Data Management Model for Internet of Everything

Author(s):  
Lulwah AlSuwaidan
Author(s):  
Wei Zhuo ◽  
Zhichao He ◽  
Mengying Zheng ◽  
Beichen Hu ◽  
Ruijuan Wang

2015 ◽  
Author(s):  
Gholam Shaykhian ◽  
Mohd Khairi ◽  
Jinan Ziade

Author(s):  
Xudong Cao ◽  
Huifen Xu ◽  
Yuntao Ma ◽  
Bin Xu ◽  
Jin Qi

2016 ◽  
pp. 1205-1222
Author(s):  
Mohammed A. AlZain ◽  
Alice S. Li ◽  
Ben Soh ◽  
Eric Pardede

Cloud computing is a phenomenal distributed computing paradigm that provides flexible, low-cost on-demand data management to businesses. However, this so-called outsourcing of computing resources causes business data security and privacy concerns. Although various methods have been proposed to deal with these concerns, none of these relates to multi-clouds. This paper presents a practical data management model in a public and private multi-cloud environment. The proposed model BFT-MCDB incorporates Shamir's Secret Sharing approach and Quantum Byzantine Agreement protocol to improve trustworthiness and security of business data storage, without compromising performance. The performance evaluation is carried out using a cloud computing simulator called CloudSim. The experimental results show significantly better performance in terms of data storage and data retrieval compared to other common cloud cryptographic based models. The performance evaluation based on CloudSim experiments demonstrates the feasibility of the proposed multi-cloud data management model.


2010 ◽  
Vol 121-122 ◽  
pp. 198-203
Author(s):  
Yan Chun ◽  
Sheng Xi Li ◽  
Ya Zhou Li

As hierarchical storage is one of the highlights in researching and realizing of mass data storage, this paper mainly describes a study on data storage structure, evaluation of data importance and data management model of hierarchical storage.


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