Efficient system for CPU metric visualization

Energy-efficient CPU frequency control for the Linux system

Visualization methods for metric studies

Metric studies are based on complex, voluminous and heterogeneous data. In order to obtain meaningful results, human guided analysis is therefore needed and can be achieved with information visualization methods. In this paper, we survey visualization methods traditionally used in informetrics and present recent achievements in this domain. We also outline some potentially interesting visualiza...

An Efficient CPU Architecture for DSP Processors

Design narrative of an efficient CPU architecture dedicated to UTS-DSP (University of Tehran and Iran Communication Industries(SAMA) DSP) [1]-[10] is reported. Time and area consuming, the CPU architecture is a critical component of the overall architecture, which is responsible for execution of arithmetic and logical operations. The goal is composing an optimized hardware appropriate for execu...

A Salience-based Quality Metric for Visualization

Salience detection is a principle mechanism to facilitate visual attention. A good visualization guides the observer’s attention to the relevant aspects of the representation. Hence, the distribution of salience over a visualization image is an essential measure of the quality of the visualization. We describe a method for computing such a metric for a visualization image in the context of a gi...

Tuning Hadoop Map Slot Value Using CPU Metric

Hadoop is a widely used open source mapreduce framework. Its performance is critical because it increases the usefulness of products and services for a large number of companies who have adopted Hadoop for their business purposes. One of the configuration parameters that influences the resource allocation and thus the performance of a Hadoop application is map slot value (MSV). MSV determines t...