Google Inc.

Microsoft Technology Licensing, LLC

Brocade Communications Systems, Inc.

Storsimple, Inc.

Gururaj Pangal

Maurilio Cometto

Manoj Sharma

Ilya Beyer

Choudhury Sarada Prasanna Nanda

Ady Degany

Richard Paul Testardi

Vinodh Ravindran

Edward D McClanahan

Urshit Parikh

Michael B Schmitz

Kuriakose George Kulangara

In one embodiment, a system includes first host machines implementing a public-cloud computing environment, wherein at least one of the first host machines includes a resource manager that provides a public-cloud resource interface through which one or more public-cloud clients interact with one or more virtual machines, and second host machines implementing a private-cloud computing environment, wherein at least one of the second host machines includes one or more private-cloud virtual machines, wherein at least one of the first host machines further includes a private-cloud VM resource provider through which the resource manager interacts with the private-cloud virtual machines, wherein the VM resource provider translates requests to perform virtual machine operations from a public-cloud-resource interface to a private-cloud virtual machine interface, and the private-cloud virtual machines perform the requested virtual machine operations in response to receiving the translated requests from the VM resource provider.

Resource manager integration in cloud computing environments

In one embodiment, a system includes first host machines implementing a public-cloud computing environment, wherein at least one of the first host machines comprises a resource manager that provides a public-cloud resource interface through which one or more public-cloud clients interact with one or more virtual machines, and second host machines implementing a private-cloud computing environment, wherein at least one of the second host machines comprises one or more private-cloud virtual machines, wherein at least one of the first host machines further comprises a private-cloud VM resource provider through which the resource manager interacts with the private-cloud virtual machines, wherein the VM resource provider translates requests to perform virtual machine operations from a public-cloud-resource interface to a private-cloud virtual machine interface, and the private-cloud virtual machines perform the requested virtual machine operations in response to receiving the translated requests from the VM resource provider.

In one embodiment, a method includes a method for provisioning private-cloud server nodes by receiving a request to provision a specified number of server nodes for a private cloud, wherein the request is associated with a user, identifying a plurality of server nodes including (a) the specified number of hypervisor server nodes from a first pool that includes prepared hypervisor server nodes, each of which includes a previously-installed hypervisor, and (b) a management server node from a second pool that includes prepared management server nodes, each of which includes a previously-installed hypervisor and one or more previously-installed management components, configuring the identified server nodes to use a network associated with the user, creating a private cloud that includes the identified server nodes, and providing, to the user, permission to access the identified server nodes.

Fast provisioning in cloud computing environments

Setting up and supporting the computer infrastructure for a remote satellite office is a difficult task for any information technology department. To simplify the task, an integrated server system with a hierarchical storage system is proposed. The hierarchical storage system includes the ability to store data at an off-site cloud storage service. The server system is remotely configurable and thus allows the server to be configured and populated with data from a remote location.

System and methods for implementing a server-based hierarchical mass storage system

In one embodiment, a method includes a method for provisioning private-cloud server nodes by receiving a request to provision a specified number of server nodes for a private cloud, wherein the request is associated with a user, identifying a plurality of server nodes including (a) the specified number of hypervisor server nodes from a first pool that comprises prepared hypervisor server nodes, each of which comprises a previously-installed hypervisor, and (b) a management server node from a second pool that comprises prepared management server nodes, each of which comprises a previously-installed hypervisor and one or more previously-installed management components, configuring the identified server nodes to use a network associated with the user, creating a private cloud that includes the identified server nodes, and providing, to the user, permission to access the identified server nodes.

Data back-ups are a critical task of any information technology department. Data back-ups are typically performed using some type of back-up tape systems. Internet based data storage systems now offer data storage services at low prices. To take advantage of such services, a system and method for efficiently back-up data volumes is disclosed. The data back-up system divides data volumes into fingerprinted data slices. Redundant data slices are then removed. Unique fingerprinted data slices are then copied to an internet based storage provider.

System and method for efficiently creating off-site data volume back-ups

A system including a storage processing device with an input/output module. The input/output module has port processors to receive and transmit network traffic. The input/output module also has a switch connecting the port processors. Each port processor categorizes the network traffic as fast path network traffic or control path network traffic. The switch routes fast path network traffic from an ingress port processor to a specified egress port processor. The storage processing device also includes a control module to process the control path network traffic received from the ingress port processor. The control module routes processed control path network traffic to the switch for routing to a defined egress port processor. The control module is connected to the input/output module. The input/output module and the control module are configured to interactively support data virtualization, data migration, data journaling, and snapshotting. The distributed control and fast path processors achieve scaling of storage network software. The storage processors provide line-speed processing of storage data using a rich set of storage-optimized hardware acceleration engines. The multi-protocol switching fabric provides a low-latency, protocol-neutral interconnect that integrally links all components with any-to-any non-blocking throughput.

Growing community of inventors

Pleasanton, CA, United States of America

Gururaj Pangal