49 research outputs found

    MBA: A market-based approach to data allocation and migration for cloud database

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    With the coming shift to cloud computing, cloud database is emerging to provide database service over the Internet. In the cloud-based environment, data are distributed at internet scale and the system needs to handle a huge number of user queries simultaneously without delay. How data are distributed among the servers has a crucial impact on the query load distribution and the system response time. In this paper, we propose a market-based control method, called MBA, to achieve query load balance via reasonable data distribution. In MBA, database nodes are treated as traders in a market, and certain market rules are used to intelligently decide data allocation and migration. We built a prototype system and conducted extensive experiments. Experimental results show that the MBA method signicantly improves system performance in terms of average query response time and fairness

    Paradox mindset and work-motherhood enrichment strategies

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    Value and Perception Study

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    RESEARCH OF RUBBER FATIGUE OPTIMIZATION UNDER MULTIAXIAL LOADING

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    This paper introduces an analysis method,which combines the crack fatigue prediction theory and rubber elastic structure optimization,to optimize the structure of a rubber bushing. Using stress in rubber as the optimization parameters,the method can predict fatigue life of the rubber bushing by applying crack energy density. In summary,using the fatigue result,this new analysis method can predict rubber fatigue life and provide optimized structure of rubber parts. This combination of the crack fatigue prediction theory and rubber elastic structure optimization ensures the convenience of engineering application and provides a guidance to reduce rubber structure developing time
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