Prediction and monitoring agents using weblogs for improved disaster recovery in cloud

Автор: Rushba Javed, Sidra Anwar, Khadija Bibi, M. Usman Ashraf, Samia Siddique

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 4 Vol. 11, 2019 года.

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Disaster recovery is a continuous dilemma in cloud platform. Though sudden scaling up and scaling down of user’s resource requests is available, the problem of servers down still persists getting users locked at vendor’s end. This requires such a monitoring agent which will reduce the chances of disaster occurrence and server downtime. To come up with an efficient approach, previous researchers’ techniques are analyzed and compared regarding prediction and monitoring of outages in cloud computing. A dual functionality Prediction and Monitoring Agent is proposed to intelligently monitor users’ resources requests and to predict coming surges in web traffic using Linear Regression algorithm. This solution will help to predict the user’s future requests’ behavior, to monitor current progress of resources’ usage, server virtualization and to improve overall disaster recovery process in Cloud Computing.

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Cloud Computing, Disaster, Prediction, Monitoring, Disaster Recovery, Prediction Agent, Monitoring Agent, Monitoring and Prediction using Weblog, Server virtualization, Monitor Downtime, Optimize Recovery time

Короткий адрес: https://sciup.org/15016348

IDR: 15016348 | DOI: 10.5815/ijitcs.2019.04.02

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