List of Articles ehsan arianyan

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  1 - Presenting a novel solution to choose a proper database for storing big data in national network services
  Mohammad Reza Ahmadi davood maleki ehsan arianyan
  The increasing development of tools producing data in different services and the need to store the results of large-scale processing results produced from various activities in the national information network services and also the data produced by the private sector an More

  The increasing development of tools producing data in different services and the need to store the results of large-scale processing results produced from various activities in the national information network services and also the data produced by the private sector and social networks, has made the migration to new databases solutions with appropriate features inevitable. With the expansion and change in the size and composition of data and the formation of big data, traditional practices and patterns do not meet new requirements. Therefore, the necessity of using information storage systems in new and scalable formats and models has become necessary. In this paper, the basic structural dimensions and different functions of both traditional databases and modern storage systems are reviewed and a new technical solution for migrating from traditional databases to modern databases is presented. Also, the basic features regarding the connection of traditional and modern databases for storing and processing data obtained from the comprehensive services of the national information network are presented and the parameters and capabilities of databases in the standard and Hadoop context are examined. In addition, as a practical example, a solution for combining traditional and modern databases has been presented, evaluated and compared using the BSC method. Moreover, it is shown that in different data sets with different data volumes, a combined use of both traditional and modern databases can be the most efficient solution. Manuscript profile
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  2 - High Performance Computing: Next Generation Requirements and Research Axes
  ehsan arianyan MohammadMahdi Esnaashari Fatemeh Ehsani Boshla Shaghayeghsadat Hossieni bayan Masoud Dehyadegari Behnam Samadi
  20.1001.1.27170411.1401.14.51.13.9
  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth scien More

  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth sciences, cosmology, fluid dynamics, and plasma modeling, to name a few. Next generation of supercomputers can be divided into two broad categories: 1) emerging technologies such as neuromorphic and quantum computing and 2) Exascala computing. Emerging technologies will be the future of supercomputing, however, not in a very recent future. Therefore, in this paper, we have focused on Exascale computing, and have tried to provide a comprehensive overview of the main requirements for this technology to be achieved and become available. Requirements have been overviewed from different aspects; hardware, software, artificial intelligence, and cloud computing. In addition, we have attempted to provide a complete taxonomy of hot research topics within this area. Manuscript profile
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  3 - Emerging technologies in future generations of high performance computing: introduction, taxonomy and future research directions
  mahmood nematollahzadeh ehsan arianyan Masoud Hayeri Khyavi niloofar gholipoor abdollah sepahvand
  20.1001.1.27170411.1402.15.55.2.3
  Due to the rapid growth of science and technology, their need for high performance computing is increasing everyday. So far, the majority of the world's high performance computing needs have been based on conventional silicon-based technologies, but the end of the age o More

  Due to the rapid growth of science and technology, their need for high performance computing is increasing everyday. So far, the majority of the world's high performance computing needs have been based on conventional silicon-based technologies, but the end of the age of silicon-based technologies is near, and this fact has led scientists to use emerging technologies such as quantum computing, bio computing, optical computing and similar technologies. Although some of these technologies are not new and the initial introduction of some of them dates back to some decades ago, but due to the attractiveness of classical silicon-based computing and the speed of development in it, have been neglected to date. However, recently, these technologies have begun to be used to build scalable high performance computers. In this paper, we introduce these technologies and how they participate in the field of high performance computing, their current and future status, and their challenges. Also, the taxonomy related to each of these technologies from the computational point of view as well as their research topics are presented, which can be utilized for future research in this field. Manuscript profile
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  4 - Providing a New Solution in Selecting Suitable Databases for Storing Big Data in the National Information Network
  Mohammad Reza Ahmadi davood maleki ehsan arianyan
  The development of infrastructure and applications, especially public services in the form of cloud computing, traditional models of database services and their storage methods have faced sever limitations and challenges. The increasing development of data service produ More

  The development of infrastructure and applications, especially public services in the form of cloud computing, traditional models of database services and their storage methods have faced sever limitations and challenges. The increasing development of data service productive tools and the need to store the results of large-scale processing resulting from various activities in the national network of information and data produced by the private sector and pervasive social networks has made the process of migrating to new databases with appropriate features inevitable. With the expansion and change in the size and composition of data and the formation of big data, traditional practices and patterns do not meet new needs. Therefore, it is necessary to use data storage systems in new and scalable formats and models. This paper reviews the essential solution regarding the structural dimensions and different functions of traditional databases and modern storage systems and technical solutions for migrating from traditional databases to modern ones suitable for big data. Also, the basic features regarding the connection of traditional and modern databases for storing and processing data obtained from the national information network are presented and the parameters and capabilities of databases in the standard platform context and Hadoop context are examined. As a practical example, a combination of traditional and modern databases using the balanced scorecard method is presented as well as evaluated and compared. Manuscript profile