International Business Machines Corporation

Ran Harel

Amalia Avraham

Ohad Atia

Rivka Mayraz Matosevich

Alon Marx

Daniel Isaac Goodman

Shay Berman

Orit Nissan-Messing

Yossi Siles

Eliyahu Weissbrem

Oren S Li-On

Erez Alexander Theodorou

Miron Aloni

Samuel Krikler

Isaac Beckman

Olga Shtivelman

Amelia Avraham

Polina Abram

Methods, computing systems and computer program products implement embodiments of the present invention that include defining multiple storage capabilities for a set of storage resources in multiple storage systems, the storage resources including storage space, and identifying two of the storage systems including one or more storage capabilities required by a first logical volume. A first given identified storage system is configured to store the first logical volume, and a second given identified storage system is configured to store a second logical volume, the second given storage system different from the first given storage system. Upon storing data to the first logical volume, the data can be mirrored to the second logical volume. In some embodiments, a software defined storage system can be configured including defined services, wherein the first given storage system includes a first given service, and wherein the second given storage system includes a second given service.

Storage mirroring decision by capability sets

Embodiments for volume management in a data storage environment. A network sniffing operation between virtual machines is performed to detect relationships between the virtual machines and thereby identify candidates for subsequent storage volume affiliation operations. The network sniffing operation detects the relationships based on network traffic or alternative similarity attributes of an existing placement of the virtual machines thereby deducing affiliations of storage volumes between the virtual machines such that, during the storage volume affiliation operations, the existing placement of the virtual machines is not modified. The identified candidates to be added to a new or existing storage volume affiliation operation are recommended to a user via a prompt.

Volume management by virtual machine affiliation auto-detection

Embodiments of the present invention provide methods and systems for calculating capacity allocation in storage systems. Embodiments of the present invention can be used to calculate a capabilities score for all storage systems, resulting in a list of storage systems, prioritized, so that a storage administrator may select automatically or manually, the best system to provision for the requesting application, based on the calculated capabilities score of each storage system.

Provisioning storage allocation using prioritized storage system capabilities

Methods, computing systems and computer program products implement embodiments of the present invention that include defining multiple capabilities for a set of resources, the resources comprising storage space. A plurality of services are defined, each of the services including one or more of the capabilities for a subset of the resources, and a software defined storage (SDS) system is configured including the defined services. Upon the SDS system receiving a request to forecast an amount of the storage space including one or more of the capabilities that will be available at a specified future time, one or more of the services including the one or more capabilities are identified, and a predicted amount of the storage space for the identified one or more services is computed for specified future time. In some embodiments, a given identified given service includes one or more additional capabilities not required by the request.

Storage capacity forecasting by capability sets

A computer-implemented method according to one embodiment includes identifying a host within a container environment, and mapping a volume of a container to the host within the container environment, utilizing small computer system interface (SCSI) second level addressing.

Scale and performance for persistent containers using SCSI second level addressing to map storage volume to host of container environment, wherein said storage volume is scanned at said SCSI second level addressing without rescanning at OS level virtualization

Embodiments for managing volume replication and disaster recovery in a containerized storage environment. A mapping is established between a PersistentVolumeClaim (PVC) having a correlated Persistent Volume (PV), and a source storage World Wide Name (WWN) and a target storage WWN. The mapping is replicated as part of a replication operation between the source storage and the target storage thereby maintaining consistency of the PV associated with one or more application containers among the source storage and the target storage.

Container replication and failover orchestration in distributed computing environments

Methods, apparatus and computer program products implement embodiments of the present invention that include storing one or more data volumes to a small computer system interface storage device, and receiving a request to map a given data volume to a host computer. One or more attributes of the given data volume are identified, and using the identified one or more attributes, a unique logical unit number (LUN) for the given data volume is generated. The given data volume is mapped to the host computer via the unique LUN. In some embodiments, the generated LUN includes one of the one or more attributes. In additional embodiments, the generated LUN includes a result of a hash function using the one or more attributes. In storage virtualization environments, the data volume may include secondary logical units, and mapping the given data volume to the host may include binding the SLU to the host.

Using deterministic logical unit numbers to dynamically map data volumes

Embodiments for volume management in a data storage environment. A network sniffing operation between virtual machines is performed to detect relationships between the virtual machines and thereby identify candidates for subsequent storage volume affiliation operations.

Methods, computing systems and computer program products implement embodiments of the present invention that include receiving a request including a specified number of logical volumes, and identifying, in a storage system including multiple storage pools having storage space, respective first amounts of the storage space that are available in the multiple storage pools. Based on the specified number of logical volumes and the first amounts of the storage space, a set of volume sizes indicating second amounts of the storage space are defined, and a given volume size indicating a maximum size for the specified number of logical volumes is identified. Upon conveying the maximum size to a user, and receiving, from the user, a specified size less than or equal to the maximum size, the specified number of the volumes having the specified size can be provisioned, wherein each of the volumes is stored in a given storage pool.

Determining maximum volume size

Embodiments for volume management in a data storage environment. A storage pool of a plurality of storage pools is selected to provision at least one storage volume by calculating, for each of the plurality of storage pools, a forecast factor representing an expected usage according to an overall size of the at least one storage volume. The selected storage pool is the storage pool of the plurality of storage pools having a smallest forecast factor.

Storage pool selection for provisioning volumes in an over-allocation system

When a volume that was once associated with a consistency group and is to be deleted from the storage system, the to be deleted volume is designated as a ghost volume within the storage system, and the deletion of the ghost volume from the storage system is delayed until there are no snapshots that include a pointer to the ghost volume. The storage system may include a counter that counts the number of instances all volumes within a consistency group are pointed to or that counts the number of instances that only ghost volumes are pointed to. The storage system may reference this count to determine whether to immediately delete or delay the deletion of the volume from the storage system.

Managing a deletion of a volume referenced by a snapshot of a consistency group

A method, including deploying multiple servers as a distributed computing system (DCS) configured to provide a service to clients. At a first time, a given server is configured as an active node in the DCS, the active node configured to and to process requests for the service received from the clients. At the first time, one or more remaining first servers are configured as one or more semi-active nodes in the DCS, each given semi-active node configured to receive, from the clients, requests for the service, and to forward the received requests to the active node for processing. Each of the servers maintains respective counts of the received requests, and at a second time subsequent to the first time, upon identifying a given remaining server having a highest count the given remaining server is reconfigured as the active node, and the given server is reconfigured as a semi-active node.

Dynamic client-based leader election

Methods, computing systems and computer program products implement embodiments of the present invention that include identifying a set of storage services on multiple storage systems. A plurality of storage services are defined, each of the storage services comprising a subset of the storage resources, and a defined storage (SDS) system is configured comprising the defined storage services. Multiple sub consistency groups are configured, each of the sub consistency group comprising one or more logical volumes stored in a subset of the defined storage services on a given storage system, and a consistency group is configured comprising the multiple sub consistency groups. Upon detecting a snapshot condition, processing input/output operations to all the volumes in the sub consistency groups can be simultaneously suspended, a snapshot for each of the sub consistency groups is generated, and the processing of the input/output operations is resumed upon generating the respective snapshots.

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Kfar-Saba, Israel

Ran Harel