Amazon Technologies, Inc.

Hewlett Packard Enterprise Development LP

Abhijit Chaudhuri

Visakh Sakthidharan Nair

Rahul Kamalkishore Agrawal

Mahesh Dhabade

Vivek Yadav

Vikram Krishnamurthy

Ameya Shrinivas Sakhalkar

Shashank Vilas Likhite

Vinesh Reddy Sunku

Vijay Ram Sevagapandian

Saravana Perumal

Preeti Gupta

Nagaprasad K P

Sonia Goyal

Pankaj Chawla

A write lock request for a data object on behalf of a first data accessor is received at a lock manager. The data object is currently locked on behalf of a second data accessor. The lock manager modifies lock metadata associated with the data object to indicate the first data accessor as the primary lock owner, and designates the second data accessor as a non-primary owner.

Customizable lock management for distributed resources

Methods, systems, and computer-readable media for live migration for highly available data stores are disclosed. Migration of a data set from a first data store to a second data store is initiated and comprises a backfill of records to the second data store. During a window of time before the migration is complete, a read request for a first record is received. A response representing an authoritative version of the first record is generated using a copy of the first record in the first data store and a copy of the first record in the second data store. A write request for a second record is received during the window of time. A lock is acquired for the second record, and the write request is performed using a copy of the second record in the first data store and a copy of the second record in the second data store.

Live migration for highly available data stores

A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized. Further, the analysis engine may provide the over-allocation metric, the available space metric, and the time value to a capacity planning unit for storage space management in the virtual environment.

Storage space management in a thin provisioned virtual environment

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Bengaluru, India

Abhijit Chaudhuri