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Titlebook: Ultra-fast ASP.NET; Building Ultra-Fast Richard Kiessig Book 2010 Rick Kiessig 2010 .NET.ASP.NET.computer.database.optimization.performanc

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樓主: IU421
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發(fā)表于 2025-3-23 11:04:58 | 只看該作者
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發(fā)表于 2025-3-23 14:50:55 | 只看該作者
is decreasing). Without solving the known problems about higher order corrections and graceful exit of inflation, we find this model closer to the observational Universe properties than the current available string cosmology scenarii..
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發(fā)表于 2025-3-23 18:59:14 | 只看該作者
Principles and Method,calability problems as they grow. In fact, it’s not unusual for large sites to be reengineered almost from scratch at some point in order to handle their growth. Fortunately, consistently following a few basic principles can make sites faster while they’re still small and can also minimize the probl
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發(fā)表于 2025-3-24 00:53:27 | 只看該作者
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發(fā)表于 2025-3-24 05:39:30 | 只看該作者
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發(fā)表于 2025-3-24 06:59:04 | 只看該作者
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發(fā)表于 2025-3-24 11:25:16 | 只看該作者
Book 2010ps, tricks and secrets, you‘ll find advice and code examples for all tiers of your application, including the client, caching, IIS 7, ASP.NET, threads, session state, SQL Server, Analysis Services, infrastructure and operations. By applying the ultra-fast approach to your projects, you‘ll squeeze ev
18#
發(fā)表于 2025-3-24 15:32:10 | 只看該作者
ps to massively parallel enterprise applications such as MyS.Ultra-Fast ASP.NET. presents a practical approach to building fast and scalable web sites using ASP.NET and SQL Server. In addition to a wealth of tips, tricks and secrets, you‘ll find advice and code examples for all tiers of your applica
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發(fā)表于 2025-3-24 20:26:34 | 只看該作者
Client Performance,ending one or more programs to the browser in the form of HTML (which is after all, Hypertext Markup .) and Java.. The browser then has to parse and execute those programs and render the results to the screen.
20#
發(fā)表于 2025-3-25 01:46:58 | 只看該作者
SQL Server Analysis Services, of an increase in memory use. If the aggregation requires scanning a large table or index, the process can displace other buffers from memory so that SQL Server has to read them from disk again the next time another query needs them.
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