Data backup scheduling: a queueing-theoretic approach

01 October 2014 → 30 September 2017
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Communications
    • Communications technology
data backup scheduling queueing
Project description

Nowadays, we witness a tremendous growth in data produced and stored. To avoid loss of data, frequent backups should be planned. Due to the enormous amount of data and large number of users, efficient backup scheduling mechanisms are crucial for large companies and in cloud computing. In this project, we develop and evaluate backup scheduling mechanisms by means of a queueing-theoretic approach.