Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/216407

Title

A novel cost-effective dynamic data replication strategy for reliability in cloud data Centres

Author(s)

Li, Wenhao;  Yang, Yun;  Yuan, Dong

Abstract

Nowadays, large-scale Cloud-based applications have put forward higher demand for storage ability of data centres. Data in the Cloud need to be stored with high efficiency and cost effectiveness while meeting the requirement of reliability. While in current Cloud systems, typical 3-replicas data replication strategies are applied for data reliability, in this paper we propose a novel cost-effective dynamic data replication strategy which facilitates an incremental replication method to reduce the storage cost and meet the data reliability requirement at the same time. This replication strategy works very well especially for data which are only used temporarily and/or have a relatively low reliability requirement. The simulation shows that our replication strategy for reliability can reduce the data storage cost in data centres substantially.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of the 9th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2011), including the 9th International Conference on Pervasive Intelligence and Computing (PICom 2011), the 9th International Symposium on Embedded Computing (EmbeddedCom 2011), the 1st International Conference on Cloud and Green Computing (CGC 2011) and the 1st International Conference on Social Computing and its Applications (SCA 2011), Sydney, New South Wales, Australia, 12-14 December 2011 / Jinjun Chen, Wanchun Dou, Jianxun Liu, Laurence T. Yang and Jianhua Ma (eds.), pp. 496-502

Publication year

2011

Keyword(s)

Cloud computing;  Data centre;  Data reliability;  Data replication

Publisher

IEEE

ISBN

9781467300063, 1467300063

Publisher URL

http://dx.doi.org/10.1109/DASC.2011.95

Copyright

Copyright © 2011 IEEE.

Research Projects

Novel cloud computing based workflow technology for managing large numbers of process instances, Australian Research Council grant number LP0990393
Cost effective storage of massive intermediate data in cloud computing applications, Australian Research Council grant number DP110101340

Peer reviewed