A Hybrid Chain Based Incentive Mechanism for Resource Leasing in NDN

Xin Wei, Zhuo Yu, Shaoyong Guo, Jing Shen, Feng Qi, Xuesong Qiu

Abstract: Since the main feature of Named Data Network (NDN) is in-net caching, it is crucial to motivate users to offer resource such as bandwidth and storage. However, few research works on incentive mechanism design for NDN. This paper proposes a market for NDN to lease bandwidth and storage from Access Points (APs). Since blockchain can supply a traceable and credible environment while public chain has long latency and low throughput, the paper combines permissioned chain with public chain, constructs a hybrid chain based environment without hurting its truthfulness. Furthermore, the paper formulates the market as a reverse auction running by a Content Provider (CP) who aims to serve more users for profit by leasing resource from APs, and investigates incentive mechanism for motivating APs. Especially, the paper designs an optimal mechanism, which could overcome defects of traditional mechanism, get the most profit for CP with guaranteeing interest of AP. Evaluation results compare effectiveness of mechanism proposed with traditional incentive mechanism, and prove that the mechanism we designed could get better results.