预览加载中，请您耐心等待几秒...

移动P2P流媒体中基于有效容量的邻居节点选择机制(英文).docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

移动P2P流媒体中基于有效容量的邻居节点选择机制(英文) Introduction Mobilepeer-to-peer(P2P)streaminghasbecomeanincreasinglypopularmethodfordistributingmediacontenttoalargeaudience.However,oneofthemajorchallengesinP2Pstreamingistoefficientlyselectthebestneighborpeerstoimprovethestreamingperformance.Inthispaper,weproposeaneffectiveneighborpeerselectionmechanismbasedontheavailablecapacityofneighbors.Ourproposedmethodcansignificantlyimprovethestreamingperformanceandreducetheoveralltrafficinthenetwork. Background Peer-to-peerstreamingisausefultechnologyfordistributinglargemediafiles,suchasvideosandaudiofiles.InP2Pstreaming,peersexchangedatawitheachothertoreducetheloadontheserverandenhancethestreamingperformance.However,selectingthebestpeersisasignificantchallengeinP2Pstreaming.Manyexistingneighborselectionmechanismsonlyconsiderthedownloadrateortheuploadrateofpeers,whichcanleadtosuboptimalperformance. ProposedMechanism Ourproposedmechanismselectsneighborsbasedontheireffectivecapacity,whichtakesintoaccounttheavailablecapacityofneighborsandtheaverageutilizationoftheircapacity.Thisallowsforamoreefficientselectionofneighborsthatcanprovidebetterstreamingperformance.Specifically,weuseaweightedfunctiontomeasuretheeffectivecapacityofeachneighbor.Thefunctionconsidersthedownloadanduploadrates,aswellasthecurrentusageofthecapacity.Wealsouseadynamicthresholdmechanismtoavoidselectingpeersthatmayhavehigh-capacitybutlowutilizationrates,whichcanleadtoinefficientuseofthenetworkresources. Evaluation Weevaluateourproposedmechanismusingasimulation-basedapproach.Wecompareourmechanismwithtwoexistingmechanisms,namelyRarestFirstandGreedySelection.Weusethreemetricstoevaluatetheperformance,namelytheaveragestreamingrate,thepercentageofpeersthatcontributetothestreaming,andtheoveralltrafficinthenetwork.Ourresultsshowthatourproposedmechanismoutperformsthetwoexistingmechanismsintermsofallthreemetrics.Specifically,ourmethodachievesanaveragestreamingratethatis20%higherthantheothertwomethods.Thepercentageofcontributorpeersisalsomuc