Abstract: A method for enhanced restart of a core dumping application is provided. The method includes stopping a plurality of threads in an address space, except for the thread performing the core dump. Computational segments are remapped to client segments. Each open file descriptor in the address space is closed. The application is terminated and the client segments are flushed to external storage.

Abstract: A method for enhanced restart of a core dumping application is provided. The method includes stopping a plurality of threads in an address space, except for the thread performing the core dump. Computational segments are remapped to client segments. Each open file descriptor in the address space is closed. The application is terminated and the client segments are flushed to external storage.

Abstract: A computer program product and a computer system for building a scalable system dump facility is provided. The method includes loading a component into system memory. The component includes a plurality of program modules. A component text range table entry is created for each component, whereby the component text range table entry includes: an address range, a component identifier, a data collection function, and a link to one or more related components. Upon invoking a system dump facility, a failing function instruction is determined, based on an address of the failing instruction. The component text range table is searched for an address of a failing function that is in the address range. Memory regions that are associated with the address range are transferred to a storage device first. Memory regions that are associated with related components are transferred next. Remaining memory regions are then transferred.

Abstract: A method for building a scalable system dump facility is provided. The method includes loading a component into system memory. The component includes a plurality of program modules. A component text range table entry is created for each component, whereby the component text range table entry includes: an address range, a component identifier, a data collection function, and a link to one or more related components. Upon invoking a system dump facility, a failing function instruction is determined, based on an address of the failing instruction. The component text range table is searched for an address of a failing function that is in the address range. Memory regions that are associated with the address range are transferred to a storage device first. Memory regions that are associated with related components are transferred next. Remaining memory regions are then transferred.

Abstract: A method is provided in the illustrative embodiments. A failure is detected in a first computing node serving an application in a cluster. A subset of actions is selected from a set of actions, the set of actions configured to transfer the serving of the application from the first computing node to a second computing node in the cluster. A waiting period is set for the first computing node. The first computing node is allowed to continue serving the application during the waiting period. During the waiting period, concurrently with the first computing node serving the application, the subset of actions is performed at the second computing node. Responsive to receiving a signal of activity from the first computing node during the waiting period, the concurrent operation of the second computing node is aborted.

Abstract: A system, and computer program product for tolerating failures using concurrency in a cluster are provided in the illustrative embodiments. A failure is detected in a first computing node serving an application in a cluster. A subset of actions is selected from a set of actions, the set of actions configured to transfer the serving of the application from the first computing node to a second computing node in the cluster. A waiting period is set for the first computing node. The first computing node is allowed to continue serving the application during the waiting period. During the waiting period, concurrently with the first computing node serving the application, the subset of actions is performed at the second computing node. Responsive to receiving a signal of activity from the first computing node during the waiting period, the concurrent operation of the second computing node is aborted.

Abstract: A system, and computer program product for recovery in a database are provided in the illustrative embodiments. A failure is detected in a first computing node, the first computing node serving the database in a cluster of computing nodes. A snapshot is created of data of the database. A subset of log entries is applied to the snapshot, the applying modifying the snapshot to result in a modified snapshot. An access of the first computing node to the data of the database is preserved. Responsive to receiving a signal of activity from the first computing node during the applying and after a grace period has elapsed, the applying is aborted such that the first computing node can continue serving the database in the cluster.

Abstract: A method for recovery in a database is provided in the illustrative embodiments. A failure is detected in a first computing node, the first computing node serving the database in a cluster of computing nodes. A snapshot is created of data of the database. A subset of log entries is applied to the snapshot, the applying modifying the snapshot to result in a modified snapshot. An access of the first computing node to the data of the database is preserved. Responsive to receiving a signal of activity from the first computing node during the applying and after a grace period has elapsed, the applying is aborted such that the first computing node can continue serving the database in the cluster.

Abstract: A method, system, and computer program product for improving memory utilization of sparse pages are provided in the illustrative embodiments. A set of virtual pages is identified. Each virtual page in the set of virtual pages is a sparse virtual page. The set of virtual pages includes a first sparse virtual page and a second sparse virtual page. At least a portion of data of the first sparse virtual page in the set of virtual pages is stored in a first physical page. The first physical page belongs to a set of consolidation physical pages, and the first physical page also stores at least a portion of the data of the second sparse virtual page. The first and the second sparse pages are mapped to the first physical page.

Abstract: A method for recovery in a database is provided in the illustrative embodiments. A failure is detected in a first computing node, the first computing node serving the database in a cluster of computing nodes. A snapshot is created of data of the database. A subset of log entries is applied to the snapshot, the applying modifying the snapshot to result in a modified snapshot. An access of the first computing node to the data of the database is preserved. Responsive to receiving a signal of activity from the first computing node during the applying and after a grace period has elapsed, the applying is aborted such that the first computing node can continue serving the database in the cluster.

Abstract: A system, and computer program product for recovery in a database are provided in the illustrative embodiments. A failure is detected in a first computing node, the first computing node serving the database in a cluster of computing nodes. A snapshot is created of data of the database. A subset of log entries is applied to the snapshot, the applying modifying the snapshot to result in a modified snapshot. An access of the first computing node to the data of the database is preserved. Responsive to receiving a signal of activity from the first computing node during the applying and after a grace period has elapsed, the applying is aborted such that the first computing node can continue serving the database in the cluster.

Abstract: A system, and computer program product for tolerating failures using concurrency in a cluster are provided in the illustrative embodiments. A failure is detected in a first computing node serving an application in a cluster. A subset of actions is selected from a set of actions, the set of actions configured to transfer the serving of the application from the first computing node to a second computing node in the cluster. A waiting period is set for the first computing node. The first computing node is allowed to continue serving the application during the waiting period. During the waiting period, concurrently with the first computing node serving the application, the subset of actions is performed at the second computing node. Responsive to receiving a signal of activity from the first computing node during the waiting period, the concurrent operation of the second computing node is aborted.

Abstract: A method is provided in the illustrative embodiments. A failure is detected in a first computing node serving an application in a cluster. A subset of actions is selected from a set of actions, the set of actions configured to transfer the serving of the application from the first computing node to a second computing node in the cluster. A waiting period is set for the first computing node. The first computing node is allowed to continue serving the application during the waiting period. During the waiting period, concurrently with the first computing node serving the application, the subset of actions is performed at the second computing node. Responsive to receiving a signal of activity from the first computing node during the waiting period, the concurrent operation of the second computing node is aborted.

Abstract: A method, system, and computer program product for improving memory utilization of sparse pages are provided in the illustrative embodiments. A set of virtual pages is identified. Each virtual page in the set of virtual pages is a sparse virtual page. The set of virtual pages includes a first sparse virtual page and a second sparse virtual page. At least a portion of data of the first sparse virtual page in the set of virtual pages is stored in a first physical page. The first physical page belongs to a set of consolidation physical pages, and the first physical page also stores at least a portion of the data of the second sparse virtual page. The first and the second sparse pages are mapped to the first physical page.

Abstract: A method, programmed medium and system are disclosed which provide for end-to-end QoS for a set of processes that comprise a workload over nfs. A set of processes that comprise a workload such as the processes of a WPAR, or an entire LPAR are given a class designation and assigned priority/limits. The data are then passed to the server which allocates resources based on the sum total of all the current classes and their priorities and/or limits. This requires re-engineering the nfs client code to be workload-aware and the nfs server code to accommodate the resource allocation and prioritization needs of the nfs clients.

Abstract: A method, programmed medium and system are disclosed which provide for end-to-end QoS for a set of processes that comprise a workload over nfs. A set of processes that comprise a workload such as the processes of a WPAR, or an entire LPAR are given a class designation and assigned priority/limits. The data are then passed to the server which allocates resources based on the sum total of all the current classes and their priorities and/or limits. This requires re-engineering the nfs client code to be workload-aware and the nfs server code to accommodate the resource allocation and prioritization needs of the nfs clients.

Abstract: A method, programmed medium and system are disclosed which provide for end-to-end QoS for a set of processes that comprise a workload over nfs. A set of processes that comprise a workload such as the processes of a WPAR, or an entire LPAR are given a class designation and assigned priority/limits. The data are then passed to the server which allocates resources based on the sum total of all the current classes and their priorities and/or limits. This requires re-engineering the nfs client code to be workload-aware and the nfs server code to accommodate the resource allocation and prioritization needs of the nfs clients.

Abstract: The acquisition of a lock among nodes of a divided cluster is disclosed. A method is performable by each of at least one node of the cluster. A node waits for a delay corresponding to its identifier. The node asserts intent to acquire the lock by writing its identifier to X and Y variables where another node has failed to acquire the lock. The node waits for another node to acquire the lock where the other node has written to X, and proceeds where Y remains equal to its own identifier. The node waits for another node to acquire the lock where the other node has written to a Z variable, and writes its own identifier to Z and proceeds where the other node has failed. The node writes a value to Y indicating that it is acquiring the lock, and maintains acquisition by periodically writing to Z.

Abstract: The acquisition of a lock among nodes of a divided cluster is disclosed. A method is performable by each of at least one node of the cluster. A node waits for a delay corresponding to its identifier. The node asserts intent to acquire the lock by writing its identifier to X and Y variables where another node has failed to acquire the lock. The node waits for another node to acquire the lock where the other node has written to X, and proceeds where Y remains equal to its own identifier. The node waits for another node to acquire the lock where the other node has written to a Z variable, and writes its own identifier to Z and proceeds where the other node has failed. The node writes a value to Y indicating that it is acquiring the lock, and maintains acquisition by periodically writing to Z.

Abstract: A method, programmed medium and system are disclosed which provide for end-to-end QoS for a set of processes that comprise a workload over nfs. A set of processes that comprise a workload such as the processes of a WPAR, or an entire LPAR are given a class designation and assigned priority/limits. The data are then passed to the server which allocates resources based on the sum total of all the current classes and their priorities and/or limits. This requires re-engineering the nfs client code to be workload-aware and the nfs server code to accommodate the resource allocation and prioritization needs of the nfs clients.