Amazon Technologies, Inc.

Bmc Software, Inc.

Microsoft Technology Licensing, LLC

Internap Network Services Corporation

Autonomic, LLC

Benjamin Black

Benjamin Aldouby Schwartz

Kristopher Kosmatka

Jeremiah M Dunham

Jason LaPier

Justin Abrahms

Andrew Tunall

Cliff Moon

Ophir Ronen

John Thomas Carlson

Edet Nkposong

Tim LaBerge

Dawn Cseh

Paul J Schachter

Christopher D Wheeler

Oscar Stiffelman

Chris Brown

Stephen Ramsey

Robert J Petri

Gaurav Mathur

Matt Ayers

Dan Cohn

Scott Laird

Jonathan Miller

Michael McMillin

David W Bryson

Carlos Garcia Alvarado

Jason Lapier

Marc A Spehlmann

Gregory Lorin Limes

Richard G Hallman

Andreas M Kasprzok

Jason Paul Hum

Sean James Cullen

Jagannath Timma

A user of a storage system can upload files for a media asset, which can include a high quality media file and various related files. As part of the upload process, the storage system can extract metadata that describes the media asset. The user can specify one or more lifecycle policies to be applied for storage of the asset, and a rules engine can ensure the application of the one or more policies. The rules engine can also enable the use of simple media processing workflows. A filename hashing approach can be used to ensure that the segments and files for the asset are stored in a relatively random and even distribution across the partitions of the storage system. As part of the lifecycle for the asset, the high quality media file can be moved to less expensive storage once transcoding of the asset or another such action occurs.

Media storage

An example system may include one or more collectors and an analyzer. The one or more collectors receive a plurality of data streams that include operational data for a plurality of application nodes. The plurality of data streams are captured and provided by a plurality of meters deployed on at least one cloud computing platform to respectively meter the plurality of application nodes. The analyzer processes the plurality of data streams to generate real-time performance data for a first application of a plurality of applications and generates, based on the real-time performance data for the application instances, statistics for data flows between components of the first application. The analyzer generates comparative statistics on the performance of the first application relative to the performance of the plurality of applications hosted, and reallocated, based on the comparative statistics, resources for the performance of the first application.

Application monitoring for cloud-based architectures

Various techniques for source imposition of network routes are disclosed herein. In one embodiment, a method includes receiving label values at a source host from a label server. The individual label values corresponding to a network route to one of the hosts or network nodes in the computing network. The method also includes constructing a label stack to reach a destination virtual machine on a destination computing device in the computing network based on the received label values corresponding to the destination computing device and a location of the source computing device in the computing network. The method also includes imposing the constructed label stack on a packet destined to the destination virtual machine on the destination computing device.

Source imposition of network routes in computing networks

An example system may include one or more collectors, an analyzer, and a presentation module. The one or more collectors receive a plurality of data streams that include operational data for a plurality of application nodes. The plurality of data streams are captured and provided by a plurality of meters deployed on at least one cloud computing platform to respectively meter the plurality application nodes. The analyzer processes the plurality of data streams to generate real-time performance data for an application associated with the plurality of application nodes. The presentation module streams the real-time performance data to at least one stakeholder of the application for display via a dashboard. The real-time performance data includes one or more performance metrics describing the performance of plurality of the application nodes of the application.

A method and system for pointing a Internet user requesting access to content on a particular web site to one of a plurality of content servers associated with that web site based on one or more cost measurements associated with serving said content. The identification of the web site is mapped to the content servers associated with that web site. The user's IP address is then mapped to a particular content server based on a cost function and the IP address of the selected content server is provided to the user.

Method and system for directing requests for content to a content server based on network performance

A Private Network Access Point (PNAP) packet switched network is provided where two customers connected to the same PNAP exchange traffic through the PNAP without transiting over the backbones of the Internet. In addition, a multi-homed customer connected to the PNAP is provided with access to the PNAP optimized routing table so that the customer will also have the ability to know the best route for a particular destination. In this way, if a multi-homed customer connected to a particular National Service Provider (NSP) to which a destination is also connected, the PNAP customer can use the PNAP information regarding the NSP to send the information to the destination through that commonly connected NSP in the most direct fashion.

Private network access point router for interconnecting among internet route providers

Growing community of inventors

Seattle, WA, United States of America

Benjamin Black