Vivint, Inc.

Other

Chevron U.s.a. Inc.

Andrew Harding

Julian Arthur Thorne

Alen Peacock

J T Olds

Jeff Wendling

John Timothy Olds

Jeffrey Michael Wendling

Paul Cannon

Erik Sean Nolte

Marjorie Levy

Deyi Xie

Ethan Ransom

Mikhail Strizhov

Dan Willoughby

Eric Wollesen

George Shank

Alen Lynn Peacock

A computer system for optimizing bandwidth usage within a cloud storage system identifies distinct requests to access a particular digital file. When the number of requests exceeds a threshold, the computer system queries a remote directory server for the particular digital file. The query system then receives, from the remote directory server, addresses to data blocks stored within multiple remote storage nodes. The system requests at least a portion of the addressed data blocks. Upon receiving the blocks, the system decodes the particular digital file from the portion of the addressed data blocks. The computer system then stores the decoded digital file within local memory and communicates the local-area network address to the remote directory server.

Link-server caching

A computer system for optimizing bandwidth usage by directly linking two remote devices requests, from a local network gateway, a network port assignment for a services management component within a local network. The system also receives, at the services management component, a network connection directed towards the assigned network port. The network connection is received at the assigned network port regardless of the associated network protocol. The system then identifies a hostname within a data packet received through the network connection. The system also identifies, within a services registry, one or more services registered to receive network connections associated with the identified network protocol. In addition, the system identifies from the one or more services a particular service that is associated with the hostname. The system then forwards the network connection to the particular service.

Dynamically addressable network services

Methods and systems are described for remotely monitoring a plurality of distributed remote storage devices. An example computer implemented method includes locally collecting monitoring data for one of the plurality of distributed remote storage devices, and periodically sending at least one of an aggregate of the locally recorded monitoring data and a summary of the locally recorded monitoring data to a remote location. The remote location includes at least one of another one of the plurality of distributed remote storage devices, at least one central server, and a set of the plurality of distributed remote storage devices.

Systems and methods for monitoring globally distributed remote storage devices

A computer system for optimizing bandwidth usage within a cloud storage system receives a request, through an application program interface (API), to store a digital file. The computer system then encodes the digital file into a set of multiple distinct blocks of data. The system also transmits the set of multiple distinct blocks of data to multiple remote storage nodes. The multiple distinct blocks of data are divided among at least a portion of the remote storage nodes. The system generates a log that comprises identification information associated with the digital file and an address for each respective block of data within each respective remote storage node. The system then transmits the log to a remote directory server. The directory server comprises multiple different logs that map multiple different digital files to the remote storage nodes.

Segmented cloud storage

Growing community of inventors

American Fork, UT, United States of America

Andrew Harding