Improving the Service Solutions on Hybrid Clouds at Edge Network Using Fuzzy Approaches

Abstract

So far in cloud computing environment, all the resources and services are used as an on-demand request basis from the client end. All typical service issues have been solved with the optimal cloud resource customization policies. The role of edge computing is enabling the data processing operations at the edge network which will operate in the cloud computing platforms. Due to increased amount of usage in the client location the proper devices need to be well connected with an internet. Edge mechanism is implemented in the real-time service based operation which will examine the upstream and downstream functional units will apply the real-time local data analysis in the data centre locations. The hybrid clouds will execute the service request form both the private cloud and public cloud users. These services and request based resources can be literally focused by the cloud service provider (CSP) and managed service provider (MSP) who will provide the cloud services uninterruptedly to the requested users. When the multiple services are executes in the edge network then the cloud vendor does not properly handle the services through the secured environment. Such kind of problem will lead the user to loss their control activities on the hybrid cloud solutions location. The proposed approaches of edge computing in hybrid cloud solutions are improving the service by applying the fuzzy logic control implementation factors. The cloud sim can be used as a simulator in the proposed model.

Keywords: Cloud service provider, Cloud sim, Cloud vendor, Data centre, Edge network, Hybrid clouds, Location identity, Managed service provider, Process segment identity.

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