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Hamid Bagheri
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Computer Science & IT Electrical & Electronics Engineering

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Big Data: challenges, opportunities and Cloud based solutions Hamid Bagheri; Abdusalam Abdullah Shaltooki
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.408 KB) | DOI: 10.11591/ijece.v5i2.pp340-343

Abstract

We are living in an era of information explosion. There are challenges with large and complex amount of data generated every day by social networks, wikis, blogs, emails, traffic system, bridges, airplanes and engine, satellites and weather sensors. 90% of current data in the world has been created in the last two years. Our smart planet becomes more and more intelligent. Besides the challenges posed by such vast amount of data including storage, search, sharing, analysis, and visualization, there are also much opportunities for the world as it becomes more and more digitalized. This study presents Big Data and highlights its key concepts and state-of-the-art implementation as well as research challenges and suggests research directions for future. IT log analytics, Fraud detection pattern, social media pattern and modeling and management patterns are some of opportunities. Hadoop is a cloud based and open source solution for Big Data Analytics which has been written by java. Hadoop solution is currently still immature. In this paper, three topics are suggested for research direction: Security issues in Big Data, context-aware information retrieval, and integrating ontology with Big Data.
Multi-Agent Approach for facing challenges in Ultra-Large Scale systems Hamid Bagheri; Mohammad Ali Torkamani; Zhaleh Ghaffari
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 2: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.562 KB)

Abstract

The primary characteristics of ULS systems are ultra-large size, number of lines of code (LOC); number of people employing the systems; amount of data stored, accessed, manipulated, and refined; number of connections and interdependencies among software components; number of hardware elements. These characteristics of ULS systems make it impossible to rely on our current knowledge and techniques of software development. We will face fundamental challenges in the design and evolution, orchestration and control, and monitoring and assessment of ULS systems. In this paper we try to make a combination between ULS systems and Multi Agent Systems and to use Multi Agent System strengths to help tackling some challenges found in ultra-large scale systems. Banking system is an instance of ULS systems. As a case study, in a real project we have designed Automated Teller Machine (ATM) combination with biometric sensors based on multi-agent architecture.DOI:http://dx.doi.org/10.11591/ijece.v4i2.4102 
Co-Authors Abdusalam Abdullah Shaltooki Mohammad Ali Torkamani Zhaleh Ghaffari