Checkpoint-based Intelligent Fault tolerance For Cloud Service Providers

With the increasing demand and benefits of cloud computing infrastructure, real time computing can be performed on cloud infrastructure. A real time system can take advantage of intensive computing capabilities and scalable virtualized environment of cloud computing to execute real time tasks. In most of the real time cloud applications, processing is done on remote cloud computing nodes. So there are more chances of errors, due to the undetermined latency and loose control over computing node. On the other side, most of the real time systems are also safety critical and should be highly reliable. So there is an increased requirement for fault tolerance to achieve reliability for the real time computing on cloud Infrastructure. In this paper, proposes a smart checkpoint infrastructure for virtualized service providers and fault tolerance model for real time cloud computing. The checkpoints are stored in a Hadoop Distributed File System. This allows resuming a task execution faster after a node crash and increasing the fault tolerance of the system, since checkpoints are distributed and replicated in all the nodes of the provider. This paper presents a running implementation of this infrastructure and its evaluation, demonstrating that it is an effective way to make faster checkpoints with low interference on task execution and efficient task recovery after a node failure.One advantage of cloud computing is the dynamicity of re- source provisioning. Our architecture makes use of this advantage by enabling dynamic run- time modi cations of replication groups