Emc IP Holding Company LLC

Kimberly R Lu

Philip N Shilane

Joseph S Brandt

Nicholas A Noto

Tipper Truong

Mariah Arevalo

Abhinav Duggal

Atul Avinash Karmarkar

Venkata Ravi Chandra Bandlamudi

A method includes receiving an object from a client as part of a data ingestion process, by a masker worker, generating a list that identifies one or more byte ranges, of the object, to be masked, providing the list to an object access microservice, by the object access microservice, creating an object recipe of the object, and the object recipe includes one or more slices, and each of the slices includes one or more segments of data, masking only those segments of a slice that are in a byte range identified in the list, creating a masked slice that comprises the masked segments, and creating a masked object recipe that contains a reference to the masked slice, and the masking is performed before the object is stored in storage, creating a masked object that includes the masked slice, and deduplicating the masked object.

Data masking in a microservice architecture

Systems and methods for cleaning a storage system. A deduplicated storage system is cleaned by identifying structures that include dead or unreferenced segments. This includes processing recipes to identify the segments that are no longer part of a live object recipe. Then, the dead segments are removed. This is accomplished by copying forward the live segments and then deleting, as a whole, the structure that included the dead segments.

Scalable garbage collection for deduplicated storage

A method includes retrieving, with a masker controller job, an object and an associated object ID from a masking bucket that is defined in storage, making a copy of the object, with a masker worker microservice, masking the copy of the object to create a masked object, transmitting the masked object to an object access microservice, with the object access microservice, transmitting the masked object to a deduplication microservice, with the deduplication microservice, deduplicating the masked object, and storing the masked object in the storage.

Efficient data transfer is disclosed. A server provides an endpoint for a client. The client can communicate with a cloud storage system through the server rather than connect directly to the cloud storage system. The server is configured to perform requests in a manner that reduces the amount of data transferred to and from the cloud storage system.

Efficient transfer to and from a deduplicated cloud storage system

A method includes receiving an object from a client as part of a data ingestion process, directing the object to an object access microservice, providing a copy of the object to a masker worker microservice, masking the copy of the object to create a masked object, and the masking of the copy of the object is performed inline prior to storage of the object, deduplicating the object, and storing the masked object and the object in storage.

Disclosed is a system for storage management comprising: receiving capacity information within a predetermined time period from a plurality of storage in a first appliance pool and a second appliance pool, each having a plurality of storage systems; tracking a first capacity limit of the first storage system in the first appliance pool based on the capacity information; performing a first capacity prediction of the first storage system based on the tacked result of the first storage system, wherein the first capacity prediction indicating when the first storage system will be out of space based on the capacity information and the tracked result; generating a first recommendation indicating when an extra capacity of the first storage system should be added based on one or more attributes including the first capacity prediction; and presenting the first recommendation with one or more options.

Method and systems for recommending storage management actions based on capacities of storage systems

A method includes retrieving an object from storage and copying the object, generating a list that identifies one or more byte ranges, of the copy of the object, to be masked, providing the list to a masker controller microservice that examines a recipe corresponding to the copy of the object, where the recipe references a slice of the copy of the object, and the slice includes one or more data segments, masking, by the masker controller microservice, a segment of the slice that is in one of the byte ranges, to create a masked segment, and replacing, in the slice, the segment with the masked segment, to create a masked slice and creating a masked object recipe that contains a reference to the masked slice, creating a masked object that includes the masked slice, and that references any unmasked segments of the slice, and deduplicating the masked object.

Systems and methods enabling garbage collection operations and normal system operations concurrently. Concurrent operations are performed by configuring a similarity group to permit garbage collection and normal operations. This may include creating a new subgroup in a similarity group for write and deduplication purposes such that an impacted subgroup can be cleaned.

Concurrently performing normal system operations and garbage collection

Described is a system for a providing a service (or microservice) for performing deduplication for an object storage. The service (or microservice) may be source-agnostic in that it may receive data from multiple types of source systems by providing a uniform set of functions for deduplicating and writing the data to a destination object storage. The set of functions encapsulate a previously dispersed set of functionality provided by various components. Accordingly, the service provides a single scalable and stateless component for performing deduplication. For example, the service (e.g. deduplication service) may receive object related information and perform a filtering to accelerate network transfers. Accordingly, the service provides the ability to only transfer and write data that does not already exist on the object storage.

Source-agnostic service for performing deduplication for an object storage

Systems and methods for marking similarity groups impacted by a garbage collection operation are disclosed. Similarity groups are used to identify segments associated with objects in a computing system. Using deletion records that identify objects to be deleted, the similarity groups impacted by the deletion records can be identified. The live segments associated with the impacted similarity groups are also identified. This allows segments that are associated with the deleted objects and that are not associated with any live objects to be removed.

Growing community of inventors

Sunnyvale, CA, United States of America

Kimberly R Lu