Using multiple feedback loops for object profiling, scheduling and migration in soft real-time distributed object systems

Complex soft real time distributed object systems require object profiling, scheduling and migration algorithms to respond to transient changes in the load or in the availability of the resources. We have developed a resource management system for a soft real time distributed object system that is based on a three level feedback loop which employs a profiling algorithm that monitors the usage of the resources, a least laxity scheduling algorithm that schedules the tasks, and hot spot and cooling algorithms that allocate and migrate objects to balance the load on the resources. The resource management system consists of a single (but possibly replicated and distributed) resource manager, and profilers and schedulers located on each of the processors in the distributed system