Visible to the public A Named In-Network Computing Service Deployment Scheme for NDN-Enabled Software Router

TitleA Named In-Network Computing Service Deployment Scheme for NDN-Enabled Software Router
Publication TypeConference Paper
Year of Publication2022
AuthorsLiang, Bowen, Tian, Jianye, Zhu, Yi
Conference Name2022 5th International Conference on Hot Information-Centric Networking (HotICN)
Date Publishednov
Keywordscloud computing, Computational modeling, Deployment Scheme, Focusing, in-network computing, Information Centric Networks, information-centric networking, NDN, pubcrawl, resilience, Resiliency, Scalability, simulation, Software, Software Router, Virtual machining
AbstractNamed in-network computing is an emerging technology of Named Data Networking (NDN). Through deploying the named computing services/functions on NDN router, the router can utilize its free resources to provide nearby computation for users while relieving the pressure of cloud and network edge. Benefitted from the characteristic of named addressing, named computing services/functions can be easily discovered and migrated in the network. To implement named in-network computing, integrating the computing services as Virtual Machines (VMs) into the software router is a feasible way, but how to effectively deploy the service VMs to optimize the local processing capability is still a challenge. Focusing on this problem, we first give the design of NDN-enabled software router in this paper, then propose a service earning based named service deployment scheme (SE-NSD). For available service VMs, SE-NSD not only considers their popularities but further evaluates their service earnings (processed data amount per CPU cycle). Through modelling the deployment problem as the knapsack problem, SE-NSD determines the optimal service VMs deployment scheme. The simulation results show that, comparing with the popularity-based deployment scheme, SE-NSD can promote about 30% in-network computing capability while slightly reducing the service invoking RTT of user.
NotesISSN: 2831-4395
DOI10.1109/HotICN57539.2022.10036191
Citation Keyliang_named_2022