Title: Service composition optimisation of virtual resource allocation management in the cloud environment based on green scheduling

Authors: Xin Sui; Dan Liu; Honghua Xu; Chunhui Zhao; Shaojie Ma

Addresses: Vocational and Adult Education Research and Training College, Jilin Provincial Institute of Education, Changchun 130022, Jilin, China ' College of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Jilin, China ' College of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Jilin, China ' College of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Jilin, China ' College of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Jilin, China

Abstract: Service combinatorial optimisation is one of the key issues of green resource supply in a cloud environment. During the execution process of service composition, service composition fails due to compatibility, resource competition, failure, and other reasons between sub-services. To solve the above problems, this paper focuses on the service combinatorial optimisation problem in green cloud computing resource supply. It proposes a service combinatorial optimisation model based on layered coloured Petri nets (LCPN). The service composition process meets the functional attributes of user needs and focuses on non-functional attributes such as service quality and execution time. It can dynamically adjust the service composition scheme to ensure feasibility and business logic compatibility. The experimental results show that the service combination scheme considering atomic service quality and virtual machine processing capability has the highest average comprehensive index value, 12.09% higher than the scheme considering only one factor. In handling concurrent events, the LCPN network can allocate resources reasonably, ensuring the compatibility of message interaction between various modules and the business logic of various transactions.

Keywords: service composition; Petri net; quality of service; QoS.

DOI: 10.1504/IJSNET.2023.134907

International Journal of Sensor Networks, 2023 Vol.43 No.3, pp.158 - 171

Received: 01 Sep 2023
Accepted: 07 Sep 2023
Published online: 16 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article