@inproceedings{9cbc01f4ff474a228480b8b4f3bfb56f,
title = "Cost reduction for data allocation in heterogenous cloud computing using dynamic programming",
abstract = "Heterogeneous clouds are helpful for improving performance when the data processing task becomes a challenge in big data within different operating environment. Non-distributive manner has some limitation, such as overload energy and low performance resource allocation mechanism. This paper address on this issue and propose an approach to find out the optimal data allocation plan for minimizing total costs of the distributed heterogeneous cloud memories in mobile cloud systems. In this paper, we propose a novel approach to find out the optimal data allocation plan to reduce data processing cost through heterogeneous cloud memories for efficient MaaS. The experimental results proved that our approach is an effective mechanism.",
keywords = "Cost reduction, Data allocation, Dynamic programming, Heterogenous cloud computing",
author = "Hui Zhao and Meikang Qiu and Keke Gai and Jie Li and Xin He",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Conference on Smart Computing and Communication, SmartCom 2016 ; Conference date: 17-12-2016 Through 19-12-2016",
year = "2017",
doi = "10.1007/978-3-319-52015-5_1",
language = "English",
isbn = "9783319520148",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1--11",
editor = "Meikang Qiu",
booktitle = "Smart Computing and Communication - 1st International Conference, SmartCom 2016, Proceedings",
address = "Germany",
}