Juniper Networks, Inc.

Other

Tamarack Solar Products, Inc.

Cisco Technology, Inc.

Cisco Systems Inc.

Tibco Software Inc.

David M Katz

Dennis C Ferguson

Ross W Callon

Scott Mackie

David Delano Ward

Anthony Joseph Li

Stuart G Phillips

Vijay Paul

Pramod Srinivasan

Srinath Bayareddy

Aditya Thakur

Robert Stephen Rodgers

Thomas A Hill

Ramesh Rajan

Pradeep S Sindhu

Kireeti Kompella

James Michael Murphy

Rahul Aggarwal

Jayabharat Boddu

Abhijit Kumar Choudhury

Nischal Sheth

Daniel Jay Rope

Nitin Bahadur

Ina Minei

Dinesh Bakiaraj

Michael A O'Connell

Steven Hillion

Marianne Walpert

Jags Ramnarayan

William Ramsdell

Siva Ramalingam

Piotr Smolinski

Mounting clamps may be utilized to quickly and easily secure solar panel modules relative to mounting rails, which may in turn be secured relative to a mounting surface (e.g., a roof). The mounting clamps may be configured to quickly secure the solar pane modules relative to the mounting rails by tightening a tightening element to pull a clamp element toward the surface of a mounting rail, thereby clamping a portion (e.g., a frame) of a solar panel module between the clamping element and an outer surface of the mounting rail.

Solar panel mounting configuration

In general, techniques are described for organizing execution of distributed operating systems for network devices. A device comprising hardware computing nodes may be configured to perform the techniques. The hardware computing nodes may execute a protocol by which to discover a topology of the plurality of hardware computing nodes, and determine, based on the topology, a subset of the plurality of hardware computing nodes to manage execution of a distributed operating system. The determined subset of the plurality of hardware computing nodes may execute a communication bus by which to synchronize operating system state information between the subset of the plurality of hardware computing nodes. The hardware computing nodes may further execute, based on the operating system state information, the distributed operating system to provide an execution environment in which one or more applications execute.

Organizing execution of distributed operating systems for network devices

A process control tool for processing wide data from automated manufacturing operations. The tool including a feature selector, an analysis server, and a visualization engine. The feature selector receives process input data from at least one manufacturing process application, wherein the process input data includes a plurality of observations and associated variables, converts the received process input data to a stacked format having one row for each variable in each observation, converts identified categorical variables into numerical variables and identified time-series data into fixed numbers of intervals, computes statistics that measure the strengths of relationships between predictor values and an outcome variable, orders, filters, and pivots the predictor values. The analysis server performs at least one operation to identify interactions between predictor values, e.g. using maximum Likelihood computations or predefined searches, in the filtered predictor values. The visualization engine displays the interactions for use in managing the manufacturing operations.

Process control tool for processing big and wide data

The invention herein disclosed and claimed is an L-bracket and flashing assembly used to mount a rack for supporting a solar-panel array. It uses fewer sub-assemblies and is simpler and faster to install than prior art L-bracket and flashing assemblies.

Flashing and L-bracket assembly for rack mounting of solar panels on roof

The invention is a floating subsurface illumination system comprising a leak-proof enclosure, DC electric energy subsystem, LED light source subsystem, translucent diffuser, tethering eyelet, switch and charging port.

Floating subsurface illumination system

An apparatus for estimating analytics and interactive exploration of big data, stored and/or streaming, using approximate query processing is presented. The apparatus comprises a model constructor and a sampler. The model constructor identifies important predictors variables in big data using feature selection, predictor variables, and outcome variables and partitions the important predictor variables into one or more stratifications based either the identified interactions or identified relationships. The sampler generates a subset of data by querying the big data using a query constructed based on at least one stratification. The subset of data can be fed into an analytics generator. The analytics generator generates analytics data for the outcome variables based on the subset of data and an analytics algorithm and a visualization, e.g. an interactive visualization, comprising the outcome variables, the important predictor variables, the stratification, the subset of data, and the analytics data.

System for rapid interactive exploration of big data

In general, techniques are described for maintaining coherency in distributed operating systems for network devices. A network device comprising hardware computing nodes may be configured to perform the techniques. The hardware computing nodes may execute a distributed operating system. At least one the hardware computing nodes may determine whether one or more of the plurality of hardware computing nodes has failed and is no longer supporting execution of the distributed operating system, and determine whether remaining ones of the plurality of hardware computing nodes exceeds a quorum threshold. The at least one of the hardware computing nodes may further restart, when the remaining ones of the plurality of hardware computing nodes is less than the quorum threshold, the distributed operating system.

Maintaining coherency in distributed operating systems for network devices

In general, techniques are described for communicating state information in distribute operating system. A network device comprises a first hardware node and a second hardware node. The first hardware node may execute a first instance of a distributed operating system, and maintain a first data structure that stores a plurality of objects defining a portion of state information. The second hardware node may execute a second instance of the distributed operating system, and maintain a second data structure that stores synchronized versions of the plurality of objects. The first hardware node may further receive updated state information, update the first data structure to include the updated state information, and synchronize the updated first data structure with the second data structure. The second hardware node may synchronize the second data structure with the updated first data structure.

Communicating state information in distributed operating systems

In general, techniques are described for providing a hierarchical naming scheme used to propagate state information within network devices. A network device comprising a topic database and a processor may be configured to perform the techniques. The topic database may be configured to store a hierarchical naming scheme that associates objects representative of the state information to hierarchically arranged topics. The processor may be configured to associate consuming components within the network device to the hierarchically arranged topics, and operate as a producer component to publish an object to one of the hierarchically arranged topics. The processor may also be configured to propagate the published object to one of the consumer components associated with the one of the hierarchically arranged topics.

Hierarchical naming scheme for state propagation within network devices

A network device receives first objects defining first network data associated with an asynchronous distributed network and an asynchronous distributed network operating system and generates a natural name graph based on the first objects. The network device provides information describing the natural name graph to other network devices in the asynchronous distributed network and receives a second object defining second network data. The network device determines whether one of the first objects in the natural name graph is a duplicate of the second object and removes the one of the first objects from the natural name graph, to generate an updated natural name graph, when the one of the first objects in the natural name graph is a duplicate of the second object. The network device provides the updated natural name graph to the other network devices to prevent the other network devices from generating erroneous results.

Generating a natural name data structure to prevent duplicate network data associated with an asynchronous distributed network operating system

Growing community of inventors

Santa Cruz, CA, United States of America

David M Katz