摘要:
A system, method, and computer program product are described for distinguishing between a computing system that is hung in a hang state and systems that are in an idle or otherwise non-hang state which do not need intervention before regaining the ability to adequately process work. According to some approaches, heuristics are employed to perform hang and idle system detection and validation. Data representative of systems resources are analyzed and transformed in order to identify systems that are in a hang state.
摘要:
A system, method, and computer program product are described for distinguishing between a computing system that is hung in a hang state and systems that are in an idle or otherwise non-hang state which do not need intervention before regaining the ability to adequately process work. According to some approaches, heuristics are employed to perform hang and idle system detection and validation. Data representative of systems resources are analyzed and transformed in order to identify systems that are in a hang state.
摘要:
A computer implemented CPU utilization prediction technique is provided. CPU utilization prediction is implemented described in continuous time as an auto-regressive process of the first order. The technique used the inherent autocorrelation between successive CPU measurements. A specific auto-regression equation for predicting CPU utilization is provided. CPU utilization prediction is used in a computer cluster environment. In an implementation, CPU utilization percentage values are used by a scheduler service to manage workload or the distribution of requests over a vast number of CPUs.