International Business Machines Corporation

Paul Lawrence Bradshaw

Gregory John Tevis

Daniel Graham Douglas

Douglas Paul Dunham

David W Groves

Nancy Lott Hobbs

Vincent Jomartin Hoang

Valentina Salapura

David Maxwell Cannon

Divyesh Jadav

Nagapramod S Mandagere

Richard Edwin Harper

Duane Mark Baldwin

Aameek Singh

Michael Allen Kaczmarski

Robert Michael Rees

David Lynn Merbach

Wayne Curtis Hineman

Michael L Lamb

William Roy Yonker

Allen Robert Heitman

Raymond M Swank

Gregory John Knight

Mirza S Baig

Bryan S Langston

Tina Lynn Dunton

Brian Augustine Delaire

Vinh-Thuan Nguyen-Phuc

Lisa Anne Huston

Ophelia K Yip

Alireza Razzaghi Daryan

Louis Leo Lorber

Barbara J Camacho

Roman David Druker

His Tai (Steve) Hsu

Ngoc V Nguyen

Ron H Clark

Amir Nakhforoush

Generating secondary virtual machine seed image storage is provided. An input is received to deploy a primary virtual machine and a secondary virtual machine based on a golden virtual machine image. In response, the primary virtual machine from the golden virtual machine image on a primary data processing site and the secondary virtual machine from the golden virtual machine image on a secondary data processing site are deployed. Execution of the secondary virtual machine is suspended on the secondary data processing site. Using the golden virtual machine image, a seed image corresponding to the secondary virtual machine is generated that is up-to-date at that point in time in storage at the secondary data processing site to form the secondary virtual machine seed image storage. The secondary virtual machine seed image storage is enabled to receive state data updates from the primary virtual machine on the primary data processing site.

Virtual machine seed image replication through parallel deployment

One embodiment provides a method, including: generating, for each of a plurality of storage volumes, an actual used storage capacity model and identifying a potential storage capacity savings using the actual used capacity model, wherein each of the plurality of storage volumes has been identified as a candidate for migration to a thin provisioned volume; generating, for each of the plurality of storage volumes, an input/output profile model and identifying a potential change in performance of an application accessing the storage volume using the input/output profile model; generating, for each of the plurality of storage volumes, a growth profile and identifying a potential change in capacity using the growth profile; and determining, using an optimization algorithm, a subset of the plurality of storage volumes to be migrated to thin provisioned volumes based upon the volume capacity model, the performance model, and the volume growth profile.

Identification of volumes for thin provisioning

Novel storage area networks (SANs) and methods of operation thereof utilize a plurality of hosts coupled via an interconnect with one or more storage units. A manager device, process or other functionality in communication with a plurality of agent processes, devices or other functionality, each of which is associated with a host. The agents identify attributes of (i) their associated hosts, (ii) interconnect to which that host is coupled, and/or (iii) storage units to which that host is coupled via the interconnect. The manager responds to these attributes identified by the agents to manage the SAN. The manager can be implemented on a first digital data processor and the hosts on further digital data processors. These digital data processors can be coupled via a first network, e.g., an IP or other network, to support communications between the manager and the agents. A second network, e.g., SCSI and/or fiber channel based fabric, separate from the first network, can be utilized as the interconnect between the hosts and the storage devices.

Storage area network methods and apparatus with centralized management

A storage area network (SAN) includes a plurality of digital data processors, each with a file system that effects access to one or more storage devices coupled to the SAN, for example, via an interconnect fabric. A process (e.g., executing on a manager digital data processor) responds to a file system over-extension notification from at least a selected one of the digital data processors, e.g., by assigning a further storage device to the selected digital data processor. The type of response is, more particularly, determined in accord with a hierarchically defined policy inherited, in whole or in part, from one or more hierarchical groups of which the digital data processor is a member.

Storage area network methods and apparatus with hierarchical file system extension policy

Digital data objects containing unused space are reconfigured to facilitate more efficient compression of the data objects. First, a determination is made whether the data object contains regions of unused storage space. Such space may represent deleted files, corrupted data, expired data, etc. If regions of unused storage space exist, they are replaced with a predetermined bit pattern. This bit pattern is specifically chosen so that, if provided as input to a predetermined digital data compression process, it would be compressed with a predetermined predicted compression efficiency. For example, the bit pattern may comprise a repeating sequence of binary zeros, which is optimally compressed by most known compression processes. After reconfiguration of the data object, the data object may be provided as input to the compression process and compressed.

Reconfiguration an aggregate file including delete-file space for

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Santa Cruz, CA, United States of America

Paul Lawrence Bradshaw