Abstract: A first execution of an application is performed on a virtual machine. A set of virtual machine parameters associated with the first execution is determined. One or more command lines of the application are mapped to the set of virtual machine parameters. The mapping is stored in a cache. A second execution of the application is performed on the virtual machine. The second execution retrieves the set of virtual machine parameters from the cache.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: A first execution of an application is performed on a virtual machine. A set of virtual machine parameters associated with the first execution is determined. One or more command lines of the application are mapped to the set of virtual machine parameters. The mapping is stored in a cache. A second execution of the application is performed on the virtual machine. The second execution retrieves the set of virtual machine parameters from the cache.

Abstract: Embodiments disclose systems, methods and computer program products to perform an operation for sharing artifacts between instances of an application deployed in a cloud computing environment. The operation generally includes upon determining, during staging of the application, that a set of artifacts are not available for instances of the application to share in the cloud computing environment, generating the set of artifacts via a first application instance, storing the set of artifacts, and requesting a re-staging of the application. The operation also includes during the re-staging of the application, generating a file for deploying scaled instances of the application and packing the stored set of artifacts into the generated file via a second application instance. The operation further includes executing an instance scale out of the application with the generated file comprising the stored set of artifacts.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: A first execution of an application is performed on a virtual machine. A set of virtual machine parameters associated with the first execution is determined. One or more command lines of the application are mapped to the set of virtual machine parameters. The mapping is stored in a cache. A second execution of the application is performed on the virtual machine. The second execution retrieves the set of virtual machine parameters from the cache.

Abstract: A first execution of an application is performed on a virtual machine. A set of virtual machine parameters associated with the first execution is determined. One or more command lines of the application are mapped to the set of virtual machine parameters. The mapping is stored in a cache. A second execution of the application is performed on the virtual machine. The second execution retrieves the set of virtual machine parameters from the cache.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: Embodiments disclose systems, methods and computer program products to perform an operation for sharing artifacts between instances of an application deployed in a cloud computing environment. The operation generally includes upon determining, during staging of the application, that a set of artifacts are not available for instances of the application to share in the cloud computing environment, generating the set of artifacts via a first application instance, storing the set of artifacts, and requesting a re-staging of the application. The operation also includes during the re-staging of the application, generating a file for deploying scaled instances of the application and packing the stored set of artifacts into the generated file via a second application instance. The operation further includes executing an instance scale out of the application with the generated file comprising the stored set of artifacts.

Abstract: Embodiments of the present invention provide memory optimization by phase-dependent data residency. Application programs are profiled a priori or in real time for temporal memory usage. Memory regions such as initialization data are proactively removed from memory when the application transitions to a new phase. A hypervisor monitors application activity and coordinates the removal of memory regions that are no longer needed by the application. Additionally, memory regions that are anticipated to be needed in the future are proactively preloaded.

Abstract: A computer-implemented method for referencing a mutable out-of-line monitor for a shared object in read-only memory, comprising creating a lockword with a pointer field set to zero and a pre-set inflated bit when the object is stored in read-only memory. An out-of-line monitor table is referenced when encountering the lockword with the pointer field set to zero and the pre-set inflated bit. The desired monitor referenced in the out-of-line monitor table is identified based on the address of the lockword.