Abstract: A method for managing a resource system includes obtaining, by a hardware resource manager, a firmware update lockdown request for a lockdown for a firmware device of the resource system, in response to the firmware update lockdown request: identifying a firmware protocol corresponding to the firmware device, generating a firmware lockdown command corresponding to the firmware device based on the firmware protocol, and initiating updating of a lockdown policy based on the firmware lockdown command.

Abstract: Techniques for intelligently routing IO to a storage class memory (SCM) namespace are disclosed. A configuration for a namespace is determined, where the configuration indicates a type of IO that the namespace is structured to handle. Details about the configuration of the namespace are stored in a repository. A forwarding rule is generated based on the namespace's stored configuration. When incoming IO having attributes similar to that type is received, implementation of the forwarding rule causes the incoming IO to be directed to the namespace. Attributes of a particular incoming IO are determined. As a result of the attributes satisfying a similarity threshold relative to the type, the forwarding rule is implemented such that the particular incoming IO is directed to the namespace.

Abstract: A method and system for risk score based asset data protection using a conformal framework. Concerning Internet-of-Things (IoT) environments, there is a growing challenge to ensure the availability and continuity of applications executing, as well as relevant application data maintained, on IoT devices, in order to mitigate potential operational failures and/or interruptions. The disclosed method and system address this growing challenge through risk-score assessments of the applications and their respective relevant application data (collectively referred to as assets), as well as the potential degradation of the underlying IoT device hardware. The aforementioned risk-score assessments employ clustering to identify, and a conformal framework to rank, high-risk (for failure) assets, which may subsequently be subjected to backup operations (overriding existing policies) to guarantee asset protection.

Abstract: One example method includes defining a configuration of SCM, receiving a stream of IOs from a client, analyzing the stream of IOs and, based on the analyzing, estimating future IO behavior of the client, and based on estimated future IO behavior of the client, reconfiguring one or more parameters of the configuration of the SCM to define an updated configuration of the SCM, and the updated configuration of the SCM enables an improvement in IO performance relative to an IO performance of the configuration of the SCM.

Abstract: Techniques described herein relate to a method for managing jobs. Such techniques may include: generating a job completion entry that specifies that execution of a first job was completed within an estimated period of time for the first job, generating a second job completion entry that specifies that execution of a second job was not completed within a second estimated period of time for the second job, updating the job resource mapping model based on the first job completion entry and the second job completion entry to obtain a new updated job resource mapping model.

Abstract: A set of restore jobs are created to restore a backup. The backup may be maintained across a set of storage devices connected to a backup server. The set of storage devices have different levels of performance and each restore job is responsible for restoring from a respective storage device. Information describing arrangements of processors and memory units is reviewed to create a set of heterogeneous domains, each domain including a processor and memory unit. Performance characteristics, including latency and bandwidth measurements, of the heterogeneous domains are examined. The heterogeneous domains are ranked based on their performance characteristics. The restore jobs are assigned to the heterogeneous domains by successively matching a restore job associated with a storage device having a lowest level of performance relative to other unmatched storage devices with a heterogeneous domain having a highest level of performance relative to other unmatched heterogeneous domains.

Abstract: Methods and systems support managed use of a Storage Class Memory (SCM) by one or more applications operating on an IHS (Information Handling System). The operations that are supported by an IHS processor for flushing data from the SCM are determined. Applications are identified that operate using the persistent data storage capabilities of the SCM. The SCM flushing operations invoked by each these applications are monitored. The utilization of the SCM by each of the first plurality of applications is determined based at least in part on the monitored flushing operations by each application. The utilization of the SCM may also be based on calculated metrics of SCM utilization by the respective applications. The applications are classified based their determined SCM utilizations. Based on the classifications of SCM utilization, a subset of the applications may be identified for removal from use of the SCM.

Abstract: Techniques described herein relate to methods for managing backup and restore operations. Such a method may include performing a vProxy health analysis to obtain vProxies assigned a healthy label; performing a confidence analysis to assign a health confidence score to each separate healthy label for each vProxy of the plurality of vProxies; filtering the plurality of vProxies to obtain a set of vProxies, each having a separate health confidence score over a confidence score threshold; calculating average throughput for each vProxy in the set of vProxies; assigning an optimal label to a vProxy of the set of vProxies based on the vProxy having an average throughput over a throughput threshold; and presenting a list of optimal vProxies comprising the vProxy to an entity configuring a backup job. The entity may select the vProxy for use in the backup job in response to being presented the optimal label of the vProxy.

Abstract: One example method includes selecting a best performing memory for an operation. A data protection system may maintain a global view of performance data for multiple namespaces. The performance data may reflect latency and/or bandwidth for each of the namespaces. The global view may be updated. When performing an operation, the best performing namespace can be selected from the global view based on performance.

Abstract: A method for managing a plurality of storage devices includes obtaining, by a storage device cleaning manager, a set of self-monitored statistics, performing an initial concern analysis to generate an initial concern prediction for each of the plurality of storage devices in a storage system, wherein the set of self-monitored statistics are associated with the plurality of storage devices, updating a cleaning policy based on the initial concern prediction, obtaining input/output (I/O) statistics, after updating the cleaning policy based on the initial concern prediction, performing a secondary concern analysis using the I/O statistics to generate a secondary concern prediction for each of the plurality of storage devices, wherein the I/O statistics are associated with the plurality of storage devices, further updating the cleaning policy, and performing a cleaning of at least a portion of the plurality of storage devices based on the updated cleaning policy.

Abstract: Embodiments for storing digital data in DNA storage by receiving input file data, encoding the input file data into an oligonucleotide sequence to produce sequence data through a transformation of text to binary to Base_3 encoding, organizing the Base_3 sequence data into chunks of a defined chunk size, and storing the chunks in a block of a blockchain. The oligonucleotide sequence may comprise metadata for the input file data that refers to actual data stored in the DNA storage, where the actual data is formed by synthesizing the oligonucleotide sequence in a DNA synthesis process. The chunks may be stored in the blockchain only if the block agrees with a smart contract defined for the oligonucleotide sequence.

Abstract: Embodiments include a method of storing digital data in a blockchain by receiving the digital data from a user, deduplicating the data in a deduplication system of the user to form deduplicated data, and encoding the deduplicated data into an array format for storage on a blockchain. A smart contract is deployed for deduplication on the destination side of the data, and the deduplicated data is encoded into a Binary Aligned Map (BAM) format for storage on the blockchain. A process on the destination side stores the deduplicated array data as a next block in the blockchain only if the next block agrees with the smart contract, and the blockchain is stored in system storage comprising hard disk, solid state, tape, or optical devices.

Abstract: The present disclosure relates to one or more memory management techniques. In embodiments, one or more regions of storage class memory (SCM) of a storage array is provisioned as expanded global memory. The one or more regions can correspond to SCM persistent cache memory regions. The storage array's global memory and expanded global memory can be used to execute one or more storage-related services connected to servicing (e.g., executing) an input/output (IO) operation.

Abstract: Embodiments include a method of storing digital data in DNA storage by receiving the digital data from a user, deduplicating the data in a deduplication system of the user to form deduplicated data, and encoding the deduplicated data into a DNA string into a format for storage on a blockchain. A smart contract is deployed for deduplication on the destination side of nucleotide sequences comprising the DNA string, and the deduplicated nucleotide sequences are encoded into a Binary Aligned Map (BAM) format for storage as metadata on the blockchain. A process on the destination side synthesizes the deduplicated nucleotides for storage in the DNA storage, and stores the deduplicated nucleotides in the DNA storage as a next block in the blockchain only if the next block agrees with the smart contract.

Abstract: One example method includes accessing a dataset, selecting a list of attributes of the dataset, each of the attributes being selected based on a determination that the attribute is affecting growth of the dataset and affecting an amount of data storage space consumed by the dataset, assigning a SHAP score to each attribute, using the SHAP scores to assign respective weights to each attribute, deriving drift and shock information for the dataset, and based on the drift and shock information, calculating a risk score that a storage capacity of an asset where the dataset is stored will be exhausted within a particular time interval.

Abstract: One example method includes defining a configuration of SCM, receiving a stream of IOs from a client, analyzing the stream of IOs and, based on the analyzing, estimating future IO behavior of the client, and based on estimated future IO behavior of the client, reconfiguring one or more parameters of the configuration of the SCM to define an updated configuration of the SCM, and the updated configuration of the SCM enables an improvement in IO performance relative to an IO performance of the configuration of the SCM.

Abstract: One example method includes selecting a best performing memory for an operation. A data protection system may maintain a global view of performance data for multiple namespaces. The performance data may reflect latency and/or bandwidth for each of the namespaces. The global view may be updated. When performing an operation, the best performing namespace can be selected from the global view based on performance.

Abstract: A memory device defines portions of the storage space as memory mode memory or storage mode memory. Memory mode memory is represented as a portion of a system physical address space of an information handling system, and storage mode memory is represented as a storage device in the information handling system. An operating system instantiates a paged virtual memory architecture on the information handling system. The information handling system determines a page miss rate for pages stored in the first portion of the storage space, receives a request to increase a first size of the first portion of storage space in response to determining the page miss rate, and increases the first size of the first portion of storage space to a second size in response to the request.

Abstract: Techniques described herein relate to methods for managing backup and restore operations. The method may include obtaining a health data items associated with vProxies; performing a first clustering analysis using the health data items to apply a first vProxy health label to a first portion of the vProxies and a second vProxy health label to a second portion of the vProxies; performing a first confidence analysis to determine a separate vProxy health confidence value for the first vProxy health label assigned to each of the first portion of vProxies; ranking the first portion of vProxies based on the first confidence analysis to obtain a ranked vProxy health list; receiving a request to perform a backup and restore management operation; and providing, in response to the request, a portion of the ranked vProxy health list to an entity requesting the backup and restore management operation.

Abstract: A method and system for health rank based virtual machine restoration using a conformal framework. With respect to enterprise data protection, solutions need to address two primary responsibilities: at the onset of failure or disaster, restore any running applications, as well as any lost or damaged data; and minimize (if not eliminate) the future occurrence of such failures or disasters. In tackling the latter responsibility, the disclosed method and system leverage health-score assessments to ensure the restoration of virtual machines onto healthy infrastructure. The aforementioned health-score assessments employ clustering to identify, and a conformal framework to rank, healthy hosts onto which virtual machines may be restored.