Abstract: In one exemplary embodiment, a DSM is used to store the data structures in a cluster shared memory, such that updates, deletions and insertions are applied to both the persistent data set and the DSM, and search, list and retrieval operations are processed directly from the DSM. A data structure in the persistent data set is stored in two separate DSM pages: a first page includes an identifying search key of the data structure, the search key also pointing to a location of the data structure in the storage. A second page includes the updatable properties of the data structure. A DSM storing the data structures' pages is organized as a two-row matrix.

Abstract: An original deduplication file system (DFS) file is partitioned into a first set of sections being sections including data affected by rewrite operations and a second set of sections being sections including data unaffected by rewrite operations. A new DFS file to be stored as part of a plurality of user files is created, the plurality of user files including the original DFS file and being accessible by a sequential DFS and a dynamic non-DFS, the dynamic non-DFS including a plurality of dynamic metadata files having entries pointing to corresponding sections of the original DFS files. The first set of sections of the original DFS file including data affected by rewrite operations is directly written into the new DFS file. The second set of sections from the original DFS file including data unaffected by rewrite operations is quoted into the new DFS file. The original DFS file is deleted.

Abstract: Provided herein are isolated viral and human nucleic acids associated with viral infection and various nucleic acid molecules relating thereto or derived therefrom. The nucleic acids may be useful for the prevention, treatment and diagnosis of viral infections.

Abstract: Various embodiments for reducing communication between cluster nodes and optimizing failover processing in a distributed shared memory (DSM)-based application by at least one processor device are provided. In one embodiment, for a data structure operable on a DSM, a read-mostly portion is maintained in a single copy sharable between the cluster nodes while an updatable portion is maintained in multiple copies, each of the multiple copies dedicated to a single cluster node.

Abstract: A snapshot of selected objects in a source repository is created in response to the user-initiated replication. The snapshot is designated as a snapshot replication job. The snapshot replication job is added to the end of a replication queue to await execution for the synchronized object replication. Unsynchronized objects in a target destination are detected by comparing a state of the selected objects in the snapshot with a current state of the target destination at the time of execution of the snapshot replication job. The unsynchronized objects in the target destination are synchronized based upon the comparison of the state of the selected objects in the snapshot with the current state of the target destination at the time of execution of the snapshot replication job.

Abstract: Persistent iteration is performed in stages on nodes arranged according to a node identification (ID) that is increasing in order under a parent node in database tree structure. While performing the persistent iteration, storing a start node ID of the node where the persistent iteration commenced, a current node ID of the node that is undergoing the persistent iteration, a parent node ID of the node that is undergoing the persistent iteration, and a numerical value representing the current level and all levels greater than the current level of nodes that are undergoing the persistent iteration. Upon completion of the persistent iteration on the nodes that are the children of the node with the parent node ID, returning to the first node among the children of the node with the parent node ID, as ordered by increasing node ID, and performing the persistent iteration for children nodes of each node.

Abstract: A management of capacity types with different consumption policies for an object in a computing storage system is performed by updating a reference type bitmap in a segment-fragment table containing segments that reference fragments upon the creation of a segment for an object. A reference is created in an object-segment reference table, between the object and the segment, in compliance with a consumption policy upon the creation of one of the segments for the object. The reference types that reference the segment are removed upon deletion of the segment.

Abstract: A selective tuple versioning is used on a files system for preserving past states of file system nodes by adding a bitmap to a row for a node within a file system table for preserving the past state of the node in a file system.

Abstract: A unique file-system node identification (ID) is created for each newly created node in a file system repository by combining a grid identification (ID), a repository identification (ID), and a node identification (ID) to form the unique file-system node ID. The unique file-system node ID is associated with a unique association identification (ID) for creating an association for linking the node from a source repository to a target repository when performing a replication operation between a repository and another repository. The different replication instances of the node in the file system repository are distinguished by the unique association ID assigned to each of the replication instances.

Abstract: Persistent iteration is performed in stages on nodes arranged according to a node identification (ID) that is increasing in order under a parent node in database tree structure. While performing the persistent iteration, storing a start node ID of the node where the persistent iteration commenced, a current node ID of the node that is undergoing the persistent iteration, a parent node ID of the node that is undergoing the persistent iteration, and a numerical value representing the current level and all levels greater than the current level of nodes that are undergoing the persistent iteration. Upon completion of the persistent iteration on the nodes that are the children of the node with the parent node ID, returning to the first node among the children of the node with the parent node ID, as ordered by increasing node ID, and performing the persistent iteration for children nodes of each node.

Abstract: Selective tuple versioning is used on a file system providing file system snapshots using selective tuple versioning for maintaining the state of the file system.

Abstract: A snapshot of selected objects in a source repository is created in response to the user-initiated replication. The snapshot is designated as a snapshot replication job. The snapshot replication job is added to the end of a replication queue to await execution for the synchronized object replication. Unsynchronized objects in a target destination are detected by comparing a state of the selected objects in the snapshot with a current state of the target destination at the time of execution of the snapshot replication job. The unsynchronized objects in the target destination are synchronized based upon the comparison of the state of the selected objects in the snapshot with the current state of the target destination at the time of execution of the snapshot replication job.

Abstract: A deduplication storage capacity is estimated as a function of an expected deduplication ratio, the expected deduplication ratio being a combined average of a current deduplication ratio and a configured deduplication ratio, the current deduplication ratio depending on the data currently stored in the deduplication storage, and the configured deduplication ratio being an estimate made at a configuration stage of the deduplication computing storage environment.

Abstract: A set of data structures are stored in a distributed shared memory (DSM) component and in persistent storage. The DSM component is organized as a matrix of page. The data structure of the set of data structures occupies a column in the matrix of pages. A recovery file is maintained in the persistent storage. The recovery file consists of entries and each one of the entries corresponds to a column in the matrix of pages by a location of each one of the entries.

Abstract: Various embodiments for reducing communication between cluster nodes and optimizing failover processing in a distributed shared memory (DSM)-based application by at least one processor device are provided. In one embodiment, for a data structure operable on a DSM, a read-mostly portion is maintained in a single copy sharable between the cluster nodes while an updatable portion is maintained in multiple copies, each of the multiple copies dedicated to a single cluster node.

Abstract: A dynamic layer above a sequential deduplication file system (denoted as DFS) implements the rewrite functionality. A user file is composed of one or more DFS files. As incoming data is written into a user file, the data is written by the dynamic layer sequentially into DFS files, created one by one. For each user file this dynamic layer creates and maintains a dynamic metadata file, in a regular, non deduplicated file system. This metadata file contains entries pointing to sections of DFS files.

Abstract: A dynamic layer above a sequential deduplication file system (denoted as DFS) implements the rewrite functionality. A user file is composed of one or more DFS files. As incoming data is written into a user file, the data is written by the dynamic layer sequentially into DFS files, created one by one. For each user file this dynamic layer creates and maintains a dynamic metadata file, in a regular, non deduplicated file system. This metadata file contains entries pointing to sections of DFS files.

Abstract: Various embodiments for deduplicated data processing congestion control in a computing environment are provided. In one such embodiment, a single congestion metric is determined from a sampling of a plurality of combined deduplicated data processing congestion statistics in a number of active deduplicated data processes. The congestion limit is calculated from a comparison of the single congestion metric to a congestion target setpoint, the congestion target setpoint being a virtual dimension setpoint and the congestion limit being a manipulated variable. The number of active deduplicated data processes is compared to the congestion limit. If the number of active deduplicated data processes is less than the congestion limit, a new deduplicated data process is spawned.

Abstract: A deduplication storage capacity is estimated as a function of an expected deduplication ratio, the expected deduplication ratio being a combined average of a current deduplication ratio and a configured deduplication ratio, the current deduplication ratio depending on the data currently stored in the deduplication storage, and the configured deduplication ratio being an estimate made at a configuration stage of the deduplication computing storage environment.

Abstract: Various embodiments for reducing communication between cluster nodes and optimizing failover processing in a distributed shared memory (DSM)-based application by at least one processor device are provided. In one embodiment, for a data structure operable on a DSM, a read-mostly portion is maintained in a single copy sharable between the cluster nodes while an updatable portion is maintained in multiple copies, each of the multiple copies dedicated to a single cluster node.