Confidential computing has been an important method to protect the cloud computing security since it is proposed.It can provide an isolated trusted execution environment(TEE)for user space on computing platform to ensure the confidentiality and integrity of critical user code and data.However,the current mainstream confidential computing technology has performance bottlenecks such as slow I/O.Therefore,how to improve the performance of confidential computing has become a research hots-pot.Existing researches haven't thought of data itself,thus can't work well in complex practical scenes.A skiplist data structure that can organize and manage data efficiently in TEE is proposed to optimize the operational efficiency of confidential computing and reduce overhead of processing data in TEE.Finally,comparison experiments are conducted using secGear to prove that com-paring with red-black tree,the skiplist can improve the efficiency of confidential computing for 13.5％,10.5％and 1.9％when conducting insertion,deleting and searching respectively,and shows obvious improvement for random insertion when comparing with list.It shows that this proposal can improve the operational efficiency of confidential computing and has practicability.
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