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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(3): 203-206 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.385

Toward a New HDFS Functionalities Using a Probabilistic Distributed Algorithm

Ismail Hind and Ali Dahmani
Abstract—Distributed systems are computing systems where a number of components cooperate by communicating over a network. Few systems are still working in a stand-alone system where the user interface, persistent data and applications resided in one computer. However, the majority of nowadays systems are designed to work in distributed systems.
Provide mechanisms for the storage and the manipulation of large amount of data is one of the largest technological challenges in software systems research today. Social media and web services produce an impressive amount of data daily. In this context, Hadoop Distributed file system (HDFS) is an open source software framework for distributed storage and processing of very large data (Big Data).
In this paper we introduce new functionalities for Hadoop Distributed File System using probabilistic distributed algorithms, our proposition is working in both homogenous and heterogeneous HDFS nodes which can reduce the communication cost.

Index Terms—Distributed systems, big data, Hadoop distributed file system, probabilistic distributed algorithms.

The authors are with FS– Abdelmalek Essaâdi University, M’Hannech II 93030 Tetuan, Morocco (e-mail: ismailhind@gmail.com).


Cite: Ismail Hind and Ali Dahmani, "Toward a New HDFS Functionalities Using a Probabilistic Distributed Algorithm," International Journal of Future Computer and Communication vol. 4, no. 3, pp. 203-206, 2015.

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