Network Appliance, Inc.

Netapp, Inc.

Vmware, Inc.

Konstantinos Roussos

Jason Ansel Lango

Robert Tsai

J Christopher Wagner

Christopher Wagner

Zdenko Kukavica

Robert M English

Ram Kesavan

Sandeep Yadav

Derek William Beard

Mark Russell Johnson

Maarten Wiggers

Zachary James Shepherd

George Gregory Hicken

Alkesh Shah

Jeffrey Dale Merrick

Leonid Livshin

Robert Lieh-Yuan Tsai

Yasuhiro Endo

Jared Sean Rosoff

Vani Bappanadu

Kumaravel Thillai

Cheng Cheng

Joseph Stephen Beda

Atul Bhalodia

Anupama Kirpekar

Adrian Drzewiecki

Shankar Balasubramanian

Olivier Alain Cremel

Brian M Hackworth

Vasantha Sadananda Prabhu

James J Voll

Brian M Oki

Ramsés V Morales

Ritesh Tiwari

James Hartwell Holl, Ii

Boris Teterin

Rushi Srinivas Surla

Gaurab Paul

Peter Logan Smoot

Neelesh M Thakur

K Uday Kishore

Anshu Surana

Anawat Chankhunthod

John Charles Tyrrell

Yasahiro Endo

James Holl

An example method of data protection in a virtualized computing system, the virtualized computing system including a host cluster, a virtualization management server connected, and a network manager coupled to a physical network, the host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, is described. The method includes: receiving a backup request; executing, in response to the backup request, a coupled backup of the virtualization management server and the network manager, including: creating a backup of a first database in the virtualization management server, the first database storing first configuration data for a virtual infrastructure (VI) control plane of the host cluster; creating a backup of a second database in the network manager, the second database storing second configuration data for a logical network deployed in the host cluster; and storing the coupled backup in remote storage.

Data protection for control planes in a virtualized computer system

An example method of deploying a virtual machine (VM) in a software-defined data center (SDDC) includes: receiving a VM specification for the VM at an elastic control plane executing in a cluster of hosts having a virtualization layer; composing, by the elastic control plane in response to the VM specification, logical resources of the cluster managed by the virtualization layer; composing, by the elastic control plane, physical resources of the SDDC to add new hardware to the cluster; expanding, by the elastic control plane, the logical resources with new logical resources managed by the virtualization layer and backed by the new hardware; and deploying, by the elastic control plane, the VM in a virtual environment composed from the logical resources as expanded.

Deploying virtual machines in a software-defined data center

An example virtualized computing system includes: a host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, the virtualization layer supporting execution of virtual machines (VMs); an orchestration control plane integrated with the virtualization layer, the orchestration control plane including a master server executing in a first VM of the VMs; guest cluster infrastructure software (GCIS) executing in the master server, the GCIS configured to create a set of objects defining a container orchestration cluster, and manage lifecycles of second VMs of the VMs based on state of the set of objects; and guest software executing in the second VMs to implement the container orchestration cluster as a guest cluster of the host cluster, the guest software having components that interface with the GCIS.

Guest cluster deployed as virtual extension of management cluster in a virtualized computing system

Examples described herein include systems and methods for backing up and recovering a software-defined data center ('SDDC'). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Recovery of a software-defined data center from persistent entity stores for virtual machines

Recovery of a software-defined data center

A system and method integrates namespace management and storage management in a storage system environment. According to the invention, an integrated management framework provides an underlying infrastructure that supports various heterogenous storage access protocols within a single, logical namespace service. The logical namespace service is based on extensions to underlying storage management processes that cooperate to create the integrated management framework. Notably, these extensions are embodied as novel library functionality.

System and method for integrating namespace management and storage management in a storage system environment

According to one or more of the provisions set forth herein, data can be managed in a data storage system in an efficient manner. In one example, a first flexible copy volume of data is generated based on a snapshot copy volume of a flexible volume containing the data. The first flexible copy volume is configured to be operated upon according to a first set of operations. A second flexible copy of the data is also generated based on the snapshot copy volume. The second flexible copy volume is configured to be operated upon according to a second set of operations that differs from the first set of operations. Having a second copy of the data allows testing or other operations to be performed on the data while also maintaining an original version of the data.

Flexible copies having different sub-types

A system and method for implementing storage management with threshold control is provided. A flexible storage manager associates storage devices having a similar performance characteristic into logical constructs called storage groups. Storage groups having the same performance characteristic from a plurality of storage systems are organized into storage pools. The flexible storage manager automatically provisions storage on a storage pool basis. Should a low threshold utilization be exceeded, the flexible storage manager performs a set of management policies to lower the utilization of a storage pool to the low threshold.

System and method for implementing a flexible storage manager with threshold control

Centralized management of both host-side storage objects on multiple heterogeneous host-side servers and logical data containers on a storage system is performed by a management server. In one embodiment, the management server automatically provisions a logical data container on the storage server according to the storage virtualization strategy without administrator interaction at the storage system. In another embodiment, the management server automatically performs a snapshot operation on logical data containers on the storage system according to the storage virtualization strategy without administrator interaction at the storage system. In another embodiment, the management server centrally monitors for out-of-space events in the storage system and automatically correlates the out-of-space events in the storage system to out-of-space events for the host-side file systems.

Centralized storage management for multiple heterogeneous host-side servers

A method for executing uniprocessor (UP) coded workloads in a computer capable of concurrent thread execution is disclosed. The method identifies threads in the uniprocessor coded workloads (UP-workloads) which can execute concurrently, and identifies threads in the UP-workloads which cannot execute concurrently. First threads which cannot execute concurrently are assigned to a first concurrency group. Second threads which cannot execute concurrently are assigned to a second concurrency group. Any thread in the first concurrency group can execute concurrently with any thread in the second concurrency group. The computer capable of concurrent thread execution then executes the UP-coded workloads in the first concurrency group at substantially the same time as executing the UP-coded workloads in the second concurrency group.

Technique for dynamically restricting thread concurrency without rewriting thread code

Embodiments of the present invention provide a technique for automatically constructing a replica catalog providing information otherwise unavailable due to a loss of or failure with the registry file for maintaining protection relationship information of primary and secondary storage objects by extracting storage object settings from an encoded attribute of the secondary storage object. An administrator provides protection relationship information for the primary and secondary storage objects at a remote computer system (e.g., protection manager), which may be automatically encoded in an attribute of the secondary storage object and stored in a replica catalog at the protection manager. A secondary storage server constructs the secondary storage object using the encoded attribute and stores data replicated from the primary storage object. If the replica catalog is lost, the replica catalog may be automatically reconstructed by retrieving the encoded attribute and extracting the protection relationship information from the encoded attribute.

Method and system for automatically constructing a replica catalog for maintaining protection relationship information between primary and secondary storage objects in a network storage system

The present invention provides a streaming media cache configured to select a timing interval, chosen from a set of one or more predetermined timing intervals, for each client that requests a data stream from the streaming media cache. Illustratively, clients requesting data streams below a predetermined bit rate ('bandwidth') are assigned longer timing intervals than clients requesting data streams above the predetermined bit rate. More specifically, because the server can accommodate a larger number of relatively low-bandwidth clients than relatively high-bandwidth clients, the server selects timing intervals of longer duration for the relatively low-bandwidth clients so it may have more time to schedule send times for their requested packets.

Adaptively selecting timeouts for streaming media

A method for reducing output traffic bursts in a streaming media cache includes receiving a request from a first client system for a stream of media data, the stream of media data including a first streaming media data packet and a second streaming media data packet, receiving a request from a second client system for the stream of media data, receiving the first streaming media data packet from an upstream server, the first streaming media data packet including a delivery time, determining a first modified delivery time for the first streaming media data packet, determining a second modified delivery time for the first streaming media data packet, the first modified delivery time different from the second modified delivery time, modifying the first streaming media data packet with the first modified delivery time to form a first modified first streaming media data packet, modifying the first streaming media data packet with the second modified delivery time to form a second modified first streaming media data packet, outputting the first modified first streaming media data packet to the first client system at the first modified delivery time, and outputting the second modified first streaming media data packet to the second client system at the second modified delivery time.

Methods and apparatus for reducing streaming media data traffic bursts

Growing community of inventors

Sunnyvale, CA, United States of America

Konstantinos Roussos