Resource Discovery for Edge Computing over Named Data Networking
Daishi Kondo, Thomas Ansquer, Yosuke Tanigawa, Hideki Tode · 2021
Edge computing over Named Data Networking (NDN) is expected to be a promising approach for the deployment of applications such as connected cars and virtual/augmented reality. In conventional edge computing frameworks, computing request packets are not forwarded based on the resource availability statuses of edge execution nodes (e.g., CPU and memory utilization). This makes it possible for the requests to reach fully loaded nodes that cannot deal with these requests. To address this issue, this paper proposes a resource discovery scheme for edge computing over NDN. In this scheme, each execution node distributes its own resource availability status in its vicinity by scoped-flooding. This information guides the requests toward available nodes that meet the requirements of the requests. Our extensive simulations show that the proposed scheme helps request packets to discover available execution nodes effectively.