Virtual Instruments Corporation

Virtual Instruments Worldwide, Inc.

Nicholas York

Francis Niestemski

Rosanna Lee

Xiaohong Pan

Ryan E Perkowski

Vishal Neema

Devin Blinn Avery

Genti Cuni

Leo Szumel

Xiongwei He

Zhipeng Gong

Dale Coldiron

Arpit Malhotra

Susanta Pattanayak

Ana Bertran Ortiz

An example method comprises receiving flow packets from network traffic analyzing platforms, for each particular flow packet: identify the particular flow packet as belonging to one of at least two flow packet types based on a format, if the particular flow packet is sFlow, determine if the particular flow packet is an sFlow sample, counter record, or a third packet type, if the particular flow packet is the sFlow sample or counter record, identify a flow source of the particular flow packet and at least one metric, and update a flow source data structure else ignore the particular flow packet, and if the particular flow packet is a second flow packet type: if the particular flow packet is of a format that matches a template, identify the flow source, and update the flow source data structure to include the identified flow source and the at least one metric.

System and method of flow source discovery

A method comprising: receiving an analytic task which includes a priority indicator associated with the analytic task, determining a position of the analytic task in a task queue, the task queue arranged in an order according to their priority indicators, selecting the analytic task based on the order of the task queue, sending the analytic task to an analytics service to determine if the analytics service has sufficient available resources to perform the analytic task, receiving an indication that the analytics service does not have sufficient available resources to perform the analytic task, repositioning the analytic task within the task queue, selecting the analytic task from the task queue based on the order of the task queue and a new position of the analytic task, sending the analytic task to the analytics service, and retrieving another analytic task to send to the analytics service.

Methods and system for throttling analytics processing

A method comprising: receiving object identifiers associated with each entity of an enterprise network, receiving relationship data indicating directionality of data flow between two or more entities of enterprise network, receiving search query which includes at least one of an object identifier associated with one of the entities or relationship data indicating directionality of data flow associated with one of the entities, traversing a portion of topology to identify objects of the portion of the topology and a pivot point, the pivot point being directionally coupled to at least three objects, identifying two mini-topologies based on two of the least three objects of the pivot point, traversing each of the two mini-topologies to identify further objects within the portion of the topology, generating a partial topology based on the traversal of the portion of the topology and of the mini-topologies, and providing information including objects identified in the partial topology.

Systems and methods for hub and spoke cross topology traversal

An example method comprises receiving a begin time to initiate storage network traffic data collection from a plurality of data probes integrated within an enterprise network, collecting network data identifying HBA ports used to communicate with storage ports from the probes, analyzing the network data to determine attributes of network traffic, determining for each storage unit: a penalty score for each of the storage ports determining a reconfiguration of a storage unit or HBA based at least in part on the total penalty score, simulating changes of the reconfiguration of the storage unit or the HBA and simulate storage network traffic, applying the simulated storage network traffic on the simulated changes of the reconfiguration of the storage unit or HBA to determine improvements, and outputting instructions to enable reconfiguration of the storage unit or HBA.

Systems and methods of application-aware improvement of storage network traffic

A method comprises receiving network data from a network traffic monitoring platform of an enterprise network, the network data identifying communication between entities, analyzing the network data to identify applications, and comparing at least a first quality based on the communication between at least two of the plurality of entities to a first threshold to identify at least one application, receiving a request to suspend the application discovery process and creating a bookmark of the last network data received from the network traffic monitoring platform, the request to suspend the application discovery process being sent when one of a plurality of suspension trigger conditions is satisfied, receiving a request to reinitiate the application discovery process and receiving the network data from the network traffic monitoring platform at the bookmark, and creating a discovered application entry from the at least one identified application of the enterprise network.

System and method of application discovery

A network monitor is used to determine resource (e.g., CPU, memory, storage, or network) utilization of one or more virtual machines on one or more corresponding servers. Using resource utilization data for an original configuration of the virtual machines on the servers, the described system and methods simulate reconfigurations of various VMs on servers, determines resource utilization of the simulated reconfigurations, and proposes a reconfiguration that results in lower resource utilization across the one or more corresponding servers.

Virtual machine processor and memory resource coordinator

An information system identifies redundant communication paths between a server and a storage device in a storage area network and classifies the state of the paths according to the distribution of workload amongst them. To make the classification, the information system pairs up active paths. For each pair of active paths, the information system identifies traffic data of the two paths. The information system compares the traffic data of the two paths. Based on the comparison, the information system determines whether workload is balanced or imbalanced between the two paths.

Validating workload distribution in a storage area network

A system for improving performance of a network includes a monitor that obtains data sets corresponding to network performance, infers characteristics from the data set and generates visualizations and recommendations. In one aspect, the network is a storage area network and the system generates a box plot showing response time based on inferred queue depth, and recommending a queue depth setting if possible.

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San Ramon, CA, United States of America

Nicholas York