A computer-implemented method is presented for reporting application programs linked to by an application running under an online transaction processor of a mainframe computing environment. An intercept program is implanted in an address space of the online transaction processor. A task executing outside of the address space of the online transaction processor identifies an address for a target domain gate program supported in a domain by the online transaction processor; identifies an address for an unused domain gate program supported in the domain by the online transaction processor; replaces the address for the unused domain gate program with the address for the target domain gate program; and replaces the address for the target domain gate program with an address for the intercept program.

For the purpose of reproducing a call stack accurately without restricting the range of application, a stack scanner extracts, from a stack area of a thread whose call stack is to be acquired in a memory space of an application process, possible return addresses that are addresses in a feasible region in the memory space each representing a command right after a function call command. A program analyzer analyzes a control flow representing a flow of control configured by a branch in a function that is called by the function call command right before the command represented by each of the possible return addresses and, when there is a route reaching a command currently being executed in the control flow, determines that the possible return address is a return address and, when there is not the route, determines that the possible return address is not a return address.

Some embodiments include a system, method, and non-transitory medium, with the system including a plurality of database services; and a stateless backup operator to perform a first mode for each database service to reconfigure a current backup state of each database service with an associated desired backup state information for the respective database service and the stateless backup operator to switch to and perform a second mode for a specific one of the plurality of database services in response to a request execute a first backup operation for the specific database service.

Management of hierarchical process groups is provided. Aspects include creating a group identifier having an associated set of resource limits for shared resources of a processing system. A process is associated with the group identifier. A hierarchical process group is created including the process as a parent process and at least one child process spawned from the parent process, where the at least one child process inherits the group identifier. A container is created to store resource usage of the hierarchical process group and the set of resource limits of the group identifier. The set of resources associated with the hierarchical process group is used to collectively monitor resource usage of a plurality of processes in the hierarchical process group.

An electronic device includes a memory and a processor. The processor receives a platform management profile that includes information defining one or more platform management policies, a given platform management policy among the one or more platform management policies including a provided input from a specified hardware or software sensor and/or a provided output action. The processor uses the given platform management policy for controlling operating states of elements in the electronic device.

Embodiments are described for prognostication of real time operating system (RTOS) health. An example computer-implemented method includes monitoring, for a task from a plurality of tasks being executed by the RTOS, an execution time, an inter-arrival time, and a blocking time. The method further includes computing an RTOS state of health value based on the execution time, the inter-arrival time, and the blocking time of each task from the plurality of tasks. The method further includes, in response to the RTOS state of health value being less than a predetermined threshold, initiating performance of an error handling.

Operation of a multi-slice processor that includes a plurality of execution slices and a plurality of load/store slices, where the load/store slices are coupled to the execution slices via a results bus. Operation of such a multi-slice processor includes: capturing first state information corresponding to a first set of control signals; monitoring state information of a plurality of logical components of the multi-slice processor; selecting, in dependence upon one or more selection criteria and upon the monitored state information, a second set of control signals; and capturing second state information corresponding to the second set of control signals, wherein the first set of control signals is different than the second set of control signals.

A plurality of processing elements (PEs) include memory local to at least one of the processing elements in a data packet-switched network interconnecting the processing elements and the memory to enable any of the PEs to access the memory. The network consists of nodes arranged linearly or in a grid to connect the PEs and their local memories to a common controller. The processor performs memory accesses on data stored in the memory in response to control signals sent by the controller to the memory. The local memories share the same memory map or space. The packet-switched network supports multiple concurrent transfers between PEs and memory. Memory accesses include block and/or broadcast read and write operations, in which data can be replicated within the nodes and, according to the operation, written into the shared memory or into the local PE memory.

An enterprise service bus (ESB) business activity monitoring system and related methods. Specific implementations include a message box server, an itinerary server, a business activity monitoring (BAM) server, a message box database, an itinerary database, a BAM database, a web server and a caching server all operatively coupled together. A developer computer and user computer may be coupled with the web server through a telecommunication channel. The first user computer may include a first computer interface and a second computer interface. The first computer interface may be configured to display a real-time status of the selected itinerary process using the web server, the caching server, the BAM server, and the message box server. The data resubmit button may be configured to resubmit the selected itinerary process for processing by the message box server beginning at the error step.

Examples of computing task scheduling based on an intrusiveness metric are described. In an example, an intrusiveness metric that indicates an impact of a computing task on performance of a computing device may be determined with an intrusiveness machine learning model. The intrusiveness metric may be sent to a scheduler device to determine distribution of additional computing tasks according to a scheduling machine learning model.