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Learning Convolutional Ranking-Score Function by Query Preference Regularization Read chapter Read first chapter

2017 | OriginalPaper | Chapter

An Investment Defined Transaction Processing Towards Temporal and Spatial Optimization with Collaborative Storage and Computation Adaptation

Authors : Yucong Duan, Lixu Shao, Xiaobing Sun, Donghai Zhu, Xiaoxian Yang, Abdelrahman Osman Elfaki

Published in: Intelligent Data Engineering and Automated Learning – IDEAL 2017

Publisher: Springer International Publishing

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Abstract

Transaction processing technology is the key technology of reporting information consistency and reliability, and determines whether web services can be applied to e-commerce. We propose an investment defined transaction processing approach towards temporal and spatial optimization with collaborative storage and computation adaptation approach aiming at satisfying requirements of different users according to their investment. We studies resource modelling, resource processing, processing optimization and resource management and puts forward a three-tier architecture consisting of Data Graph, Information Graph and Knowledge Graph.

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previous chapter A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph
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Metadata
Title
An Investment Defined Transaction Processing Towards Temporal and Spatial Optimization with Collaborative Storage and Computation Adaptation
Authors
Yucong Duan
Lixu Shao
Xiaobing Sun
Donghai Zhu
Xiaoxian Yang
Abdelrahman Osman Elfaki
Copyright Year
2017
Book
Intelligent Data Engineering and Automated Learning – IDEAL 2017

Print ISBN: 978-3-319-68934-0

Electronic ISBN: 978-3-319-68935-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68935-7_49

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