Abstract
Edge services are transferred data processing, application running, and implementation of some functional services from cloud central server to network edge server to provide services. Combined edge service can effectively reduce task computation in the cloud, shorten transmission distance of processing data, quickly decompose task of service request, and select the optimal edge service combination to provide service for users. BAS is an efficient intelligent optimization algorithm, which can achieve efficient optimization and neither need to know the specific form of function nor need gradient information. This paper designs an edge service composition model based on edge computing and proposes a method about edge service composition by BAS optimization algorithm. Our proposed method has obvious advantages in service composition efficiency compared with service composition method based on PSO or WPA heuristic algorithm. Compared with cloud service composition method, our proposed method has advantages of shorter service response time, low cost, and high quality of user experience.
Highlights
In recent years, researchers and scholars have made some achievements in research of QoS optimized service composition methods
We propose an edge service composition model based on edge computing and propose an edge service composition method based on Beetle antenna search (BAS) optimization algorithm
An edge service composition model based on edge computing is designed, and an optimization method for edge service composition based on beetle antenna search algorithm is proposed
Summary
Researchers and scholars have made some achievements in research of QoS optimized service composition methods. Computational Intelligence and Neuroscience proposed a comprehensive Web service composition method combined global optimization and local selection technology. It used mixed-integer programming method to search global QoS constrained optimal solution under local constraints by local selection generated local optimal Web service. Considering multidimensional nonfunctional characteristic attribute of service QoS, some scholars modeled QoS-aware service composition problem based on workflow as a multiobjective optimization problem [16, 17], which uses intelligent algorithms to solve and generate optimal composite service. Compared with particle swarm optimization (PSO), BAS only needs one beetle, which can reduce computational burden greatly It does not know where food is when beetle foraging, but it can find food based on concentration of the food smell. Beetle antenna search (BAS) algorithm [24] is proposed in 2017 (Jiang and Li), which has a more concise search strategy based on the foraging behavior of beetles
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