Cloud Computing is an emerging technology for processing and storing very large amounts of data. Sometimes anomalies and defects affect part of the cloud infrastructure, resulting in a performance degradation of the cloud. This paper proposes a performance measurement framework for Cloud Computing systems, which integrates software quality concepts from ISO 25010

Abstract:Hadoop is a set of utilities and frameworks for the development and storage of distributed applications in cloud computing, the core component of which is the Hadoop Distributed File System (HDFS). NameNode is a key element of its architecture, and also its "single point of failure". To address this issue, we propose a replication mechanism that will protect the NameNode data in case of failure. The proposed solution involves two distinct components: the creation of a BackupNode cluster that will use a leader election function to replace the NameNode, and a mechanism to replicate and synchronize the file system namespace that is used as a recovery point.