memory demand造句
例句與造句
- As the working set size increases , memory demand increases
隨著工作集大小的增加，內(nèi)存需求也增加。 - Figure 3 illustrates a system that is under - powered for the memory demands placed on it by running applications
圖3展示了在應(yīng)用程序的內(nèi)存需求下顯得力不從心的一個(gè)系統(tǒng)。 - Reverse mappings help the system continue to perform and scale well when large applications are placing huge memory demands on the kernel and multiple processes are sharing memory
當(dāng)大型應(yīng)用程序向內(nèi)核請(qǐng)求大量?jī)?nèi)存和多個(gè)進(jìn)程共享內(nèi)存時(shí)，反向映射幫助系統(tǒng)繼續(xù)有效地運(yùn)行和擴(kuò)展。 - The efficiency of the algorithm devised originally for routing tables allows for a linear increase in memory needs : if the number of transition rules rises from one to 10 , memory demands go up by a comparable factor
這種源自路由表的演算法極具效率，對(duì)記憶體的需求即使呈線(xiàn)性成長(zhǎng)也無(wú)所謂：如果規(guī)則數(shù)量由1增加到10 ，記憶體需求量也會(huì)大致成長(zhǎng)10倍。 - To characterize a workload , you must sort through queries , organize them into families , and then determine their resource demands in terms of processing times , i o requests , memory demand , network data traffic if applicable , and so on
為了刻畫(huà)工作負(fù)載，您必須整理查詢(xún)，將其組成家族，然后確定它們?cè)谔幚頃r(shí)間、 i / o請(qǐng)求、內(nèi)存需求、網(wǎng)絡(luò)數(shù)據(jù)信息量（如果可適用）等方面的資源需求。 - It's difficult to find memory demand in a sentence. 用memory demand造句挺難的
- The conclusions were drawn by comparing the performance metrics of our model with the first - order and second - order markov chain models : at detection performance ( hit rate and false alarm rate ) , our model is better than other two models ; at memory demand , our model is more than the first model , but less than the second - order model ; at speed , the training speed of our model is slower than other two models , but the detection speed is quicker . these results clearly demonstrate the effectiveness of our model . 2
通過(guò)與基于系統(tǒng)調(diào)用的一階和二階馬爾可夫鏈異常檢測(cè)模型的比較研究得出結(jié)論：基于系統(tǒng)調(diào)用宏的馬爾可夫鏈模型在檢測(cè)性能要高于一階和二階馬爾可夫鏈模型；而在存儲(chǔ)要求上稍高于一階馬爾可夫鏈模型，但低于二階馬爾可夫鏈模型；雖然在訓(xùn)練時(shí)間上是一階和二階馬爾可夫鏈模型若干倍，但實(shí)時(shí)檢測(cè)速度要高于它們兩者。