We study the problem of distributed, self-interested agents searching for high-quality service providers where the performance of a service provider depends on its work load. Agents use referrals from peers to locate satisfactory providers. While stable environments may facilitate fast convergence to satisfiying states, greedy and myopic behaviors by distributed agents can lead to poor and vari...

the hop-normalized metric is better able to route real time traffic away from congested links thus providing better performance to satisfy real time services requirements.

The performance prediction of axial flow compressors at different speeds and under various pressure ratio conditions are still being developed because of costly empirical experiments. One-dimensional modeling is a simple, fast and accurate method for performance prediction in any type of compressor with different geometries. In this approach, inlet flow conditions and compressor geometry are kn...

this study aimed to assess the quality of persian translation of orwell's (1949) nineteen eighty-four by balooch (2004) based on house's (1997) model of translation quality assessment. to do so, 23 pages (about 10 percent) of the source text were randomly selected. the profile of the source text register was produced and the genre was realized. the source text profile was compared to the transl...

Scalability and performance are critical quality attributes of applications developed for the cloud. Many of these applications have to support hundreds or thousands of concurrent users with strongly fluctuating workloads. Existing approaches for software performance evaluation do not address the new challenges that arise for applications executed in cloud computing environments. The effects of...

Investment casting is a versatile manufacturing process to produce high quality parts with high dimensional accuracy. The process begins with the manufacture of wax patterns. The dimensional accuracy of the model affects the quality of the finished part. The present study investigated the control and optimization of dimensional deviations in wax patterns. A mold for an H-shaped wax pattern was ...

Dimension reduction is important during the analysis of gene expression microarray data, because the high dimensionality of data sets hurts the generalization performance of classifiers. Partial Least Squares (PLS) based dimension reduction is a frequently used method, since it is specialized in handling high dimensional data set and leads to satisfying classification performance. This paper in...

pore network modeling uses a network of pores connected by throats to model the void space of a porous medium and tries to predict its various characteristics during multiphase flow of various fluids. in most cases, a non-realistic regular lattice of pores is used to model the characteristics of a porous medium. although some methodologies for extracting geologically realistic irregular network...

Images and videos are subject to a wide variety of distortions during acquisition, digitizing, processing, restoration, compression, storage, transmission and reproduction, any of which may result in degradation in visual quality. That is why image quality assessment plays a major role in many image processing applications. Image and video quality metrics can be classified by using a number of ...

This paper proposes a simulation framework called the loading region for the performance evaluation of admission control policies for high speed networks. The loading region provides a means to assess the performance characteristics of an admission control policy in terms of its sensitivity to traac mix, traf-c characteristics, cell loss constraints, and cell delay constraints. The loading regi...