In one embodiment, a method for margin determination for a computing system with a real time operating system and priority preemptive scheduling comprises: scheduling a set of tasks to be executed in one or more partitions, wherein each is assigned a priority, wherein the tasks comprise periodic and/or aperiodic tasks; executing the set of tasks on the computing system within the scheduled periodic time window; introducing an overhead task executed for an execution duration controlled either by the real time operating system or by the overhead task; controlling the overhead task to converge on a point of failure at which a length of the execution duration of the overhead task causes either: 1) a periodic task to fail to execute within a deadline, or 2) time available for the aperiodic tasks to execute to fall below a threshold; and defining a partition margin corresponding to the point of failure.

A system and method for allowing an assignee to rapidly collect data about a bug/error that is associated with the execution of a software application on a computing device. The method includes including receiving, from a client device, a request to resolve an error associated with an execution of an application on a remote server. The request includes configuration information for connecting to the remote server and an identifier to a component of the application. The method includes determining one or more files associated with the component of the application. The method includes establishing a connection to the remote server using the configuration information. The method includes retrieving the one or more files from the remote server via the connection. The method includes granting, to an assignee device, access to the one or more files that were retrieved from the remote server.

A Processing-In-Memory (PIM) device includes an error correction code (ECC) logic circuit and an error accumulation detection circuit. The error correction code (ECC) logic circuit configured to detect an erroneous bits included in first data to generate a parity bit, and to detect an error correction capability of the first data to generate an error correction fail signal. The error accumulation detection circuit configured to generate an error accumulation signal counted by a pulse of the error correction fail signal. The error correction capability set to the maximum number of erroneous bits that can be corrected by performing an ECC operation on the first data.

A method for validation and runtime estimation of a quantum algorithm includes receiving a quantum algorithm and simulating the quantum algorithm, the quantum algorithm forming a set of quantum gates. The method further includes analyzing a first set of parameters of the set of quantum gates and analyzing a second set of parameters of a set of qubits performing the set of quantum gates. The method further includes transforming, in response to determining at least one of the first set of parameters or the second set of parameters meets an acceptability criterion, the quantum algorithm into a second set of quantum gates.

To be able to support the efficient handling of problems during maintenance. A management board determines an accomplishment sequence of handling manipulation for failures on a maintenance target. The management board includes a CPU, memory, and a storage device. The memory or the storage device stores: condition information associating the handling manipulation with a condition concerning at least accomplishment or non-accomplishment of the manipulation; and failure handling information that associates a failure occurring on the maintenance target with the handling manipulation. The CPU is configured to determine the accomplishment sequence of the handling manipulations so that multiple handling manipulations for multiple failures occurring on the maintenance target satisfy the condition.

A method for rebuilding data, comprising: obtaining, from a metadata node, a source file data layout for a source file and a target file data layout for a target file, wherein the source file is associated with a degraded mapped RAID group and the target file is associated with a new mapped RAID group; generating, by the client application node, a plurality of input/output (I/O) requests to read a portion of the data associated with the source file using the source file data layout; obtaining, in response to the plurality of I/O requests, the portion of the data associated with the source file; rebuilding a second portion of the data associated with source file using the portion of the data; and initiating, storage of at least the second portion of the data associated with the source file in the storage pool using the target file data layout.

Disclosed is a system including a memory device having a plurality of physical memory segments and a processing device to perform operations that include, responsive to detecting a failure of a memory operation associated with a physical memory segment of the plurality of physical memory segments, quarantining the physical memory segment, responsive to quarantining the physical memory segment, performing one or more scanning operations on the physical memory segment, and determining, based on results of the one or more scanning operations, a viability status of the physical memory segment, wherein the viability status indicates an ability of the physical memory segment to store data.

In one approach, filesets to be backed up are divided into partitions and snapshots are pulled for each partition. In one architecture, a data management and storage (DMS) cluster includes a plurality of peer DMS nodes and a distributed data store implemented across the peer DMS nodes. One of the peer DMS nodes receives fileset metadata for the fileset and defines a plurality of partitions for the fileset based on the fileset metadata. The peer DMS nodes operate autonomously to execute jobs to pull snapshots for each of the partitions and to store the snapshots of the partitions in the distributed data store.

Technologies are provided to ensure integrity of erasure coded data that is subject to read and write access from distributed processes. Multiple processes that access erasure coded data can be coordinated in an efficient, scalable and fault-tolerant manner so that integrity of the original data is maintained. The Technologies include a fault-tolerant access coordination protocol that ensures exclusive write access by a client. The coordination protocol achieves scalability by not relying on centralized components, and achieves efficiency and performance by piggy-packing access coordination messages on operations of the underlying erasure coding protocol.

A memory device comprises a memory control unit including a processor configured to control operation of the memory array according to a first memory management protocol for memory access operations, the first memory management protocol including boundary conditions for multiple operating conditions comprising program/erase (P/E) cycles, error management operations, drive writes per day (DWPD), and power consumption; monitor operating conditions of the memory array for the P/E cycles, error management operations, DWPD, and power consumption; determine when a boundary condition for one of the multiple operating conditions is met; and in response to determining that a first boundary condition for a first monitored operating condition is met, change one or more operating conditions of the first memory management protocol to establish a second memory management protocol for the memory access operations, the second memory management protocol including a change boundary condition of a second monitored operating condition.