Preventing applications from overconsuming shared storage resources, including: identifying one or more sub-regions of data stored on a storage device that are associated with an application of a known application type; compiling information describing the application's utilization of a storage system; determining that a storage system objective has not been met; and initiating, based on the information describing the application's utilization of the storage system, remediation actions.

A cloud-based system for securely storing data, the system having a processor which obtains a source data file; splits it into at least three fragments; and uses an encryption key associated with the fragments to encrypt the fragments and distributes the encrypted fragments among at least three cloud storage providers, creates a pointer file containing information for retrieving the encrypted fragments. When a system user requests access to the data, the system uses the information stored in the pointer file to retrieve the stored encrypted fragments from the plurality of clouds; decrypts the fragments and reconstructs the data, and provides data access to the system user.

A method for managing provenance information associated to one or more interconnected provenance entities in a provenance system for data processing pipelines in a distributed cloud environment over a network interface, wherein each of the data processing pipelines is configured to read in data, transform the data, and output transformed data is disclosed. The method comprises steps being performed by a configuration component of obtaining at least one declarative intent representing a configuration indicative of requirements and levels of priority for storage of provenance information for each of the data processing pipelines, deriving the requirements and levels of priority for storage of provenance information for each of the data processing pipelines based on the obtained at least one declarative intent, wherein one of the levels of priority—first level of priority—is higher than the other levels of priority—second levels of priority, estimating storage capacity for storage of provenance information in the provenance system based on the derived requirements and levels of priority, storing the provenance information according to the derived requirements and levels of priority for storage of provenance information and for each of the data processing pipelines, and when actual storage consumption for storage of provenance information in the provenance system meets a threshold of storage capacity set based on the estimated storage capacity: reducing a data amount for storage of provenance information of the second levels of priority in the provenance system. Corresponding computer program product, arrangement, configuration component, and system are also disclosed.

Certain embodiments described herein relate to an improved disk usage growth prediction system. In some embodiments, one or more components in an information management system can determine usage status data of a given storage device, perform a validation check on the usage status data using multiple prediction models, compare validation results of the multiple prediction models to identify the best performing prediction model, generate a disk usage growth prediction using the identified prediction model, and adjust the available space of the storage device according to the disk usage growth prediction.

Described are a system, method, and computer program product for generating a data storage server distribution pattern. The method includes determining a set of servers and raw data to be stored. The method also includes transforming the raw data according to an error-correcting code scheme to produce distributable data. The method further includes determining a server reliability of each server in the set of servers. The method further includes generating the data storage server distribution pattern based on maximizing a system reliability relative to maximizing a system entropy. System reliability may be based on a minimum reliability of the set of servers, and system entropy may be based on a cumulated information entropy of each server of the set of servers. The method further includes distributing the distributable data to be stored across at least two servers of the set of servers according to the data storage server distribution pattern.

Systems and methods for allocating memory and redirecting data writes based on temperature of memory modules in a cloud computing system are described. A method includes maintaining temperature profiles for a first plurality of memory modules and a second plurality of memory modules, The method includes automatically redirecting a first request to write to memory from a first compute entity being executed by the first processor to a selected one of a first plurality of memory chips, whose temperature does not meet or exceed the temperature threshold, included in at least the first plurality of memory modules and automatically redirecting a second request to write to memory from a second compute entity being executed by the second processor to a selected one of the second plurality of memory chips, whose temperature does not meet or exceed the temperature threshold, included in at least the second plurality of memory modules.

An edge accelerator card has a first interface, a second interface, a memory and a processor. The first interface is to couple to a server. The second interface is to couple to a storage system. The processor is to handle communication between the server and the storage system through the first interface and the second interface. The processor is to perform at least one task as directed by the storage system, using the memory and communication through at least the second interface.

Provided are electronic devices and methods for power reduction in systems with multiple memory ranks. The electronic device includes a memory system including first and second memory ranks and a memory controller connected to the memory system and configured to control power of the memory system. The memory controller being configured to cause the first memory rank to enter an idle power down (IPD) state during memory access in which a data toggle time without a data bubble is equal to or greater than an IPD minimum gain duration in another bank access for the second memory rank.

Techniques are provided for operating a memory package and more specifically to increasing bandwidth of a system having stacked memory. In an example, a system can include a storage device having a first type of volatile memory and a second type of volatile memory, and a host device coupled to the storage device. The host device can issue commands to the storage device to store and retrieve information of the system. The host device can include a memory map of the storage device and latency information associated with each command of the commands. The host can sort and schedule pending commands according to the latency information and can intermix commands for the first type of volatile memory and commands for the second type of volatile memory to maintain a high utilization or efficiency of a data interface between the host device and the storage device.

An aspect of the invention relates to a method of managing jobs in a information system (SI) on which a plurality of jobs run, the information system (SI) comprising a plurality of computer nodes (NDi) and at least a first storage tier (NS1) associated with a first performance tier and a second storage tier (NS2) associated with a second performance tier lower than the first performance tier, each job being associated with a priority level determined from a set of parameters comprising the node or nodes (NDi) on which the job is to be executed, the method comprising a step of scheduling the jobs as a function of the priority level associated with each job; the set of parameters used for determining the priority level also comprising a first parameter relating to the storage tier to be used for the data necessary for the execution of the job in question and a second parameter relating to the position of the data necessary for the execution of the job (TAi) in question.