Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session

(CLOUD 2020) A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds

About This Webinar

Abstract: In recent years, many organizations face challenges when managing large amount of data and data-intensive computing tasks. Cloud computing technology has been widely-used to alleviate these challenges with its on-demand services and distributed architecture. Data replication is one of the most significant strategies to decrease the access latency and improve data availability, data reliability and resource utilization by creating multiple data copies to geographically-distributed data centers. When a fault occurs at a data center, existing jobs that require data access in this data center can be redirected to other data centers, where data replicas are available. This paper proposes a utility-based fault handling (UBFH) approach to rescue the jobs at the faulty data center. Then a fault handling algorithm is developed to determine the direction of job redirection by considering the network performance and job attributes. Our main objective is to achieve better repairability, job rescue utility and job operation profit. The simulation results show that our UBFH approach outperforms HDFS, RR and JSQ approaches in all these aspects.

Authors: Fei Xie, Jun Yan and Jun Shen (University of Wollongong, Australia)

Email: fx439@uowmail.edu.au, jyan@uow.edu.au, jshen@uow.edu.au

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Services Society
Fei XIE:

Fei is a current PhD student in University of Wollongong supervised by Associate Professor Jun Yan and Associate Professor Jun Shen.

Fei got his bachelor degree from Heilongjiang University at 2012 and achieved his master degree from University of Wollongong during 2014-2016.

Fei was also a cloud engineer at Gopha Group China during 2012-2014. His repsonsibility is to design and manange the cloud infrastructure and the cloud platforms.

Fei started his PhD degree at 2016. His interested area is data management in the cloud environment including data replication, cloud performance optimization and fault handling.

He has publised 3 papers before and currently works on two ongoing papers on hand.
Hosted By
Services Society webinar platform hosts   (CLOUD 2020) A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds
Services Society's Channel