Load balanced collaborative content caching strategy in named data network

Abstract

NamedDataNetworking(NDN)isthenamedbasednetworkingsystemfornext generation network architecture. In-network caching in NDN is a very challenging problemduetocomputationalcostforfindingthepropernodetostorethecontentin theresourceconstrainedNDN.Moreover,limitedresourcecachesandthedistributed locations of cache storage have made the problem complex. NDN content caching isdoneinnetworklayerwhichmakespacketforwardingandroutingmoredifficult. TheimportantpartofNDNistofindthebestlocationstocachethebestcontent.In thisresearchweanalyzesomecontentcachingstrategiesinNDNandputforwarda caching strategy based on content popularity, then compare the effect of different caching strategies through simulation experiments. In our research, we propose a cachingpolicywhatwecallLoadBalancedCollaborativeContentCaching(LBCC) strategy in NDN based on content popularity. To compute content popularity we use two deciding factors which are content request rate and request pattern. Cache performanceisestimatedinprovisionofcachehitratio.Wefindthatinourmethod cache hit ratio, response time and interest satisfaction ratio arebetter.