A method for authorizing I/O (input/output) commands in a storage cluster is provided. The method includes generating a token responsive to an authority initiating an I/O command, wherein the token is specific to assignment of the authority and a storage node of the storage cluster. The method includes verifying the I/O command using the token, wherein the token includes a signature confirming validity of the token and wherein the token is revocable.

A method for authorizing I/O (input/output) commands in a storage cluster is provided. The method includes generating a token responsive to an authority initiating an I/O command, wherein the token is specific to assignment of the authority and a storage node of the storage cluster. The method includes verifying the I/O command using the token, wherein the token includes a signature confirming validity of the token and wherein the token is revocable.

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 memory performs a sequence of ECS operations to read a codeword, detect and correct any errors, and write the corrected codeword back to the memory array. An ECS circuit counts errors which are detected, and sets a value of one or more ECS registers in a mode register if the count exceeds a threshold filter at the end of the ECS cycle. The memory also includes a forced ECS readout circuit, which responsive to a command, for example from a controller, sets the value(s) in the ECS register(s).

A semiconductor system includes a process control circuit configured to determine whether to perform a patrol training operation, generate a voltage code signal for adjusting a level of a reference voltage which determines a logic level of data in a target memory circuit, and adjust the voltage code signal on the basis of a fail information signal corresponding to the target memory circuit, an operation control circuit configured to receive a command and an address from a host, generate, from the command, a write signal and a read signal for performing a normal operation, and generate, from the address, an internal address for performing the normal operation and an error detection circuit configured to detect an error in the data by receiving the data from the target memory circuit, and generate the fail information signal depending on whether the error has occurred in the data.

Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.

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.

Methods and systems are provided for rapid failure recovery for a distributed storage system for failures by one or more nodes.

A computer-implemented system for dynamic aggregation of data and minimization of data loss is disclosed. The system may be configured to perform instructions for: aggregating information from a plurality of networked systems by collecting a set of data from the networked systems, the set of data comprising data associated with a predetermined period of time and comprising one or more central variables that are included in data associated with more than one networked systems of the plurality of networked systems and one or more associated variables that describe one or more aspects of the central variables; retrieving one or more data transformation rules based on a relational map among the central variables and the associated variables; and aggregating the first set of data into one or more master data structures corresponding to the central variables based on the data transformation rules.