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With the rapid development of Cloud Data Center, the recommendation systems that provide valuable suggestions for the users to address the problem of information over-loaded have provoked a vast amount of attention and research from multiple disciplines. In recent decades, both the matrix factorization (MF) and deep learning methods have achieved fairly good performance for the recommendation. However, in the field of Operation And Maintenance (OAM) cloud data center, due to the intricate nature of the faults data in multi-level and diversified OAM scenarios, the sparsity of data may lead to significant degradation of recommendation performance, which pose huge challenges to the existing recommendation methods. To address these problems, in this paper, we propose a recommendation method for Decision Support on Cloud Data Center based on the operation and maintenance Knowledge Graph. Specifically, fault-based and solution-based representations are learned for Collaborative Filtering (CF), which has been proven to be one of the most commonly applied and successful recommendation approaches. Meanwhile, faults' attributions are combined into the representations by OAM Knowledge Graph for alleviating the sparsity problem. Experimental results demonstrated the effectiveness of our proposed method in the OAM cloud data center for decision support.

A multisource and heterogeneous database is an important problem that disturbs the use of the electric power information system. The existing database synchronization scheme has some problems in practical applications, such as high resource loss and poor portability. This paper presents a high-efficiency database synchronization scheme for the electric power information system. The database is monitored, and its changes are captured by the shadow table and trigger method. Thus, data could be exchanged in trusted networks and nontrusted networks. In addition, a predetermined strategy is used to avoid data conflicts and ensure consistency and reliability of data synchronization. The above method is applied in the protection system of power networks. The results show that the synchronization scheme can effectively ensure the security of the system and has higher synchronization efficiency.

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