K
Keyan Cao
Researcher at Shenyang Jianzhu University
Publications - 7
Citations - 314
Keyan Cao is an academic researcher from Shenyang Jianzhu University. The author has contributed to research in topics: Cloud computing & The Internet. The author has an hindex of 3, co-authored 7 publications receiving 49 citations.
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An Overview on Edge Computing Research
TL;DR: The concept of edge computing is summarized and compares it with cloud computing, the architecture of edge Computing, keyword technology, security and privacy protection, and the applications are summarized.
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Blockchain-Based Outsourced Storage Schema in Untrusted Environment
TL;DR: A blockchain-based outsourced service framework for storing data replications in untrusted environment and devise a novel concept of verification peer (VP) for maintaining metadata stored by a form of blockchain to prevent metadata from being maliciously tampered with is designed.
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Points-of-Interest Recommendation Algorithm Based on LBSN in Edge Computing Environment
TL;DR: This paper uses the Rank-FBPR matrix decomposition framework based on social network to analyze the user’s personal preference function on the edge server, and proposes a POIs recommendation algorithm that comprehensively considers edge devices and Cloud.
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Social space keyword query based on semantic trajectory
TL;DR: A hybrid index structure that introduces social factors called Social Inverted Linear Quadtree (SIL-Quadtree) to improve the efficiency of SKQT query and shows that the algorithm and index structure proposed in this paper perform better on running time and I/O.
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Efficient Data Collection Method in Sensor Networks
TL;DR: An efficient data collection algorithm based on the position prediction of extreme learning machines is proposed that can effectively avoid the failure of random path node selection and improve the node selection ofrandom path in wireless sensor networks.