Performance monitoring is an essential prerequisite of successful goal-directed behavior. Research of the last two decades implicates the anterior midcingulate cortex (aMCC) in the human medial frontal cortex and frontostriatal basal ganglia circuits in this function. Here, we addressed the function of the thalamus in detecting errors and adjusting behavior accordingly. Using diffusion-based tr...

Ourmon is an open-source network management and anomaly detection system that has been developed over a period of several years at Portland State University. Ourmon monitors a target network both to highlight abnormal network traffic and measure normal traffic loads. In this paper, we describe the features and performance characteristics of Ourmon. Ourmon features include a novel mechanism for ...

Multiprocessors are often quoted as being capable of a ‘peak performance,’ but in practise it is difficult to utilize this potential. Consequently, software applications must be well tuned to run efficiently. In this thesis, factors affecting performance in cache-coherent multiprocessors, particularly those which use a sequentially-consistent memory model, are analyzed. Cost-effective hardware ...

ATM networks provide end-to-end QoS guarantees to connections for their lifetime in the form of bounds on delays, errors and losses. Performance management involves measurement of these parameters accurately and taking control measures, if required, to improve performance. This is very important for real time connections in which losses are irrecoverable and delays cause interruptions in servic...

Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral...

Performance monitoring hardware is available on most modern microprocessors in the form of hardware counters and other registers that record data about processor events. This hardware may be used in counting mode, in which aggregate event counts are accumulated, and/or in sampling mode, in which time-based or event-based sampling is used to collect profiling data. This paper discusses uses of t...

Usually, in monitoring schemes the nominal value of the process parameter is assumed known. However, this assumption is violated owing to costly sampling and lack of data particularly in healthcare systems. On the other hand, applying a fixed control limit for the risk-adjusted Bernoulli chart causes to a variable in-control average run length performance for patient populations with dissimilar...