In HDFS, the Namenode handles all the metadata about the files. Client contacts the Namenode for accessing any file to get its mapping to the blocks on Datanodes. Namenode has to store this data in its RAM to allow faster access to clients on their requests. Hence HDFS Datanodes’ metadata is restricted by the capacity of the RAM. This makes the Namenode as the single point of failure in HDFS. In our approach we present multiple Namenodes with distributed namespace using Chord protocol. Multiple Namenodes will be arranged in Chord ring to provide scalable and fault tolerant architecture in HDFS.
Chord DHT, HDFS, MLT, Namenode.
 Towards a scalable HDFS architecture, Farag Azzedin IEEE 2013.
 Load rebalancing for Distributed File System in Clouds, IEEE transactions on Parallel and distributed system.
 ALDM: Adaptive Loading Data Migration in Distributed File System, IEEE transactions 2013.
 Chord: A Scalable Peer-to-peer Lookup Protocol for Internet Applications.
 Classification based Metadata Management for HDFS, 2012 IEEE 14th International Conference on High Performance Computing and Communications.
 A Novel Blocks Placement Strategy for Hadoop, 2012 IEEE/ACIS 11th International Conference on Computer and Information Science.
 From Backup to Hot Standby: High Availability for HDFS,2012 31st International Symposium on Reliable Distributed Systems
 An Adaptive Feedback Load Balancing Algorithm in HDFS, 2013 5th International Conference on Intelligent Networking and Collaborative Systems
 NCluster: Using Multiple Active Namenodes toAchieve High Availability for HDFS , 2013 IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing