NDLI: A Markov Decision Process Approach for Optimal Data Backup Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Ruofan Xia Machida, F. Trivedi, K.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NH, USA (Ruofan Xia; Machida, F.) \|\| Knowledge Discovery Res. Labs., NEC Corp., Kawasaki, Japan (Trivedi, K.)
Abstract	The explosive growth of data generation and increasing reliance of business analysis on massive data make data loss more damaging than ever before. Nowadays many organizations start relying on cloud services for keeping their valuable data. It is a critical issue for cloud service provider to protect the data for individual users securely and effectively. To protect the data in a system with multiple data sources, backup schedule plays an important role for achieving the desired level of data protection while minimizing the impact on system operation. In this paper we investigate the use of Markov Decision Process (MDP) to guide the scheduling of data backup operation and propose a framework to automatically generate an MDP instance from system specifications and data protection requirements. We then demonstrate the benefits of the MDP approach.
Starting Page	660
Ending Page	665
File Size	8771415
Page Count	6
File Format	PDF
ISBN	9781479922338
DOI	10.1109/DSN.2014.100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Markov decision process data backup scheduling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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