Abstract: The disclosed embodiments provide a system that prevents oscillatory load behavior for a multi-node distributed system. During operation, the system uses a load-balancing policy to distribute requests to nodes of the distributed system. The system determines operational characteristics for the nodes as they process a set of requests, and then uses these operational characteristics to compute machine queuing models that describe the machine state of each node. The system then uses this machine state for the nodes to determine whether the load-balancing policy and the distributed system are susceptible to oscillatory load behavior.

Abstract: Systems, methods, and other embodiments associated with adaptively determining a preventive maintenance schedule based on historical system operation are described. The prognostic parameter values are continuously partitioned into a number of operating states based on observed maintenance costs associated with the prognostic parameter values. The operating states range from absolutely healthy, one or more degrees of degradation, to fully degraded. A system cost function is used as the discriminant function. The system cost function is an expected maintenance cost when a given preventive maintenance (PM) schedule is adopted. The system cost function calculates the expected cost based on the observed cost of operation in each of the operating states and a probability of the computing system being in each of the operating states as determined by the PM schedule. The PM schedule that minimizes the cost function is determined to be the optimal PM schedule.

Abstract: Systems, methods, and other embodiments associated with adaptively determining a preventive maintenance schedule based on historical system operation are described. The prognostic parameter values are continuously partitioned into a number of operating states based on observed maintenance costs associated with the prognostic parameter values. The operating states range from absolutely healthy, one or more degrees of degradation, to fully degraded. A system cost function is used as the discriminant function. The system cost function is an expected maintenance cost when a given preventive maintenance (PM) schedule is adopted. The system cost function calculates the expected cost based on the observed cost of operation in each of the operating states and a probability of the computing system being in each of the operating states as determined by the PM schedule. The PM schedule that minimizes the cost function is determined to be the optimal PM schedule.

Abstract: The disclosed embodiments provide a system that prevents oscillatory load behavior for a multi-node distributed system. During operation, the system uses a load-balancing policy to distribute requests to nodes of the distributed system. The system determines operational characteristics for the nodes as they process a set of requests, and then uses these operational characteristics to compute machine queuing models that describe the machine state of each node. The system then uses this machine state for the nodes to determine whether the load-balancing policy and the distributed system are susceptible to oscillatory load behavior.

Abstract: A method for performing server monitoring via condition tracking and state identification of server components. In one embodiment, the method includes continuously monitoring a server, the server having a plurality of components, determining whether a component of the plurality of components has entered a maintenance state, and triggering a maintenance action for the component if it has entered the maintenance state.

Abstract: A method for performing server monitoring via condition tracking and state identification of server components. In one embodiment, the method includes continuously monitoring a server, the server having a plurality of components, determining whether a component of the plurality of components has entered a maintenance state, and triggering a maintenance action for the component if it has entered the maintenance state.