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    【总结性】微服务调度相关论文

    摘要: With the development in the Cloud datacenters, the purpose of the efficient resource allocation is to meet the demand of the users instantly with the minimum rent cost. Thus, the elastic resource allocation strategy is usually combined with the prediction technology. This article proposes a novel predict method combination forecast technique, including both exponential smoothing (ES) and auto-regressive and polynomial fitting (PF) model. The aim of combination prediction is to achieve an efficient forecast technique according to the periodic and random feature of the workload and meet the application service level agreement (SLA) with the minimum cost. Moreover, the ES prediction with PSO algorithm gives a fine-grained scaling up and down the resources combining the heuristic algorithm in the future. APWP would solve the periodical or hybrid fluctuation of the workload in the cloud data centers. Finally, experiments improve that the combined prediction model meets the SLA with the better precision accuracy with the minimum renting cost. 预测式策略,使用功能了exponential smoothing and auto-regressive and polynomical fitting model,组合预测模型的目的是满足不同流量的需要同时满足服务SLA的要求使用PSO算法来进行一个细粒度的调度。用更低的租用成本实现更高的预测精度。

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    Python 学习入门(10)—— 时间

    Python格式化日期时间的函数为datetime.datetime.strftime();由字符串转为日期型的函数为:datetime.datetime.strptime(),两个函数都涉及日期时间的格式化字符串,列举如下: %a     Abbreviated weekday name %A     Full weekday name %b     Abbreviated month name %B     Full month name %c     Date and time representation appropriate for locale %d     Day of month as decimal number (01 - 31) %H     Hour in 24-hour format (00 - 23) %I     Hour in 12-hour format (01 - 12) %j     Day of year as decimal number (001 - 366) %m     Month as decimal number (01 - 12) %M     Minute as decimal number (00 - 59) %p     Current locale's A.M./P.M. indicator for 12-hour clock %S     Second as decimal number (00 - 59) %U     Week of year as decimal number, with Sunday as first day of week (00 - 51) %w     Weekday as decimal number (0 - 6; Sunday is 0) %W     Week of year as decimal number, with Monday as first day of week (00 - 51) %x     Date representation for current locale %X     Time representation for current locale %y     Year without century, as decimal number (00 - 99) %Y     Year with century, as decimal number %z, %Z     Time-zone name or abbreviation; no characters if time zone is unknown %%     Percent sign

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