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

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.