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Network cache allocation and management are important aspects of the designof an Information-Centric Network (ICN), such as one based on Named DataNetworking (NDN). We address the problem of optimal cache size allocation andcontent placement in an ICN in order to maximize the caching gain resultingfrom routing cost savings. While prior art assumes a given cache size at eachnetwork node and focuses on content placement, we study the problem when aglobal, network-wide cache storage budget is given and we solve for the optimalper-node cache allocation. This problem arises in cloud-based network settingswhere each network node is virtualized and housed within a cloud data centernode with associated dynamic storage resources acquired from the cloud node asneeded. With the offline centralized version of the optimal cache allocationproblem being NP-hard, we develop a distributed adaptive algorithm thatprovides an approximate solution within a constant factor from the optimal.Performance evaluation of the algorithm is carried out through extensivesimulations involving a variety of network topologies, establishingexperimentally that our proposal significantly outperforms existing cacheallocation algorithms.

Optimal Cache Allocation for Named Data Caching under Network-Wide Capacity Constraint