Nutanix, Inc.

Gowtham Alluri

Karan Gupta

Dheer Moghe

Roger Sean Liao

Anshul Nirmalendu Purohit

Rishi Bhardwaj

Pavan Kumar Konka

Amod Vilas Jaltade

Arth Patel

Ajay Raghavan

Anoop Reddy

Ajaykrishna Raghavan

Mayur Vijay Sadavarte

Naveen Reddy Gundlagutta

Rajkumar Arunkumar Joshi

Rajesh Aavuty

Chinmay Dinesh Kamat

Ravishankar Chandhiramoorthi

Biswaranjan Panda

An illustrative embodiment disclosed herein is an apparatus including a processor with programmed instructions to receive a request to process storage data using a compute application, determine that a first location of the storage data is in a first storage resource in a first cluster of compute, storage, and network resources, determine that a second location of the compute application is in a first compute resource of a second cluster of compute, storage, and network resources, determine whether the first cluster includes a second compute resource that is compatible with the compute application, and respectively, either, based on a first compatibility determination, migrate the compute application from the first compute resource to the second compute resource, or, based on a second compatibility determination, replicate the storage data from the first storage resource to a second storage resource in the second cluster.

System and method for hyperconvergence at the datacenter

An illustrative embodiment disclosed herein is an apparatus including a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to store a first object and a second object in a first region based on the first object and the second object having a first policy. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to store a third object in a second region based on the third object having a second policy. In some embodiments, a virtual disk includes the first region and the second region.

System and method for mapping objects to regions

An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to maintain an object store including a primary cluster having one or more compute resources and one or more first storage resources, identify a secondary cluster having one or more second storage resources, select the secondary cluster to be added to the object store, allocate an available portion of the one or more second storage resources to the object store, and shard an object across the one or more second storage resources and the available portion of the one or more second storage resources.

System and method for multi-cluster storage

Systems for low-latency data access in distributed computing systems. A method embodiment commences upon generating a first storage area in local storage of a first computing node. Access to the first storage area is provided through the first computing node. A second storage area is generated wherein the second storage area comprises a first set of metadata that comprises local storage device locations of at least some of the local storage areas of the first storage area. A set of physical access locations of the second storage area is stored to a database that manages updates to the second set of metadata pertaining to the second storage area. Accesses to the first storage area are accomplished by querying the database to retrieve a location of the second set of metadata, and then accessing the first storage area through one or more additional levels of metadata that are node-wise collocated.

Low latency access to physical storage locations by implementing multiple levels of metadata

An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to detect an operation associated with a first object instance in a first cluster, determine that the first object instance is configured for replication to a second cluster, create an object information (info) metadata entry for the first object instance, create an object replication metadata entry for the first object instance, and simultaneously write the object info metadata entry and the object replication metadata entry to a first data structure and a second data structure, respectively.

System and method for near-synchronous replication for object store

An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to map a plurality of objects to a region and map the region to a plurality of vdisks. The plurality of objects are stored in the plurality of vdisks. The processor has programmed instructions to, responsive to mapping the plurality of objects to the region, identify a policy associated with the region. The policy specifies a policy action in response to satisfying a predetermined condition. The processor has programmed instructions to, responsive to satisfying the predetermined condition, access the plurality of vdisks and perform the policy action on the plurality of objects.

Systems for low-latency data access in distributed computing systems. A method embodiment commences upon generating a first storage area in local storage of a first computing node. Access to the first storage area is provided through the first computing node. A second storage area is generated wherein the second storage area comprises a first set of metadata that comprises local storage device locations of at least some of the local storage areas of the first storage area. A set of physical access locations of the second storage area is stored to a database that manages updates to the second set of metadata pertaining to the second storage area. Accesses to the first storage area are accomplished by querying the database retrieve a location of the second set of metadata, and then accessing the first storage area through one or more additional levels of metadata that are node-wise collocated.

Growing community of inventors

San Jose, CA, United States of America

Gowtham Alluri