Maintaining data integrity in cloud systems through version management Online publication date: Mon, 22-Jun-2020
by Tsozen Yeh; Yipin Wang; Yiming Tu
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 34, No. 2, 2020
Abstract: As the era of the big data arrives, the enormous amount of data collected has far exceeded what traditional computer systems can appropriately handle and process. Accordingly, cloud computing has been largely used to facilitate the processing of big data. Often individual data files contain data inserted at different time, which means they have chronological versions of contents since their creation. Hadoop is one of the most popular cloud systems used nowadays. Unfortunately, it does not support efficient schemes to conduct version management for files. Previously, we improved Hadoop by realising autonomous snapshot and extra duplication for files covered in snapshots. In this paper, we report our efforts to design and implement version management for files in snapshots. With the help of autonomous snapshot and extra file duplication, version management can further maintain data integrity for important files contained in snapshots.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook