Qualcomm Incorporated

Amazon Technologies, Inc.

Vmware, Inc.

Netflix Inc.

Nicira, Inc.

Bin Wang

Mark Watson

Payam Pakzad

Lorenzo Vicisano

Michael G Luby

Nathan Lee Burns

Scott Wright Heath

Thomas Stockhammer

Wei Wei

Ying Hai Chen

Ilia Langouev

Aleksey Pershin

Mark Julio Kalman

Saumitra Mohan Das

Christopher A Vick

Margaret Angeline Petrus

Nelamangal Krishnaswamy Srinivas

Gheorghe Calin Cascaval

Mehrdad Mohammad H Reshadi

Victor V Golosovker

Christopher Michael VanderKnyff

Austin Garbelman

Yon-Seo Kim

Rajarshi Gupta

Ramin Rezaiifar

Behrooz Khorashadi

Collin Charles Davis

Luis Henrique Ceze

Gerard Joseph Heinz, Ii

Rajiv Krishnamurthy

Jaber Mohammad Borran

Aditi Vutukuri

Farzad Ghannadian

Vinod Murli Mamtani

Michael P Mahan

Pavan Kumar Surishetty

Wendell Ruotsi

Ruopeng Ye

Jesen Kwok Ha

Vikram Mandyam

Keith Emery Belovay

Chettan S Dhillon

Shuzhen Chen

Adrian L D Sampson

Lan Luo

Ying Chen

A block-request streaming system provides for improvements in the user experience and bandwidth efficiency of such systems, typically using an ingestion system that generates data in a form to be served by a conventional file server (HTTP, FTP, or the like), wherein the ingestion system intakes content and prepares it as files or data elements to be served by the file server. A client device can be adapted to take advantage of the ingestion process. The client device might be configured to optimize use of resources, given the information available to it from the ingestion system. This may include configurations to determine the sequence, timing and construction of block requests based on monitoring buffer size and rate of change of buffer size, use of variable sized requests, mapping of block requests to underlying transport connections, flexible pipelining of requests, and/or use of whole file requests based on statistical considerations.

Enhanced block-request streaming using block partitioning or request controls for improved client-side handling

A block-request streaming system provides for low-latency streaming of a media presentation. A plurality of media segments are generated according to an encoding protocol. Each media segment includes a random access point. A plurality of media fragments are encoded according to the same protocol. The media segments are aggregated from a plurality of media fragments.

Enhanced block-request streaming system for handling low-latency streaming

A block-request streaming system provides for improvements in the user experience and bandwidth efficiency of such systems, typically using an ingestion system that generates data in a form to be served by a conventional file server (HTTP, FTP, or the like), wherein the ingestion system intakes content and prepares it as files or data elements to be served by the file server. The system might include controlling the sequence, timing and construction of block requests, time based indexing, variable block sizing, optimal block partitioning, control of random access point placement, including across multiple presentation versions, dynamically updating presentation data, and/or efficiently presenting live content and time shifting.

Enhanced block-request streaming system using signaling or block creation

Some embodiments provide a method for monitoring a distributed application. The method receives a request to perform data collection for the distributed application. The method identifies data compute nodes (DCNs) that implement the distributed application. The method sends commands to host machines on which the identified DCNs operate to detect events related to the DCNs and provide data regarding the detected events. The method uses the data regarding the detected events to generate a user interface (UI) display of the topology of the distributed application.

Monitoring distributed applications

Methods, apparatus, systems, and articles of manufacture are disclosed to improve containerized application visibility. An example apparatus includes a container application manager to build an inventory of the containerized application, the containerized application including a virtual machine, the virtual machine hosting one or more containers, and a network topology builder to invoke a virtual machine agent of the virtual machine to obtain network traffic events from the one or more containers to generate network topology information associated with the containerized application based on the inventory, generate a network topology for the containerized application based on the network topology information, build the visualization based on the network topology, the visualization including the inventory and the network topology information, and launch a user interface to display the visualization to execute one or more computing tasks.

Systems, methods, and apparatus to improve containerized application visibility

Systems and methods are provided for dynamically routing packets using multi-flow and multi-path multiplexing connections. A first computing device and second computing device communicate via a plurality of data flows, which may be routed across various network paths. Each flow is defined by a set of network addresses, a set of ports, and a protocol specification, such as UDP. The second device sends information to the first device regarding the various data flows. The first device may send probing packets to facilitate collecting data flow information. Information may include latency, packet loss, and other values. Based on the information received, the first device may select or prioritize data flows to mitigate congestion, and address performance criteria. The first device may also transmit information regarding selected data flows to other devices, allowing the other devices to utilize a selected data flow even if they lack multiplexing capability.

Multi-path routing

Systems and methods are described for a connection service that identifies connections for providing a data flow between a client computing device and a target computing device. A client computing device can send an API-based connection request to various servers hosting the connection service. The connection service processes the requests to determine a routing path for the connection. Advantageously, the connection service determines various routing paths and further identifies a connection for the data stream using that routing path. Finally, a control service provides control and relays requests to initiate data flows for resources configured for a data flow (e.g., a remote desktop session).

Connection service with network routing

Examples perform monitoring of multiple-step, concurrently executed workflows across distributed nodes. Requests from an intermediate node are classified by a load balancer as monitoring or non-monitoring. Non-monitoring requests are handled by any node; however, monitoring requests are distributed to all nodes via a plurality of queues but handled only by nodes executing the subject workflow. The load balancer receives reports from any node executing the subject workflow, and passes the first report to the intermediate node.

Scalable monitoring of long running multi-step data intensive workloads

Systems and methods are described for a connection service that identifies routing paths for providing a data flow between a client computing device and a target computing device. A client computing device can send an API-based connection request to various servers hosting the connection service. The connection service processes the requests to determine a routing path for the connection. Advantageously, the connection service selects a routing path from a plurality of available routing paths if a client computing device is associated with a network address translator. The connection service may provide an externally addressable network address if it determines that no such address is available for routing of a data flow.

Techniques for transmitting a digital content stream through a network between a plurality of content servers and a content player. Network performance information for the plurality of content servers is retrieved. Embodiments then determine a mapping of the plurality of content servers to a plurality of portions of a content buffer on the content player, based on the retrieved network performance information. A request is transmitted to each of the plurality of content servers to transmit digital content associated with the corresponding portion of the content buffer.

Multi-CDN digital content streaming

Systems and methods are described for a routing service that identifies routes for providing a resource with the least cost for providing a resource configured for a data flow. The routing service can operate on various servers with varying functionalities in a distributed network topology. After establishing an application-programming interface ('API') session, the routing service can send API-based requests to the various servers to obtain API-based routing information. The routing service can use the routing information to determine that a network performance metric exceeds a threshold for providing a resource on a requested route. Advantageously, the routing service can determine alternative routes using the API routing information and, further, identify the least cost route of those alternative routes. Finally, the routing service can provide a resource configured for a data flow (e.g., a video conference) via the least cost route.

Network routing utilization of application programming interfaces

Techniques for efficient bandwidth estimation are described herein. In some cases, the bandwidth estimation techniques disclosed herein may, for example, calculate bandwidth based on multiple packet groups transmitted at different times. Additionally, in some cases, the bandwidth estimation techniques disclosed herein may, for example, capture cross traffic and its effects on bandwidth. Furthermore, in some cases, the bandwidth estimation techniques disclosed herein may, for example, employ dynamic self-correcting techniques for more reliable estimates.

Efficient bandwidth estimation

Growing community of inventors

Fremont, CA, United States of America

Bin Wang