Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization

Abstract

The Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades has several research projects related to computer science needing high computational resources. Some of these projects are associated with climate prediction, molecule modeling, physical simulations, and others these applications generate a significant amount of data, regarding the big data issue, despite having excellent hardware features, the final result is obtained after hours or days of calculation depending on the algorithm complexity. For this reason, it is not possible to present optimal solutions at an ideal time. .In this work, we propose the virtualization and configuration of a high-performance cluster (HPC) known commercially as a "supercomputer" that is composed of several computers connected to a high-speed network to behave like a single computer. The virtualization is used to run a scientific algorithm that will apply performance tests using four virtual computers to demonstrate that the reduction of time is achieved by using more machines and thus be able to be implemented in the laboratories of the institution.

Authors and Affiliations

Enrique Lee HuamanĂ­, Patricia Condori, Avid Roman-Gonzalez

Keywords

Related Articles

An Integrated Architectural Clock Implemented Memory Design Analysis

Recently Low power consumption and Custom Memory design is major issue for embedded designer. Micro wind and Xilinx simulator implements SRAM design architecture and performs efficient simulation. These simulators implem...

A Novel Algorithm to Improve Resolution for Very Few Samples

This paper presents a new technic to improve resolution and direction of arrival (DOA) estimation of two closed source, in array processing, when only few samples of received signal are available. In these conditions, th...

Secure and Efficient Routing Mechanism in Mobile Ad-Hoc Networks

Securing crucial information is always considered as one of the complex, critical, and a time-consuming task. This research investigates a significant threat to the security of a network, i.e., selective forwarding attac...

Evaluating Factors for Predicting the Life Dissatisfaction of South Korean Elderly using Soft Margin Support Vector Machine based on Communication Frequency, Social Network Health Behavior and Depression

Since health and the quality of life are caused not by a single factor but by the interaction of multiple factors, it is necessary to develop a model that can predict the quality of life using multiple risk factors rathe...

The Application of Fuzzy Control in Water Tank Level Using Arduino

Fuzzy logic control has been successfully utilized in various industrial applications; it is generally used in complex control systems, such as chemical process control. Today, most of the fuzzy logic controls are still...

Download PDF file
  • EP ID EP597499
  • DOI 10.14569/IJACSA.2019.0100679
  • Views 89
  • Downloads 0

How To Cite

Enrique Lee HuamanĂ­, Patricia Condori, Avid Roman-Gonzalez (2019). Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization. International Journal of Advanced Computer Science & Applications, 10(6), 618-622. https://europub.co.uk/articles/-A-597499