Abstract:
Disclosed are various embodiments for facilitating anticipatory distribution of applications to a network of remote hosts. A demand for each of the applications is calculated. Based on criteria within the demand and computing resources available, remote hosts are selected to receive the applications. Transmissions of the applications to the selected remote hosts are scheduled and monitored for completion according to the schedule.
Abstract:
Disclosed are various embodiments for facilitating load balancing between a first processor and a second processor in at least one computing device. A request is obtained to execute a first application in the at least one computing device. In one embodiment, a second application associated with the first application is assigned to be executed in the second processor instead of the first processor when a resource usage profile associated with the first application indicates that the first application imposes a greater load on the first processor than the second processor. Conversely, the second application is assigned to be executed in the first processor instead of the second processor when the resource usage profile indicates that the first application imposes a greater load on the second processor than the first processor.
Abstract:
Disclosed are various embodiments for facilitating anticipatory distribution of applications to a network of remote hosts. A demand for each of the applications is calculated. Based on criteria within the demand and computing resources available, remote hosts are selected to receive the applications. Transmissions of the applications to the selected remote hosts are scheduled and monitored for completion according to the schedule.
Abstract:
Disclosed are various embodiments for facilitating load balancing between central processing units (CPUs) and graphics processing units (GPUs). A request is obtained to execute a first application in one or more computing devices. In one embodiment, a second application associated with the first application is assigned to be executed in GPUs of the one or more computing devices instead of CPUs of the one or more computing devices when a resource usage profile associated with the first application indicates that the first application imposes a greater CPU load than GPU load. Conversely, the second application is assigned to be executed in the CPUs instead of the GPUs when the resource usage profile indicates that the first application imposes a greater GPU load than CPU load.