| Title | Experimenting with Real Application-specific QoS Guarantees in a Large-scale RINA Demonstrator |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Perello, Jordi, Lopez, Albert, Careglio, Davide |
| Conference Name | 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) |
| Date Published | feb |
| Keywords | 37-node 5G metro RINA network scenario, 37-node 5G regional RINA network scenario, 5G mobile communication, accepted candidate scheduling policy, actual quality of service guarantees, application-specific QoS guarantees, clean slate, clean-slate recursive internetwork architecture, Computer architecture, delays, diverse QoS requirements, effective QoS support, end-user, ERASER disclose, experienced QoS metrics end-to-end, Fed4FIRE + medium experiment ERASER, HD video streaming demonstration, heterogeneous applications, Human Behavior, internetworking, large-scale experimentation, large-scale RINA demonstrator, Metrics, Metropolitan area networks, network load conditions, perceived quality of experience, policy governance, pubcrawl, QoS, QTA-Mux, quality of experience, quality of service, Resiliency, RINA, Servers, Streaming media, synthetic application traffic, t network locations, telecommunication scheduling, telecommunication traffic, video streaming, video streaming sessions, video traffic, virtual wall experimentation facility |
| Abstract | This paper reports the definition, setup and obtained results of the Fed4FIRE + medium experiment ERASER, aimed to evaluate the actual Quality of Service (QoS) guarantees that the clean-slate Recursive InterNetwork Architecture (RINA) can deliver to heterogeneous applications at large-scale. To this goal, a 37-Node 5G metro/regional RINA network scenario, spanning from the end-user to the server where applications run in a datacenter has been configured in the Virtual Wall experimentation facility. This scenario has initially been loaded with synthetic application traffic flows, with diverse QoS requirements, thus reproducing different network load conditions. Next,their experienced QoS metrics end-to-end have been measured with two different QTA-Mux (i.e., the most accepted candidate scheduling policy for providing RINA with its QoS support) deployment scenarios. Moreover, on this RINA network scenario loaded with synthetic application traffic flows, a real HD (1080p) video streaming demonstration has also been conducted, setting up video streaming sessions to end-users at different network locations, illustrating the perceived Quality of Experience (QoE). Obtained results in ERASER disclose that, by appropriately deploying and configuring QTA-Mux, RINA can yield effective QoS support, which has provided perfect QoE in almost all locations in our demo when assigning video traffic flows the highest (i.e., Gold) QoS Cube. |
| DOI | 10.1109/ICIN.2019.8685896 |
| Citation Key | perello_experimenting_2019 |
Experimenting with Real Application-specific QoS Guarantees in a Large-scale RINA Demonstrator