Renegotiated CBR transmission in interactive video-on-demand system

An Interactive Video-On-Demand (IVOD) system requires transmission bandwidth allocation for each user. Since the volume of data in each video frame is variable, dynamic bandwidth allocation is desirable. In this paper, a new scheme that dynamically determines required bandwidth based on the queue length at the viewers Set-Top Box (STB) is proposed. This method requires no pre-calculation, so it is easily applied to IVOD. The variance of the video transmission rate for each user is an important factor as it affects the service quality of other multiplexed traffic. It is desirable that the transmission rate is changed gradually. A multi-layer concept is introduced to achieve this. Through numerical evaluation using actual movie data, we demonstrate that the variance of the transmission rate is close to the optimal value and the bandwidth utilization is close to unity.published_or_final_versio

Efficient deterministic bandwidth allocation method in interactive video-on-demand systems

An interactive video-on-demand (IVOD) system requires continuous video playback, and network bandwidth should be allocated to satisfy quality of service (QOS) requirements. Bandwidth allocation methods can be classified into two categories: static and dynamic. There are two types of static allocation methods: deterministic and statistical. In deterministic allocation, bandwidth which provides deterministic QOS is allocated only at call setup time. Although their implementation is simpler than other methods, it suffers from low bandwidth utilization. In this paper, we propose a new deterministic static bandwidth allocation method which improves bandwidth utilization. This method does not require set-top box (STB) control. This decreases the STB cost and the signaling overhead in the network.link_to_subscribed_fulltex

Analyzing Effect of Edge Computing on Reducing Webpage Response Time

International audienceModern webpages consist of many rich objects dynamically produced by servers and client terminals at diverse locations, so we face an increase in web response time. To reduce the time, edge computing, in which dynamic objects are generated and delivered from edge nodes, is effective. For ISPs and CDN providers, it is desirable to estimate the effect of reducing the web response time when introducing edge computing. Therefore, in this paper, we derive a simple formula that estimates the lower bound of the reduction of the response time by modeling flows obtaining objects of webpages. We investigate the effect of edge computing in each webpage category, e.g., News and Sports, using data measured by browsing about 1,000 popular webpages from 12 locations in the world on PlanetLab

Proceedings of the 2021 IEEE 7th International Conference on Network Softwarization (NetSoft)

International audienc