基于聚类推荐的移动流媒体缓存优化技术研究的开题报告.docx

基于聚类推荐的移动流媒体缓存优化技术研究的开题报告
Title：ResearchonCacheOptimizationTechnologyofMobileStreamingMediaBasedonClusteringRecommendation
Introduction：
WiththerapiddevelopmentofmobileInternetandthewidespreaduseofsmartdevices,mobilestreamingmediahasbecomeincreasinglypopular.However,theperformanceofmobilestreamingmediaservicesisgreatlyaffectedbynetworkbandwidth,latency,andpacketloss.Tosolvetheseproblems,cachingtechnologyiscommonlyusedtoimprovetheuserexperienceofmobilestreamingmedia.Inthisstudy,weproposeacacheoptimizationtechnologybasedonclusteringrecommendation,whichcaneffectivelyimprovethequalityofmobilestreamingmediaservices.
Objectives：
Theobjectivesofthisstudyareasfollows:
1.Toinvestigatethecurrentstatusofmobilestreamingmediaservicesandtheircachingtechnologies.
2.Toanalyzethecharacteristicsofmobilestreamingmediadataanduserbehaviors.
3.Toproposeacacheoptimizationtechnologybasedonclusteringrecommendation.
4.Toconductexperimentsandevaluatetheperformanceoftheproposedtechnology.
Methodology：
Toachievetheresearchobjectives,wewilladoptamixed-methodapproach,includingbothquantitativeandqualitativemethods.Specifically,theresearchmethodsareasfollows:
1.Literaturereview:Acomprehensiveliteraturereviewwillbeconductedtostudythecurrentstatusofmobilestreamingmediaservicesandcachingtechnologies,aswellasrelatedresearchinclusteringrecommendation.
2.Datacollection:Wewillcollectreal-worlddataofmobilestreamingmediaanduserbehaviorsthroughamobilestreamingmediaplatform.
3.Clusteringrecommendation:Wewillapplytheclusteringrecommendationalgorithmtoanalyzeuserdataandrecommendtheoptimalcachedataaccordingtouserpreferences.
4.Experiment:Wewillconductexperimentsonatestbedusingtheproposedcacheoptimizationtechnologyandcompareitsperformancewithexistingcachingtechnologiesonmetricssuchashitrate,latency,andpacketloss.
5.Evaluation:Wewillevaluatetheperformanceoftheproposedtechnologybasedontheexperimentalresultsandanalyzetheadvantagesanddisadvantagesoftheproposedtechnology.
ExpectedResults：
Theexpectedresultsofthisstudy