KNN-Based Consensus Algorithm for Better Service Level Agreement in Blockchain as a Service (BaaS) Systems

Author:

Zheng Qingxiao1ORCID,Wang Lingfeng1ORCID,He Jin1ORCID,Li Taiyong2ORCID

Affiliation:

1. Industry College of Blockchain, Chengdu University of Information Technology, Chengdu 610225, China

2. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu 611130, China

Abstract

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.

Funder

Ministry of Science and Technology of the People’s Republic of China

Ministry of Education

Sichuan Provincial Department of Education

Social Practice Research for Teachers of Southwestern University of Finance and Economics

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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