A review: Distributed file system

The most common file system can be noted Google File System (GFS) and Hadoop Distributed File System (HDFS). In this paper, we present a review on design of distributed file system. File systems compared by scalability, availability, compatibility, extensibility, autonomy and etc. | International Journal of Computer Networks and Communications Security VOL. 3, NO. 5, MAY 2015, 229–234 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) A REVIEW: Distributed File System Shiva Asadianfam1, Mahboubeh Shamsi2 and shahrad kashany3 1, 3 Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran 2 Department of Electrical & Computer Engineering, Qom University of Technology, Qom, Iran E-mail: 1sh_asadianfam@, 2mahboubehshamsi@, ABSTRACT Data collection in the world are growing and expanding. This capability, it is important that the infrastructure must be able to store a huge collection of data on their number grows every day. The conventional methods are used in data centers for capacity building, costs of software, hardware and management of this process will be very high, today. File system architecture is that, independent of the data stored in its metadata. All of Distributed File System (DFS) are used for processing, storing and analyzing very large amount of unstructured data. The most common file system can be noted Google File System (GFS) and Hadoop Distributed File System (HDFS). In this paper, we present a review on design of distributed file system. File systems compared by scalability, availability, compatibility, extensibility, autonomy and etc. Keywords: Distributed File System, Big Data, Design of DFS, Hadoop Distributed File System(HDFS), Google File System(GFS), Review of DFS. 1 INTRODUCTION In these years, increasing number of organizations are facing the problem of explosion of data and the size of the databases used in today’s enterprises has been growing at exponential rates[1]. Data is generated through many sources like business processes, transactions, social networking sites, web servers, etc. and remains in structured as well as unstructured form [2]. The need for such a level of scalability and increasing .

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