Emc IP Holding Company LLC

Dell Products Inc.

Peniel Charles

Owen Crowley

Manikandan Sethuraman

Joseph G Kanjirathinkal

Sanjib Mallick

Gopinath Marappan

Vinay G Rao

Amit Pundalik Anchi

Venkatesh Doddamane Nagaraj

Arieh Don

Kurumurthy Gokam

Vighneshwar Hegde

Shashidhar R Kulkarni

Venkata Adireddy Padala

Pramod Kumar Puthanveettil Kurungodan

Erik P Smith

Rimpesh Patel

Surendra Singh Chauhan

Karthik Mani

Nagaveni Bhavi

Amudha Krishnasamy

Shamin P Mohanan

Venkatesh Dn

Dambarudhar Jani

An apparatus in one embodiment comprises at least one processing device configured to store a mapping for each of a plurality of logical storage devices of a storage system, the mapping for a given one of the logical storage devices assigning different ranges of logical block addresses of that logical storage device to respective different cache entities of the storage system. The at least one processing device is further configured to receive at least one mapping-related communication from at least one of first and second host devices that have shared access to the given logical storage device, to modify the stored mapping for the given logical storage device based at least in part on the at least one received mapping-related communication, and to send at least one mapping-related communication to at least one of the first and second host devices based at least in part on the modified stored mapping.

Synchronized mapping for cache-aware load balancing across multiple host devices

A method, comprising: selecting an HBA entity that is currently turned on and which is part of a host device, the host device being coupled to a storage array, the host device being configured to read and write data to the storage array; identifying an identifier of the HBA entity; identifying, based on the identifier, a switch that is coupled to the HBA entity via a communications path; identifying one or more other communications paths that span between the host device and the switch; detecting whether a redundancy policy would be violated if the HBA entity were to be turned off, the redundancy policy including at least one rule that specifies a minimum number of active paths that must be present between the host device and the switch at any given time; turning off the HBA entity in response to detecting that the redundancy policy would not be violated.

Improving data center sustainability through dynamic inclusion and elimination of paths

Multipathing software in an IO path on a host implements DIF processing (MPIO DIF) to enable data integrity verification to be implemented between the host and a storage array. The multipathing software uses control signaling to identify a set of applications that have data integrity verification implemented using MPIO DIF. For application write IO operations, the multipathing software adds an 8-byte extended sector defined by DIF, to enable data integrity verification to be implemented by the storage array when the write IO is received at the storage array front-end. For application read IO operations, the storage array receives the read IO operation, determines that the read IO operation is from an MPIO DIF application, and the storage array adds an 8-byte extended sector defined by DIF, to enable data integrity verification to be implemented by the multipathing software when the read IO is received from the storage array.

Enabling data integrity verification with multipathing software and storage array microcode

An apparatus comprises a processing device configured to identify, for a given path interconnecting a given host device and a storage system, a set of two or more checkpoints characterizing health of the given path. The processing device is also configured to generate health predictions for each checkpoint in the identified set of two or more checkpoints, and to determine whether any of the generated health predictions indicates an expected date of failure within a designated period of time. The processing device is further configured, responsive to determining that at least one of the generated health predictions indicates an expected date of failure within the designated period of time, to proactively update the connection state of the given path in a given multi-path input-output driver of the given host device.

Multi-path layer configured for proactive path state changes

An aspect of the present disclosure relates to using at least one service-level objective (SLO) to control data communications between two or more devices over a network. In embodiments, a notification is received by a source device. The notification can include status information of at least one of a plurality of communication paths between the source device and a target device. A communications control technique can be performed based on the indicated status. The communications control technique can include prioritizing one or more data packets based on a data payload corresponding to each packet. The technique can also include controlling the transmission of one or more data packets based on each data packet's priority.

Controlling storage arraydata transmissions

An apparatus includes at least one processing device configured to identify one or more logical storage devices each accessible in at least first and second storage systems, to detect one or more input-output (IO) operations associated with an offload application programming interface (API) of at least one of the first and second storage systems, to clone each such detected IO operation, and to send resulting respective first and second instances of each cloned IO operation to respective ones of the first and second storage systems. The first and second instances of each cloned IO operation are tagged prior to being sent to respective ones of the first and second storage systems so as to allow each of the first and second storage systems to separately determine that the other one of the first and second storage systems has been sent a corresponding instance of the cloned IO operation.

Host device configured for efficient delivery of offload API commands to multiple storage systems

A method comprises receiving at one or more cloud storage nodes a data block to be validated in connection with adding the data block to a digital ledger. The data block is received from a party storage node corresponding to a party of a plurality of parties that are members of a blockchain computing environment. The party storage node executes a first portion of a validation operation for the data block. The one or more cloud storage nodes execute a second portion of the validation operation for the data block. In the method, the data block is added to the digital ledger responsive to validating the data block, and at least a portion of the digital ledger is stored in the one or more cloud storage nodes.

Storage systems to perform data validation in blockchains

One or more aspects of the present disclosure relate to dynamically selecting a storage array and corresponding input/output (IO) paths between a host and the storage array. In embodiments, a virtual storage volume (VSV) can be established for a host entity using one or more storage device portions from a plurality of storage arrays. In addition, IO servicing metric parameters can be dynamically measured. For example, the servicing metric parameters can define metrics corresponding to the VSV's assigned ports on each storage array or network latency between the host and each storage array. Further, a primary storage array from the plurality of storage arrays can be selected based on the IO servicing metrics.

Array resource based input/output (IO) path selection in a distributed services environment

An apparatus comprises a processing device configured to identify a plurality of data portions from a source storage volume to be copied to a target storage volume, and to analyze performance of respective ones of a plurality of host devices in connection with at least one copying operation. Respective ones of the plurality of host devices are assigned to perform copying of respective subsets of the plurality of data portions to the target storage volume based, at least in part, on the analysis.

Load sharing of copy workloads in device clusters

The condition of SFP transceivers of RDF port pairs is monitored and used to project port pair data transmission rate degradation. Responsive to receipt of a command to migrate data from a source volume to a target volume, ability of port pairs to accommodate the additional load associated with data migration is calculated based on projected data transmission rate and normal load. Only port pairs that are capable of accommodating the additional load in view of the condition of the SFP transceivers are considered as candidates. Utilization of the source volume is monitored and the target volume is created with a size based on projected growth of utilization of the source volume.

Using predictive analytics on SFP metrics to influence the target port selection process

An apparatus comprises a processing device configured to receive multi-pathing settings from a plurality of nodes of one or more clusters, and to identify at least one group of the plurality of nodes belonging to a same cluster of the one or more clusters. The processing device is further configured to identify a master node of the at least one group of nodes, and to deliver at least a portion of the multi-pathing settings of the master node to one or more remaining nodes of the at least one group of nodes.

Synchronization of multi-pathing settings across clustered nodes

A management appliance communicates with host servers and a storage array to determine per-path loading. Based on the loading, the management appliance selects a host server with an uncredentialed path for reconfiguration. Unique endpoint authentication credentials are sent from the management appliance to the selected host server and the storage array. The uncredentialed path is placed in standby mode and the selected host server and the storage array are updated with the unique endpoint authentication credentials, which are then used to reactivate the path with endpoint authentication. Tight coupling between the MPIO software management appliance, storage array, and MPIO drivers on the host servers enables reconfiguration to be automated and based on host server loading, storage array loading, and loading of uncredentialed paths.

Automated non-disruptive migration of hosts to an authenticated storage array connection

A power supply manager manages power utilization of a first uninterruptible power source and a second uninterruptible power source. A load balancing service retrieves information that is associated with a first power supply unit and a second power supply unit, and determines a first power source state associated with the first uninterruptible power source and a second power source state associated with the second uninterruptible power source. The service may also set the first power supply unit in an active mode based on the first power source state, and set the second power supply unit in a standby mode based on the second power source state. The service may also transition the first power supply unit from the active mode to standby mode, and the second power supply unit from standby mode to the active mode, based on a power imbalance.

Dynamic load balancing across power supply units

Techniques are provided for path management and failure prediction in a multipath environment using target port power levels. One method comprises obtaining, by a first entity that communicates with a second entity via multiple paths, a transmit power level and/or a receive power level of a target port associated with the second entity; evaluating the transmit power level and/or the receive power level of the target port relative to a threshold; and setting, by the first entity, a path state of one or more paths between the first entity and the target port to a standby state based on the evaluating, wherein the first entity establishes paths between the first entity and one or more other target ports of the second entity in an active state. Existing communications on the one or more paths between the first entity and the target port may be allowed to complete in the standby state.

Path management and failure prediction using target port power levels

Multipath hosts with the ability to detect path latency, report latency values on paths between the Latency Detecting (LD) host and a set of storage systems. The detected latency values are used by the storage system to create a data structure correlating path information with the detected latency values. When hosts without the ability to detect path latencies (non-LD hosts) connect to the storage systems, the path information about paths used by the non-LD hosts is used to determine reported latency values for paths with similar path information, to generate presumed latency values for the paths used by the non-LD hosts. Where paths used by non-LD hosts have higher latency values, the storage system sets a path attribute value, such as an ALUA state for the path, to signal non-LD hosts to preferentially use paths with lower presumed latency values.

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Bengaluru, India

Peniel Charles