performance and scalability
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performance and scalability
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就某種算法而言:
performance 性能,可能是某算法的預(yù)測(cè)(分類)精度、耗時(shí)等指標(biāo)。
scalability 可伸縮性,即規(guī)模可調(diào)整。 應(yīng)用程序應(yīng)對(duì)負(fù)載改變的能力,比如,一個(gè)系統(tǒng)在服務(wù)器于100個(gè)users和10000個(gè)users時(shí)的性能差別,如果這種差別在可以接收范圍內(nèi),就說(shuō)明這種系統(tǒng)可伸縮性強(qiáng)。或者系統(tǒng)的性能隨硬件條件的增加而同步增加,基本成比例增長(zhǎng)。如一個(gè)服務(wù)器的響應(yīng)時(shí)間是100ms,四個(gè)是25ms,當(dāng)然這是理想情況。它有horizontal 和vertical之分,如cluster。
衡量某算法的scalability的時(shí)候,應(yīng)該是指算法應(yīng)對(duì)數(shù)據(jù)樣本劇增時(shí)的穩(wěn)定性吧。
- Scalability
In some large-scale systems, it is hard to predict the number and behavior of end users. Scalability refers to a system’s ability to support fast increasing numbers of users. The intuitive way to scale up the number of concurrent sessions handled by a server is to add resources (memory, CPU or hard disk) to it. Clustering is an alternative way to resolve the scalability issue. It allows a group of servers to share the heavy tasks, and operate as a single server logically. from:http://hi.baidu.com/wmyqzq/blog/item/f62e398bf507201fc8fc7a00.html
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