The Modeling of Cloud Serves Computing Search Algorithm for Big Data
- https://doi.org/10.2991/icmra-15.2015.279How to use a DOI?
- Cloud Serves Computing Search; Serve matrix reckoning; IRICP; range cloud data; Generalized Walsh Spectrum
To solve the problem of reckoning the Cloud Serves Computing Search in cloud serve arithmetic linear analysis, the paper has proposed a search method and ameliorated arithmetic based on foliation related iterative intimates speck (IRICP) of the maximum deviation. The cloud data and its coefficient matrix is filiationized as range cloud data matrix, using IRICP arithmetic to reckon the best aligning state of adjacent range cloud data, and the serves property quotation of disc function transformation of this time was proved to be the Cloud Serves Computing Search by applying generalized Walsh spectrum; by proposing the foliation rule homolog using interval, determined the foliation homolog using nexus of iterative arithmetic, each disc of transformation matrix would be assigned to the next disc as the foliation transformation matrix which has ameliorated the marry speed of the IRICP arithmetic; the rationality and availabilities of this new search arithmetic can be proved by comparing with the Cloud Serves Computing Search arithmetic put forward by Matsui.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ning Tang AU - Shunzhi Zhu AU - Lizhao Liu AU - Jiangshui Hong AU - Lili Liu PY - 2015/04 DA - 2015/04 TI - The Modeling of Cloud Serves Computing Search Algorithm for Big Data BT - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SP - 1441 EP - 1445 SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.279 DO - https://doi.org/10.2991/icmra-15.2015.279 ID - Tang2015/04 ER -