Poonam Saini

Work place: Punjab Engineering College, Chandigarh, India

E-mail: nit.sainipoonam@gmail.com


Research Interests: Computer systems and computational processes, Autonomic Computing, Systems Architecture, Computer Networks, Distributed Computing


Poonam Saini received her Ph.D. degree in Computer Engineering from National Institute of Technology, Kurukshetra, India in 2013 and M.Tech from UIET, Kurukshetra University, Kurukshetra, India in 2006. She has received B. Tech. in Information Technology from Kurukshetra University, Kurukshetra, India in 2003.

She is currently working as Assistant Professor in Computer Science and Engineering at PEC University of Technology (formerly Punjab Engineering College), Chandigarh, India. Her research interest includes Fault-Tolerant Distributed Computing Systems, Mobile Computing, Ad hoc Networks, Wireless Sensors Networks, Cloud Computing and Security.

Author Articles
A Failure Detector for Crash Recovery Systems in Cloud

By Bharati Sinha Awadhesh Kumar Singh Poonam Saini

DOI: https://doi.org/10.5815/ijitcs.2019.07.02, 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.

[...] Read more.
Other Articles