generate combined data associated with each corresponding computing device. The network device then exports the combined data for the corresponding computing devices to a security server, which detects anomalous behavior in the computing devices.

Anomaly detection and threat prediction through combined power and network analytics

A system and a method for organizing optimal paths in a sensor network. Optimal paths are determined based on an objective function that balances the performance and energy consumption of sensor nodes. Each sensor node stores and updates pheromone values and aging factors associated with each of its neighbor nodes. The pheromone values provide an indication of the speed of a given path, while the aging factor represents the use. Paths are compared using these variables and an optimal path is selected on each transfer so that the load is spread across a variety of sensor nodes, increasing network life.

Self-organization of sensor networks using ant colony optimization

A technique for clustering input data includes receiving data and reading a sample of the received data having a predetermined window length. The technique further includes checking the read sample of data for uncertainty and/or robustness and determining the clustering approach to be used to cluster the received data based on the outcome of the checking.

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Bengaluru, India

Ashwin Kumar