Juniper Networks, Inc.

Fungible, Inc.

Microsoft Technology Licensing, LLC

Xerox Corporation

Sun Microsystems, Inc.

Other

Pradeep S Sindhu

Jean-Marc Frailong

Dennis C Ferguson

Jayabharat Boddu

Deepak Goel

Srihari Raju Vegesna

Avanindra Godbole

Gunes Aybay

Debashis Basu

Hann-Hwan Ju

Sreeram Veeragandham

Anjan Venkatramani

Raymond Marcelino Manese Lim

Wael Noureddine

Rasoul Mirzazadeh Oskouy

James Michael Murphy

Abhijit Kumar Choudhury

Philip A Thomas

Ayaskant Pani

Gerald Cheung

Bjorn O Liencres

Quaizar Vohra

Rajiv N Patel

Narendra Jayawant Gathoo

Bertrand Serlet

Nalini Agarwal

Kireeti Kompella

Philippe Lacroute

Raghavendra Mallya

Pranay Pogde

Pankaj Patel

Phalguni Nanda

Gopesh Goyal

Rami Rahim

Chang-Hong Wu

Robert William Bowdidge

Jeff Zimmer

Rajan Goyal

Jeffrey Glenn Libby

David James Ofelt

Raymond Lim

Felix A Marti

Sarin Thomas

Ramalingam Krishnamurthi Anand

Sunil Mekad

Theodore John Schmidt

Christian Malouin

Roberto Marcoccia

Stefan Alexander Dyckerhoff

John David Huber

Ashok Krishnamurthi

Matthew A Tucker

Aibing Zhou

John D Weisbloom

David B Winters

Michael M Y Hui

Nischal Sheth

Chi-Chung Kenny Chen

Rohit Sunkam Ramanujam

George R Sosnowski

Satish Dattatray Deo

David Skinner

Jaspal Kohli

Paul Kim

Ina Minei

Tatao Chuang

Saurin Patel

Shashi Kumar

Valery Kugel

Phillip A Thomas

John Keen

Michel P Cekleov

Jorge Cruz-Rios

Jaya Bandyopadhyay

Thomas Michael Skibo

Rajesh Nair

Jean A Gastinel

Venkateswarlu Talapaneni

Edwin Su

Doron Kletter

Donald James Curry

David M Katz

Anurag P Gupta

Asghar Nafarieh

Sankar Ramamoorthi

Song Zhang

Kannan Varadhan

Norman M Hayes

Jeffrey H Hoel

Michael L Powell

Eric H Jensen

Chih-Wei Chao

Keith Hocker

Ramesh Padmanabhan

Yixing Ruan

Jean Marc Frailong

Eric M Verwillow

Phil Lacroute

David Weinberg

Bhavesh Patel

This disclosure describes a set of techniques that include establishing and managing quality of service standards across storage cluster resources in a data center. In one example, this disclosure describes a method that includes establishing a quality of service standard for a tenant sharing a storage resource with a plurality of tenants, wherein the storage resource is provided by the plurality of storage nodes in the storage cluster; allocating a volume of storage within the storage cluster, wherein allocating the volume of storage includes identifying a set of storage nodes to provide the storage resource for the volume of storage, and wherein the set of storage nodes are a subset of the plurality of storage nodes; and scheduling operations to be performed by the set of storage nodes for the volume of storage.

Predictable and adaptive quality of service for storage

A new processing architecture is described that utilizes a data processing unit (DPU). Unlike conventional compute models that are centered around a central processing unit (CPU), the DPU that is designed for a data-centric computing model in which the data processing tasks are centered around the DPU. The DPU may be viewed as a highly programmable, high-performance I/O and data-processing hub designed to aggregate and process network and storage I/O to and from other devices. The DPU comprises a network interface to connect to a network, one or more host interfaces to connect to one or more application processors or storage devices, and a multi-core processor with two or more processing cores executing a run-to-completion data plane operating system and one or more processing cores executing a multi-tasking control plane operating system. The data plane operating system is configured to support software functions for performing the data processing tasks.

Data processing unit for stream processing

A fabric control protocol (FCP) is a data transmission protocol that enables spraying of individual packets for a given packet flow across a data center from an ingress interface of the source data processing unit (DPU) across a plurality of parallel data paths of a logical tunnel in the network fabric to the egress interface of the destination DPU. The FCP has congestion control mechanisms used to determine a degree of congestion at the egress interface of the destination DPU and to modify a send window size at the source DPU based on the degree of congestion. Reliable FCP (rFCP) extensions provide reliability enhancements and improved failure resilience within the data center. The rFCP extensions provide an unsolicited mode for low latency operation with enhanced reliability mechanisms. The rFCP extensions provide failure resilience mechanisms to identify and avoid failed paths among multiple parallel data paths within the logical tunnel.

Reliable fabric control protocol extensions for data center networks with failure resilience

A fabric control protocol (FCP) and packet forwarding mechanisms are described that maximize utilization of bandwidth within massive, large-scale data centers having multi-stage data center switch fabric topologies, such as topologies that include a third switching layer formed by super spine switches. Automatic generation of data plane forwarding information referred to as FCP path information enumerates, for each data processing unit (DPU), the available FCP paths. The FCP path information may be based on unique combinations of peak points of the switch fabric for a given DPU with FCP colors assigned to network links that are used to multi-home the DPU to the switch fabric.

Fabric control protocol for large-scale multi-stage data center networks

Fabric control protocol with congestion control for data center networks

A fabric control protocol is described for use within a data center in which a switch fabric provides full mesh interconnectivity such that any of the servers may communicate packet data for a given packet flow to any other of the servers using any of a number of parallel data paths within the data center switch fabric. The fabric control protocol enables spraying of individual packets for a given packet flow across some or all of the multiple parallel data paths in the data center switch fabric and, optionally, reordering of the packets for delivery to the destination. The fabric control protocol may provide end-to-end bandwidth scaling and flow fairness within a single tunnel based on endpoint-controlled requests and grants for flows. In some examples, the fabric control protocol packet structure is carried over an underlying protocol, such as the User Datagram Protocol (UDP).

Fabric control protocol for data center networks with packet spraying over multiple alternate data paths

Reliable fabric control protocol extensions for data center networks with unsolicited packet spraying over multiple alternate data paths

Techniques for detecting path failures and reducing packet loss as a result of such failures are described for use within a data center or other environment. For example, a source and/or destination access node may create and/or maintain information about health and/or connectivity for a plurality of ports or paths between the source and destination device and core switches. The source access node may spray packets over a number of paths between the source access node and the destination access node. The source access node may use the information about connectivity for the paths between the source or destination access nodes and the core switches to limit the paths over which packets are sprayed. The source access node may spray packets over paths between the source access node and the destination access node that are identified as healthy, while avoiding paths that have been identified as failed.

Resilient network communication using selective multipath packet flow spraying

A network system for a data center is described in which an access node sprays a data flow of packets over a logical tunnel to another access node. In one example, a method comprises establishing, by a plurality of access nodes, a logical tunnel over a plurality of data paths across a switch fabric between a source access node and a destination access node included within the plurality of access nodes, wherein the source access node is coupled to a source network device; and spraying, by the source access node, a data flow of packets over the logical tunnel to the destination access node, wherein the source access node receives the data flow of packets from the source network device, and wherein spraying the data flow of packets includes directing each of the packets within the data flow to a least loaded data path.

Data center network with packet spraying

A network system for a data center. In one example, a method comprises establishing, by a plurality of access nodes, a logical tunnel over a plurality of data paths across a switch fabric between a source access node and a destination access node included within the plurality of access nodes, wherein the source access node is coupled to a source network device; and spraying, by the source access node, a data flow of packets over the logical tunnel to the destination access node, wherein the source access node receives the data flow of packets from the source network device, and wherein spraying the data flow of packets includes directing each of the packets within the data flow to one of the data paths based on an amount of data previously transmitted on each of the plurality of data paths.

This disclosure describes techniques for providing early acknowledgments to a source device performing a data write operation within a data center or across a geographically-distributed data center. In one example, this disclosure describes a method that includes receiving, by a gateway device and from a source device within a local data center, data to be stored at a remote destination device that is located within a remote data center; storing, by the gateway device, the data to high-speed memory included within the gateway device; transmitting, by the gateway device, the data over a connection to the remote data center; after transmitting the data and before the data is stored at the remote destination device, outputting, by the gateway device to the source device, a local acknowledgment, wherein the local acknowledgment indicates to the source device that the data can be assumed to have been stored at the remote destination device.

Early acknowledgment for write operations

This disclosure describes techniques for performing communications between devices using various aspects of Ethernet standards. As further described herein, a protocol is disclosed that may be used for communications between devices, where the communications take place over a physical connection complying with Ethernet standards. Such a protocol may enable reliable and in-order delivery of frames between devices, while following Ethernet physical layer rules, Ethernet symbol encoding, Ethernet lane alignment, and/or Ethernet frame formats.

Reliable communications using a point to point protocol

In one embodiment, edge devices can be configured to be coupled to a multi-stage switch fabric and peripheral processing devices. The edge devices and the multi-stage switch fabric can collectively define a single logical entity. A first edge device from the edge devices can be configured to be coupled to a first peripheral processing device from the peripheral processing devices. The second edge device from the edge devices can be configured to be coupled to a second peripheral processing device from the peripheral processing devices. The first edge device can be configured such that virtual resources including a first virtual resource can be defined at the first peripheral processing device. A network management module coupled to the edge devices and configured to provision the virtual resources such that the first virtual resource can be migrated from the first peripheral processing device to the second peripheral processing device.

Methods and apparatus related to a flexible data center security architecture

This disclosure describes techniques that include implementing network-efficient data durability or data reliability coding on a network. In one example, this disclosure describes a method that includes generating a plurality of data fragments from data to enable reconstruction of the data from a subset of the plurality of data fragments; storing, across a plurality of nodes in a network, the plurality of data fragments, wherein storing the plurality of data fragments includes storing the first fragment at a first node and the second fragment at a second node; and generating, by the first node, a plurality of secondary fragments derived from the first fragment to enable reconstruction of the first fragment from a subset of the plurality of secondary fragments; and storing the plurality of secondary fragments from the first fragment across a plurality of storage devices included within the first node.

Reliability coding with reduced network traffic

Growing community of inventors

Mountain View, CA, United States of America

Pradeep S Sindhu