Task scheduling in real - time distributed computer systems ( rtdcs ) is an issue mat is full of challenge , also a hot research subject nowadays 實(shí)時(shí)分布系統(tǒng)的任務(wù)調(diào)度問題是一個(gè)富有挑戰(zhàn)性的問題,也是當(dāng)前的一個(gè)研究熱點(diǎn)。
Computer cluster is developing with the distributing computer system . specially the internet accelerate the development of cluster 計(jì)算機(jī)集群是隨著分布式計(jì)算機(jī)系統(tǒng)而發(fā)展來的,特別是近年來internet的出現(xiàn),對(duì)集群技術(shù)的要求越來越高。
To minimize the retrieval speed , all the data are kept in active memory ( rather than on hard disks ) on a distributed computer system consisting of about 70 pcs 為了盡可能縮短檢索時(shí)間,他們采用由大約70臺(tái)電腦構(gòu)成的分散式電腦系統(tǒng),將所有的資料都存放在記憶體內(nèi)(而不是在硬碟上) 。
This thesis illustrates the design of jobs management system - jms . lt can implement load balance in distributed computer system . users can make sufficientlly use of all kinds of resources , enhance efficiency and reduce cost in distributed heterogeneous network environment 該系統(tǒng)可使分布式計(jì)算機(jī)系統(tǒng)實(shí)現(xiàn)負(fù)載共享,使用戶最大限度地利用分布式異構(gòu)網(wǎng)絡(luò)環(huán)境中的各種資源,以達(dá)到提高效率、降低成本的目的。
Distributed computing is very important in today ' s computer science and technology development . with the advance of computer networking and communication , more and more computer systems are connected to meet the need of information communicating and source sharing , which constitute distributed computer systems . the programming of distributed systems must be based on the use of distributed algorithms , so that the research on distributed algorithm naturally becomes an active field 計(jì)算機(jī)網(wǎng)絡(luò)互連技術(shù)與通信技術(shù)的發(fā)展使越來越多的計(jì)算機(jī)系統(tǒng)可以通過互連形成網(wǎng)絡(luò)計(jì)算機(jī)系統(tǒng)以滿足各種數(shù)據(jù)處理中信息通信和資源共享的需要,從而構(gòu)成各種分布式計(jì)算機(jī)系統(tǒng),并在此基礎(chǔ)上發(fā)展了大量的各種計(jì)算機(jī)應(yīng)用,由此極大地促進(jìn)了分布式計(jì)算理論、方法與技術(shù)的發(fā)展。
In this paper we construct the transaction rule model with multi - dimension limits , and through extending the apriori algorithm and the fp _ growth algorithm we can get the algorithms which can be used to mine this model in the center computer system ; through extending the fdm _ lp algorithm we get the algorithms which can be used in the distributed computer system 在本文中,筆者提出了具有多維限定性約束條件的交易規(guī)則模型,通過對(duì)apriori算法、 fp - growth算法進(jìn)行擴(kuò)展,實(shí)現(xiàn)了集中式環(huán)境下該模型的采掘算法;通過擴(kuò)展fdm - lp算法完成了分布式環(huán)境下模型的采掘。
This paper include four parts . in the first part we introduce some basic concepts of data warehouse and data mining ; in the second part we discuss the transaction rule model with time limit and the algorithm to mine it ; then we discuss the transaction rule model with multi - dimension limit and the algorithm to mine it in the third part ; at last we discuss how to mine association rules in a distributed computer system and the problems which should be paid attention to in order to use the model constructed in this paper 全文一共分為四個(gè)部分:第一部分討論了數(shù)據(jù)挖掘與數(shù)據(jù)倉庫的基本概念;第二部分討論了具有時(shí)間約束的交易規(guī)則模型及其實(shí)現(xiàn)算法;第三部分討論了具有多維約束條件的交易規(guī)則模型及其實(shí)現(xiàn)算法;在第四部分首先介紹了如何在分布式環(huán)境下進(jìn)行關(guān)聯(lián)規(guī)則挖掘,然后討論了如何實(shí)現(xiàn)本文提出的模型以及需注意的幾個(gè)問題。
The researched key issues in the dissertation are agent and magent technology are introduced in dms . in order to overcome the disadvantage of distributed computer system in distributed multimedia mode and spatial information service in water conservancy , some technology schemes , using agent and magent , are presented for applying digital water conservancy and practical application more preferably 研究重點(diǎn)是在dms中引入agent與magent的理念,探討如何利用agent與magent的優(yōu)勢(shì)來克服現(xiàn)有dms在分布式多媒體模式和水利空間信息服務(wù)應(yīng)用方面的不足,以便更好地適用于數(shù)字水利以及實(shí)際應(yīng)用的需求。
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