doi: 10.7763/IJFCC.2015.V4.385
Toward a New HDFS Functionalities Using a Probabilistic Distributed Algorithm
Ismail Hind
,
- FS– Abdelmalek Essaâdi University, M’Hannech II 93030 Tetuan, Morocco.
Abstract
Distributed systems are computing systems wherea number of components cooperate by communicating over anetwork. Few systems are still working in a stand-alone systemwhere the user interface, persistent data and applicationsresided in one computer. However, the majority of nowadayssystems are designed to work in distributed systems.<br>Provide mechanisms for the storage and the manipulation oflarge amount of data is one of the largest technologicalchallenges in software systems research today. Social media andweb services produce an impressive amount of data daily. In thiscontext, Hadoop Distributed file system (HDFS) is an opensource software framework for distributed storage andprocessing of very large data (Big Data).<br>In this paper we introduce new functionalities for HadoopDistributed File System using probabilistic distributedalgorithms, our proposition is working in both homogenous andheterogeneous HDFS nodes which can reduce thecommunication cost.
Keywords
- Distributed systems
- big data
- Hadoopdistributed file system
- probabilistic distributed algorithms
How to 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. https://doi.org/ 10.7763/IJFCC.2015.V4.385
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).