Hewlett Packard Enterprise Development LP

Aruba Networks, Inc.

Aruba Netwroks, Inc.

Gopal Agarwal

Venkatesh Joshi

Manaswini Lakshmikanth Sugatoor

Brijesh Kumar Yadav

Anupam Wadhawan

Partha Narasimhan

Manas Sharma

Pradeep Iyer

Gopal Gupta

Ataur Rehman

Edward Vajravelu

Sachin Shamrao Sanap

Keerti G Melkote

Navaneetha Krishna Gowda Thippesh

Ashish Vyas

Navaneetha Krishna

Sumit Kumar

Hari Krishna Kurmala

Ramesh Ardeli

Abhishek Mishra

Vamsi Kodavanty

Manoj Gupta

Ramalingeswara Reddy

Sridhar Chandrashekhar

Avadhesh Karia

Gopakumar Narayanan Nambisan

Varun Kudva

A method for troubleshooting and resolving access point device uplink failures. The method includes detecting an unresponsive access point on a wired computer network. In addition, the method includes retrieving a record of peer access points to determine the peer access points for the unresponsive access point. Further, the method proceeds to sending a first request to a peer access point of the unresponsive access point to query the unresponsive access point for a response over a wireless network. In response to the query, the network management system sends a notification that the unresponsive access point has a cable malfunction if the unresponsive access point responds to the query. Furthermore, the method includes, in response to the query, sending a notification to the network management system to inform that the unresponsive access point has a power malfunction if the unresponsive access point fails to respond to the query.

Troubleshooting and resolving access point failures on computer networks

A method for managing bandwidth may include identifying a first tier of applications and a second tier of applications, determining a number of user sessions associated with at least one application among the first tier of applications and the second tier of applications, each user session consuming a percentage of bandwidth of at least one communication channel in a network, and baselining a second tier application bandwidth use for each user session associated with the second tier of applications to determine a first interval and a second interval. The method may also include calculating a second tier application usage score associated with the second tier of applications, the calculating including determining a percentage of bandwidth used by the second tier of applications in the first interval and determining a percentage of bandwidth used by the second tier of applications in the second interval, generating a user score based on the second tier application usage score and a percentage of use of the first tier of applications, and adjusting a bandwidth allocation based on the user score.

Managing bandwidth based on user behavior

Systems and methods are provided for network device configuration update. A method includes selecting a group of network devices to receive a configuration update; ranking the network devices according to an importance; updating each of the network devices in order of the ranking, from least important to most important, comprising: generating a first health score for the network device, the first health score representing a performance level of the network device prior to the configuration update; updating a configuration of the network device according to the configuration update subsequent to generating the first health score; generating a second health score for the updated network device subsequent to updating the configuration of the network device; and responsive to the second health score being lower than the first health score by more than a predetermined score threshold, rolling back the configuration update for the network devices that have been updated.

Network device configuration update using rank and health

According to an example, an application initiating a communication session may be identified via a mapping of the application information with a pattern of interest included in a DNS server response corresponding to the application. Information regarding the communication session may be obtained and a determination may be made as to whether the communication session includes media data. If the communication session includes media data, control of the application and the communication session may be enabled via an interface.

Identification and control of applications and media sessions

An example system in accordance with an aspect of the present disclosure includes a controller to store Received Signal Strength Indicator (RSSI) information for an unassociated client detected by an access point (AP) of a wireless network. The controller is to identify that the unassociated client has associated with the wireless network, and identify the AP as a doorway AP in response to the client associating to the AP.

Identifying doorway access points

The present disclosure provides an improved computing system to determine a suitability of a RF plan and a dynamic wireless network system. The method includes receiving uploads of RF plans associated with wireless network deployments which provided wireless network capability throughout each respective deployment area. Further, storing the uploaded RF plans with in a network storage cloud. In addition, training a predictive model with the stored uploaded RF plans. The dynamic wireless network system disclosed herein includes a plurality of internet-of-things devices within a deployment area. The system further includes at least one network device communicatively coupled to each of the plurality of internet-of-things devices, wherein the at least one network device has access to a trained predictive model that is to determine a number of access points and a layout of the access points within the deployment area based on a set of characteristics associated with the deployment area.

Computing system to create radio frequency plans for wireless network deployments

Systems and methods are provided for seamless and automatic upgrade of access points in a facility with minimal disruption, particularly, for important users of a network. The access points may be ranked, and the rankings may be aggregated to identify a sub-region of the facility with the lowest ranked access points. Various sub-sets of the access points in the identified sub-region can be updated separately so that spatial coverage by the other sub-sets maintains continuous access within the sub-region during the updates. Updates to later sub-sets and/or sub-regions can be performed contingent on the success of the earlier updates. In this way, updates can be verified on access points used by lower-priority users such as guest users of the network to avoid disruption of access to more important users such as executives or safety workers on the network.

Access point update

Example implementations relate to neighboring network devices. For example, a non-transitory computer readable medium storing instructions executable by a processing resource can cause a computer to determine a characteristic affecting a subset of a plurality of network devices. The instructions can cause the processing resource to determine that at least two of the subset of the plurality of network devices that are affected by the characteristic are neighbors. The instructions can cause the processing resource to indicate a region to be associated with each network device of the subset based on the determination that at least two of the subset of the plurality of network devices are neighbors.

Neighboring network devices

The present disclosure discloses a system and a method for displaying mobile trails for mobile client devices. Specifically, a network device obtains a plurality of performance measurements and a corresponding plurality of physical locations for a client device over a period of time. Then the network device generates a plurality of visual representations for the client device over the period of time, each visual representation representing a respective performance measurement and a respective physical location at a respective time during the period of time. Moreover, the network device can display, store, and/or transmit a map of a physical environment with the plurality of visual representations.

System and method for displaying mobility trails for mobile clients

In some examples, a non-transitory computer-readable medium may contain instructions executable by a processing resource to collect Wi-Fi data points. The Wi-Fi data points may correspond to a plurality of users of an enterprise for a particular number of days. In some examples, the Wi-Fi data points may indicate a time period during each of the particular number of days when each of the plurality of users was connected to a Wi-Fi network. Instructions may further be executable to determine that a subset of the Wi-Fi data points represent outliers and remove the subset of Wi-Fi data points to create a data set. The data set may comprise non-outlier Wi-Fi data points. Instructions may further be executable to determine a Wi-Fi Adoption Index (WAI) for each of the plurality of users based on the data set.

Wi-Fi adoption index

Described herein are systems, devices, techniques and products for operating network devices, such as wireless access points, in a network environment. For example, wireless client devices may have resources reserved for their use by a network device if the wireless client device is categorized for such resource reservation, such as if the wireless client device is categorized as more important than other wireless client devices. Such categorization may be indicated by a context associated with the wireless client device, including belonging to or being associated with an important user or being used for an important purpose, such as emergency purposes, prescheduled purposes or involving multiple users. Reservation of wireless resources for wireless client devices may be performed to ensure an important user or device is provided with adequate resources to place a voice or video call, for example.

Distributed media classification algorithm in a service controller platform

Example method includes determining, by a network management device, a location of a client device in a wireless local area network (WLAN); identifying, by the network management device, a first region comprising the location of the client device, wherein an irregular boundary of the first region is arbitrarily defined on a floor plan based on a device sharing policy; determining, by the network management device, that the device sharing policy permits the client device to discover a network service provided by at least one network device; and selecting, by the network management device, the at least one network device to be presented as providing the network service available to the client device.

Precise and custom location based service discovery application for wired and wireless devices

Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Determining scale for received signal strength indicators and coordinate information

Example implementations relate to network deployment of devices. For example, a non-transitory computer readable medium storing instructions executable by a processing resource can determine a plurality of deployment thresholds of a plurality of devices, wherein the plurality of deployment thresholds are associated with a type of the plurality of devices. The instructions can cause the processing resource to monitor deployment data associated with the plurality of devices to identify a device with a deployment outlier. The device with the deployment outlier is a device with deployment data that is outside a deployment threshold of the device. The instructions can cause the processing resource to adjust the deployment threshold of the device based on the monitoring.

Network deployment

Examples relate to managing network traffic. In one example, a computing device may: receive voice network traffic from each of a plurality of voice clients; enqueue the received voice network traffic into a voice Wi-Fi Multimedia (WMM) queue; determine a measure of WMM queue utilization based on data queued in the voice WMM queue; determine a measure of radio congestion for a surrounding area; and determine, based on the measure of WMM queue utilization and the measure of radio congestion, to: stop prioritization of newly received voice traffic from new voice clients, or transition at least one of the plurality of voice clients to a neighboring computing device.

Growing community of inventors

Bengaluru, India

Gopal Agarwal