Abstract: Software that generates a message containing operations for multiple layers in a multi-layer environment, by performing the following operations: (i) receiving an operation to perform across a multilayer computing environment; (ii) generating a message for performing the operation across the multilayer computing environment, wherein the message includes a plurality of layer portions that include sub-operation(s) of the operation, wherein each layer portion corresponds to a respective layer in the multilayer computing environment; and (iii) orchestrating performance of the operation by sending the message between layers in the multilayer computing environment according to a sequence for performing sub-operation(s) indicated in the message, wherein when the message is located at a respective layer, the layer performs a respective set of sub-operation(s) according to the respectively corresponding layer portion for the layer in the message.

Abstract: In an approach for adjusting an order of actions to process a request, a processor receives a request that includes a set of actions to be performed in a first order. A processor receives monitored information of a service utilized to perform at least one action of the set of actions. A processor compares the monitored information to previously stored information. A processor determines that at least one aspect of the service is experiencing decreased performance based on the comparison. A processor identifies a first action of the set of actions corresponding to the at least one aspect of the service experiencing decreased performance. A processor adjusts the request, such that the request includes the set of actions to be performed in a second order, wherein the second order includes the first action is in a different position. A processor causes the adjusted request to be processed.

Abstract: Software that generates a message containing operations for multiple layers in a multi-layer environment, by performing the following operations: (i) receiving an operation to perform across a multilayer computing environment; (ii) generating a message for performing the operation across the multilayer computing environment, wherein the message includes a plurality of layer portions that include sub-operation(s) of the operation, wherein each layer portion corresponds to a respective layer in the multilayer computing environment; and (iii) orchestrating performance of the operation by sending the message between layers in the multilayer computing environment according to a sequence for performing sub-operation(s) indicated in the message, wherein when the message is located at a respective layer, the layer performs a respective set of sub-operation(s) according to the respectively corresponding layer portion for the layer in the message.

Abstract: Software that generates a message containing program instructions for multiple layers in a multi-layer environment, by performing the following operations: (i) receiving an operation to perform across a multilayer computing environment; (ii) generating a message for performing the operation across the multilayer computing environment, wherein the message includes a plurality of layer portions, wherein each layer portion corresponds to a respective layer in the multilayer computing environment and includes computer program instructions for performing a set of sub-operation(s) of the operation; and (iii) orchestrating, by one or more processors, performance of the operation by sending the message between layers in the multilayer computing environment, wherein when the message is located at a respective layer, the layer performs its respective set of sub-operation(s) according to the computer program instructions included in the layer's respectively corresponding layer portion of the message.

Abstract: Software that dynamically updates virtual machine templates at deterministic intervals in order to reduce patching time, by performing the following operations: (i) identifying a virtual machine (VM) provisioned according to a first VM template; (ii) initiating a patching process that applies a set of patch(es) to the VM, thereby creating a patched VM; (iii) determining that an amount of time taken to complete the patching process is greater than a predetermined threshold; and (iv) responsive to determining that the amount of time taken to complete the patching process is greater than the predetermined threshold, generating a second VM template based, at least in part, on the patched VM.

Abstract: Software that dynamically updates virtual machine templates at deterministic intervals in order to reduce patching time, by performing the following operations: (i) identifying a virtual machine (VM) provisioned according to a first VM template; (ii) initiating a patching process that applies a set of patch(es) to the VM, thereby creating a patched VM; (iii) determining that an amount of time taken to complete the patching process is greater than a predetermined threshold; and (iv) responsive to determining that the amount of time taken to complete the patching process is greater than the predetermined threshold, generating a second VM template based, at least in part, on the patched VM.

Abstract: Software that generates a message containing program instructions for multiple layers in a multi-layer environment, by performing the following operations: (i) receiving an operation to perform across a multilayer computing environment; (ii) generating a message for performing the operation across the multilayer computing environment, wherein the message includes a plurality of layer portions, wherein each layer portion corresponds to a respective layer in the multilayer computing environment and includes computer program instructions for performing a set of sub-operation(s) of the operation; and (iii) orchestrating, by one or more processors, performance of the operation by sending the message between layers in the multilayer computing environment, wherein when the message is located at a respective layer, the layer performs its respective set of sub-operation(s) according to the computer program instructions included in the layer's respectively corresponding layer portion of the message.

Abstract: In an approach for adjusting an order of actions to process a request, a processor receives a request that includes a set of actions to be performed in a first order. A processor receives monitored information of a service utilized to perform at least one action of the set of actions. A processor compares the monitored information to previously stored information. A processor determines that at least one aspect of the service is experiencing decreased performance based on the comparison. A processor identifies a first action of the set of actions corresponding to the at least one aspect of the service experiencing decreased performance. A processor adjusts the request, such that the request includes the set of actions to be performed in a second order, wherein the second order includes the first action is in a different position. A processor causes the adjusted request to be processed.

Abstract: Embodiments of the invention relate to dynamically assessing and managing probing of a system for resource availability. A predicted resource usage pattern is acquired, and critical points in the pattern pertaining to predicted changes in resource consumption are identified. Probing the system for resource availability is limited to the identified critical points, or to real-time changes in the resource usage pattern.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems. In one embodiment, inadequate system resources and failure of a job execution on the computing system may be predicted. A determination may be made as to whether inadequate resources exist prior to execution of the job, and resource requirements may be monitored to detect in real time if inadequate resources will be encountered during the job execution for cases where, for example, resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the job may be paused and corrective action may be taken or a user may be alerted. The job may resume after the resource deficiency is met. Additional embodiments may integrate resource monitoring with the adaptive selection of a computer system or application execution environment based on resource capability predictions and benchmarks.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems are disclosed herein. In one embodiment, a real time, self-predicting job resource monitor is employed to predict inadequate system resources on the computing system and failure of a job execution on the computing system. This monitor may not only determine if inadequate resources exist prior to execution of the job, but may also detect in real time if inadequate resources will be encountered during the execution of the job for cases where resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the system may pause the job and automatically take corrective action or alert a user. The job may resume after the resource deficiency is met.

Abstract: Embodiments of the invention relate to dynamically assessing and managing probing of a system for resource availability. A predicted resource usage pattern is acquired, and critical points in the pattern pertaining to predicted changes in resource consumption are identified. Probing the system for resource availability is limited to the identified critical points, or to real-time changes in the resource usage pattern.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems. In one embodiment, inadequate system resources and failure of a job execution on the computing system may be predicted. A determination may be made as to whether inadequate resources exist prior to execution of the job, and resource requirements may be monitored to detect in real time if inadequate resources will be encountered during the job execution for cases where, for example, resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the job may be paused and corrective action may be taken or a user may be alerted. The job may resume after the resource deficiency is met. Additional embodiments may integrate resource monitoring with the adaptive selection of a computer system or application execution environment based on resource capability predictions and benchmarks.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems are disclosed herein. In one embodiment, a real time, self-predicting job resource monitor is employed to predict inadequate system resources on the computing system and failure of a job execution on the computing system. This monitor may not only determine if inadequate resources exist prior to execution of the job, but may also detect in real time if inadequate resources will be encountered during the execution of the job for cases where resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the system may pause the job and automatically take corrective action or alert a user. The job may resume after the resource deficiency is met.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: A method and apparatus are disclosed for providing an inline data service within a data processing system coupled to a communications network. The data processing system includes a host memory. According to the present invention, the apparatus comprises an adapter memory for temporarily storing data communicated between the data processing system and the communications network and a memory access controller, which controls transfers of data between the adapter memory and the host memory. The apparatus further includes means for selectively performing a data transformation on data transferred between the adapter memory and the host memory, wherein the data transformation is performed during a transfer of the data such that data communication latency is reduced. In a second preferred embodiment of the present invention, a multibus data processing system has a processor and a first memory coupled to a first bus and a second memory coupled to a second bus.

Abstract: A large communications network is linked to a primary terminal and a secondary terminal. The primary polls the secondary whenever it has data to send, and need not poll at any maximum fixed interval. The poll operation sends a sequence of data frames to the secondary, and causes the secondary to return to the primary a sequence of frames containing any data it may have ready. The secondary can only send data to the primary in response to a poll operation; however, the secondary has the capability of sending a uniquely identifiable frame on its own initiative whenever it has data ready to send and has not received a poll. This frame causes the primary to initiate a normal poll even though it has no data ready to send.