International audienceTernary content addressable memories (TCAMs) are frequently used for fast matching of packets against a given ruleset. While TCAMs can achieve fast matching, they are plagued by high update costs that can make them unusable in a high churn rate environment. We present, in this paper, a systematic and in-depth analysis of the TCAM update problem. We apply partial order theory to derive fundamental constraints on any rule ordering on TCAMs, which ensures correct checking against a given ruleset. This theoretical insight enables us to fully explore the TCAM update algorithms design space, to derive the optimal TCAM update algorithm (though it might not be suitable to be used in practice), and to obtain upper and lower bounds on the performance of practical update algorithms. Having lower bounds, we checked if the smallest update costs are compatible with the churn rate observed in practice, and we observed that this is not always the case. We therefore developed a heuristic based on ruleset splitting, with more than a single TCAM chip, that achieves significant update cost reductions (1.05~11.3x) compared with state-of-the-art techniques

A good set of the financial system could take care of all accounting entries and their impacts on the whole intelligent financial environment. The total flow of money and total expenditures will be reflected here. The intelligent financial system can improve the utilization of data, increase the work efficiency of financial personnel, and increase the security of financial processing services. This system could help the managers make their important financial decisions, financial budgeting, and so on. They can know about the financial conditions at any time. Based on the collection and processing of financial data, we design and analyze the related financial system to carry out the intelligent property of the financial environments. The system extends the quality of financial reporting, SOX compliance, and internal controls in a financial system, including credit management, revenue recognition, bad debts allowance. Once there is an early warning in the financial system, our proposed enhanced system could give a fast early response, and bridge a positive linkage about the planning department, finance department, and top managers, which could avoid potential exposure to bad debts. This system guarantees that the credible customers are selected, and avoid the potential risk of bad debts are incurred by a loose credit limit. It strengthens the preventive control over aging receivables management and detects the potential risk of bad debts in the earlier system alert.

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