Features Selection For Efficient Data Center Disaster Management Approach
DOI:
https://doi.org/10.11113/sh.v9n1-4.1124Keywords:
Data center, threats, disaster management, features of DCDMAbstract
Data center is a place where a lot of data and information stored together. Pooling all data in one large place called data center will make management work become complex and hard to be manage. Threats become one major problem which can cause disaster to data center. Disaster management is one important step that need to be done in reducing disaster impact and disaster loss when threats attacked or strike to data center. This paper presents on features selection for efficient Data Center Disaster Management (DCDM) approach as one propose solution. The features of disaster management is listed and compared in evaluating the suitable DCDM mechanism to improve the previous disaster management processes. Based on all selected features, a comparison of features from existing DCDM approach are analyzed and the selected features was identified toward a better development of the new DCDM approach.Â
References
Belady, C. (2007). In the Data Center, Power and Cooling Costs More Than the IT Equipment It Supports. Electronics Cooling, 1(13).
Bullock, M. (2009). Data Center Definition and Solutions. Retrieved from http://www.cio.com/article/2425545/data-center/data-center-definition-and-solutions.html
Cowan, C. and Gaskins, C. (2011). Monitoring Physical Threats in the Data Center. White Paper 102, Revision 3.
Harizopoulos, S. holy Shah, M.A. Meza, J. Ranganathan, P. (2009). Energy Efficiency: The New Grail of Data Management Systems Research. Conference on Innovative Data Systems Research.
Hristidis, V. Chen, S. Li, T. Luis, S. and Deng, Y. (2010). Survey of Data Management and Analysis in Disaster Situations. The Journal of Systems and Software, 83, 1701–1714.
Juniper Networks. (2013). Cloud-Ready Data Center Reference Architecture. Juniper Networks.
Kant, K. (2009). Data Center Evolution A Tutorial on State of the Art , Issues , and Challenges. Computer Networks, 53(17), 2939–2965.
