Research on the dynamic management of cloud simulation derived data

Abstract

Cloud simulation derived data is defined as the data related to service version, characteristics, relationships, runtime environments and cross-domain communication during service execution in cloud simulation environment, collectively. It is of great value and significance in cloud simulation for service description, service composition and resource management. The types of derived data are abundant and the amount of it is huge. Existing studies on cloud simulation usually assume all of the derived data required for a specific task is well organized and available anytime, which is of course impossible. Derived data needs to be expressed and managed in terms of knowledge to make sure the smooth execution of cloud simulation platform. Therefore, this paper presents a derived data management method in cloud simulation platform to enable derived data collection and dynamic knowledge storage. The prototype system of the proposed method are established and a virtual prototype of double girder crane is taken as an example to verify the effectiveness of the method.