Abstract: Embodiments of the invention relate to storage systems, and for recording event records into a log. Different statistics may be tallied from the log, with the different statistics generating different statistical measurements. The aspect of processing of I/O and preparation of statistical measurements are separated, thereby enabling data structures and algorithms which would not be considered feasible for use as part of I/O processing, because they may compromise the performance or other essential characteristic of I/O processing, to be employed.

Abstract: Embodiments of the invention relate to storage systems, and for recording event records into a log. Different statistics may be tallied from the log, with the different statistics generating different statistical measurements. The aspect of processing of I/O and preparation of statistical measurements are separated, thereby enabling data structures and algorithms which would not be considered feasible for use as part of I/O processing, because they may compromise the performance or other essential characteristic of I/O processing, to be employed.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A method for tracking transactions performed on a non-volatile storage medium. The medium consists of a plurality of storage ranges. The method includes assigning respective local counters to the plurality of storage ranges, the local counters having respective local counter values, and storing the local counter values together in a selected region of the non-volatile storage medium. The method further includes updating the respective local counter values stored in the selected region responsively to the transactions performed on the storage ranges to which the local counters are respectively assigned. The method also includes reading and combining the local counter values from the selected region in order to determine a global counter value with respect to the non-volatile storage medium.

Abstract: A method for managing data in a computer system includes storing the data in a plurality of data structures. When a transaction request for accessing the data in a specified data structure is received, a time-limited lease on the specified data structure is granted responsively to the transaction request. Access to the specified data structure is controlled, based on the lease, until completion of the transaction request.

Abstract: A method for tracking transactions performed on a non-volatile storage medium. The medium consists of a plurality of storage ranges. The method includes assigning respective local counters to the plurality of storage ranges, the local counters having respective local counter values, and storing the local counter values together in a selected region of the non-volatile storage medium. The method further includes updating the respective local counter values stored in the selected region responsively to the transactions performed on the storage ranges to which the local counters are respectively assigned. The method also includes reading and combining the local counter values from the selected region in order to determine a global counter value with respect to the non-volatile storage medium.

Abstract: A method for storage and retrieval of information includes coupling a plurality of clients to communicate with a storage device via a network, and reading out data from a selected location on the storage device to a memory of one of the clients. After the client has modified the data in the memory, the storage device determines whether the modified data can be written back to the selected location as part of an atomic operation together with the reading out and modifying of the data. The modified data is stored in the selected location only after verifying that the modified data can be written back to the selected location as part of the atomic operation.

Abstract: A method for storage and retrieval of information includes coupling a plurality of clients to communicate with a storage device via a network, and reading out data from a selected location on the storage device to a memory of one of the clients. After the client has modified the data in the memory, the storage device determines whether the modified data can be written back to the selected location as part of an atomic operation together with the reading out and modifying of the data. The modified data is stored in the selected location only after verifying that the modified data can be written back to the selected location as part of the atomic operation.