The implement of large relational database platform becomes the foundation of data organization in MIS, MRPII, ERP, and *** influences the efficiency and even success to the development of the whole ***-response time ...
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The implement of large relational database platform becomes the foundation of data organization in MIS, MRPII, ERP, and *** influences the efficiency and even success to the development of the whole ***-response time and its correctness seems to be the most important measurement of database performance comparing to other facts such as use of the peripheral equipment and memory requirement Hence query optimization is very *** general method is to standardize the relations into normal form, such as 3NF or *** the performance is not *** acyclic database that combines the graph theory has several good properties especially on query optimization and correctness of query *** this paper, data confliction in functional dependency environment was discussed. Beside,a decomposition algorithm was proposed to standardize a relation into a schema meeting SNF and a-acyclic with proof and analysis.
Cloud services have been widely deployed on large-scale datacenters by Cloud Service Providers (CSPs) to provide users with better performance and reliability. However, interactions between datacenter selection and mu...
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Cloud services have been widely deployed on large-scale datacenters by Cloud Service Providers (CSPs) to provide users with better performance and reliability. However, interactions between datacenter selection and multiple traffic engineering (TE) of many physical networks operated by Internet Service Providers (ISPs) may occur, which may lead to performance loss. In this paper, we propose a cooperative approach based on Nash's bargaining solution (NBS) for CSP and ISPs to improve their performance, which considers both Pareto optimality and fairness. Then, in order to facilitate the actual deployment, we also design a decomposition algorithm to calculate the NBS. Simulations are performed to verify our analysis on different network environments.
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