Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： With the decentralized anti-tampering feature of blockchain technology, digital evidence is being freed from the constraints of centralized institutions, and the efficiency and credibility of depositing evidence has been improved. In order to solve the shortcomings of weak scalability and availability, a parellel storage blockchain digital forensics model based on the combination entrusted equity and practical Byzantine fault tolerance is proposed. Firstly, the block producers are selected by the method of Delegated Proof of Stake, and then the Practical Byzantine Fault Tolerance mechanism is used to synchronize the block producers. In view of the characteristics that the block chain technology itself is not suitable for storing large capacity data, a combination of blockchain and off-chain storage is applied to overcome this problem. The safety and efficiency analysis of the proposed model proves that the proposed model can meet the requirements of safety and performance at the same time, and can serve digital forensics feature well.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-12 Cooperative journals: 《计算机应用研究》
Abstract： In the era of big data, the usage of column storage database is increasing, which promoted the development of research in column-oriented storage field. In order to solve the problem of high learning cost and low compression efficiency caused by large data dispersion, small classification granularity and the defect of applied classification algorithm encountered in the compression process of the existing column-based database compression strategy, this paper designed a sorted-based hybrid compression strategy of column-based compression and sector-based compression. Firstly, we designed a method to sort the data in each column according to the characteristics of HBase to strengthen the data compaction. Secondly, according to the characteristics of the data, we applied the hybrid column-based compression strategy and the hybrid sector-based compression strategy respectively to recommend the compression algorithm . We have conducted experiments on TPC-DS standard data and the results demonstrate that the proposed strategy has excellent performance in both compression rate and compression / decompression time.
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