Nutanix, Inc.

Timothy Sujay Isaacs

Karan Gupta

Parthasarathy Ramachandran

Amit Jain

Ajaykrishna Raghavan

Varun Kumar Arora

Dmitri Bronnikov

Minghui Yang

Jaya Singhvi

Kilol Surjan

Peihong Huang

Hinal Gala

A data storage site receives data from different data producer sites. Each of the data producer sites has a particular relationship to the data storage site, and each particular relationship carries corresponding data storage policies, constraints and commitments. When a data storage site receives a data storage request from a data producer, and that particular data is already present from a prior storage operation at the data storage site, the characteristics of the policies, constraints and commitments that were applied when that data was saved by the prior storage operation are reconciled with the policies, constraints and commitments of the requesting data producer. Deduplication logic reconciles different sets of policies, constraints and commitments such that the data can be effectively deduplicated by saving data-producer-specific metadata. Alternatively, the data can be effectively deduplicated by promoting the storage of the data so it covers a broader set of policies, constraints and commitments.

Policy-based data deduplication

Dynamic erasure coding for computing and data storage systems. A method embodiment commences upon accessing a set of fault tolerance policy attributes associated with the computing and data storage system. The topology of the system is analyzed to form mappings between the computing nodes of the system and the availability domains of the system. Based on the fault tolerance policy attributes, the topology, and the generated mapping, a plurality of feasible erasure coding configurations are generated. The feasible erasure coding configurations are scored. One or more high-scoring feasible erasure coding configurations are selected and deployed to the computing and data storage system. The method is repeated when there is a change in the fault tolerance policy attributes or in the topology. Depending on the topology and/or the nature of a change in the topology, more than one erasure coding configurations can be deployed onto the computing and data storage system.

Dynamic erasure coding

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San Jose, CA, United States of America

Timothy Sujay Isaacs