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Partially observable Markov decision processes (POMDPs) provide a rich mathematical model for sequential decision making in partially observable and stochastic environments. Model-free methods use the internal state as a substitute of the belief state which is a sufficient statistic of all past action-observation history in model-based techniques. A main drawback of previous model-free techniques,...
This paper utilizes the co-simulation technology with Motion and AMESim to build the co-simulation life model of a mechanical system and a hydraulic system of an actuator. In the life model, the time-varying oil pressure in the chamber is considered to describe the working condition of the actuator. First, we analyze main failure mechanisms of the actuator system to obtain weaknesses which affects...
In data centers, traffic demand varies in both large and small time scales. A data center with dynamic traffic often needs to over-provision active servers to meet the peak demand, which incurs significant energy cost. In this paper, our goal is to reduce energy cost of a set of distributed Internet data centers (IDCs) while maintaining the quality of service of the dynamic traffic. In particular,...
This paper presents a finite element analysis method and three interval method based on Gaussian distribution to study the computing problems of random vibration fatigue life. First, the finite element model is established in ANSYS WORKBENCH software, and through modal analysis, natural frequencies and corresponding vibration modes of the structure are obtained. Then, through the PSD random vibration...
To reduce datacenter energy consumption and cost, current practice has considered demand-proportional resource provisioning schemes, where servers are turned on/off according to the load of requests. Most existing work considers instantaneous (Internet) requests only, which are explicitly or implicitly assumed to be delay-sensitive. On the other hand, in datacenters, there exist a vast amount of delay-tolerant...
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