Lingfeng Wang

Mr. Lingfeng Wang

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 September 2025 in Expert Systems with Applications
Verified
Journal Article
Closed access
YWYulong Wang
Yulong Wang
QZQingxiao Zheng
Qingxiao Zheng
XLXuedong Li
Xuedong Li
LWLingfeng Wang
Lingfeng Wang
LLLing Lin
Ling Lin

16 March 2023 in Electronics
Verified
Journal Article
Open access
PDF file
QZQingxiao Zheng
Qingxiao Zheng
LWLingfeng Wang
Lingfeng Wang
JHJin He
Jin He
Taiyong LiTaiyong Li
Taiyong Li
With services in cloud manufacturing expanding, cloud manufacturers increasingly use service level agreements (SLAs) to guarantee business processing cooperation between CSPs and CSCs (cloud service providers and cloud service consumers). Although blockchain and smart contract technologies are critical innovations in cloud computing, consensus algorithms in Blockchain as a Service (BaaS) systems often overlook the importance of SLAs. In fact, SLAs play a crucial role in establishing clear commitments between a service provider and a customer. There are currently no effective consensus algorithms that can monitor the SLA and provide service level priority. To address this issue, we propose a novel KNN-based consensus algorithm that classifies transactions based on their priority. Any factor that impacts the priority of the transaction can be used to calculate the distance in the KNN algorithm, including the SLA definition, the smart contract type, the CSC type, and the account type. This paper demonstrates the full functionality of the enhanced consensus algorithm. With this new method, the CSP in BaaS systems can provide improved services to the CSC. Experimental results obtained by adopting the enhanced consensus algorithm show that the SLA is better satisfied in the BaaS systems.
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