Bharati Sinha

Work place: National Institute of Technology, Kurukshetra, India



Research Interests: Computer systems and computational processes, Autonomic Computing, Distributed Computing, Data Structures and Algorithms


Bharati Sinha received her Bachelor of Technology (B.Tech.) degree in Computer Science Engineering from Bhagalpur College of Engineering, Bhagalpur, Bihar, India in 2010 and her M.Tech. from NIT Rourkela, India in 2012. She joined as Assistant Professor at the Department of Computer Engineering (COE) at the National Institute of Technology, Kurukshetra, India, in 2013 and is pursuing part-time Ph.D. from the Department of Computer Engineering at National Institute of Technology, Kurukshetra, India. Her research interests include cloud computing and distributed systems.

Author Articles
A Failure Detector for Crash Recovery Systems in Cloud

By Bharati Sinha Awadhesh Kumar Singh Poonam Saini

DOI:, Pub. Date: 8 Jul. 2019

Cloud computing has offered remarkable scalability and elasticity to distributed computing paradigm. It provides implicit fault tolerance through virtual machine (VM) migration. However, VM migration needs heavy replication and incurs storage overhead as well as loss of computation. In early cloud infrastructure, these factors were ignorable due to light load conditions; however, nowadays due to exploding task population, they trigger considerable performance degradation in cloud. Therefore, fault detection and recovery is gaining attention in cloud research community. The Failure Detectors (FDs) are modules employed at the nodes to perform fault detection. The paper proposes a failure detector to handle crash recoverable nodes and the system recovery is performed by a designated checkpoint in the event of failure. We use Machine Repairman model to estimate the recovery latency. The simulation experiments have been carried out using CloudSim plus.

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