企业技术开发(学术版)
企業技術開髮(學術版)
기업기술개발(학술판)
TECHNOLOGICAL DEVELOPMENT OF ENTERPRISE
2014年
1期
35-36
,共2页
组播技术%分簇算法%K方分簇算法
組播技術%分簇算法%K方分簇算法
조파기술%분족산법%K방분족산법
multicast technology%clustering algorithm%K-means clustering algorithm
与单播和广播技术相比,组播技术能有效地解决单点发送多点接收的问题,实现网络中点到多点的高效数据传送,大量节约网络带宽,降低网络负载。众所周知,分簇算法就是基于如何分组来进行研究。将某虚拟片区的各个节点分成一个个的簇,从而提升大家合作感知的效率,减轻网络通信流量的负担等等。在不同的组播应用场景下,根据对应的目标值选取最合适的分簇算法,势必使得网络整体效益性能最大化。因此,在组播技术中结合并引入分簇算法的意义是毋庸置疑的。分簇算法有很多种,文章仅探讨经典的K方分簇算法。
與單播和廣播技術相比,組播技術能有效地解決單點髮送多點接收的問題,實現網絡中點到多點的高效數據傳送,大量節約網絡帶寬,降低網絡負載。衆所週知,分簇算法就是基于如何分組來進行研究。將某虛擬片區的各箇節點分成一箇箇的簇,從而提升大傢閤作感知的效率,減輕網絡通信流量的負擔等等。在不同的組播應用場景下,根據對應的目標值選取最閤適的分簇算法,勢必使得網絡整體效益性能最大化。因此,在組播技術中結閤併引入分簇算法的意義是毌庸置疑的。分簇算法有很多種,文章僅探討經典的K方分簇算法。
여단파화엄파기술상비,조파기술능유효지해결단점발송다점접수적문제,실현망락중점도다점적고효수거전송,대량절약망락대관,강저망락부재。음소주지,분족산법취시기우여하분조래진행연구。장모허의편구적각개절점분성일개개적족,종이제승대가합작감지적효솔,감경망락통신류량적부담등등。재불동적조파응용장경하,근거대응적목표치선취최합괄적분족산법,세필사득망락정체효익성능최대화。인차,재조파기술중결합병인입분족산법적의의시무용치의적。분족산법유흔다충,문장부탐토경전적K방분족산법。
Compared with unicast and broadcast technology,multicast technology can effectively solve single-point to multi-point transmission problems and realize multi-point efficient data transmission,saving so much network bandwidth and reducing network load.As is known to all,clustering algorithm is based on the study of grouping. Each node is divided into one cluster,so as to enhance the efficiency of our co-perception and reduce the burden of network traffic and so on.Under different scenarios of multicast applica-tions,we select the most appropriate clustering algorithm according to the corresponding target,which is bound to make the overall performance of the network maximize.Therefore,it is no doubt about the significance of introducing clustering algorithm to multicast technology.Although there are so many kinds of clustering algorithms,this paper only discusses the classic K-means clustering algo-rithm.