Source rate bound for feedback-based video transmission under the end-to-end delay constraint

Author(s):  
Myeong-Jin Lee ◽  
Jae-Kyoon Kim
Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 93
Author(s):  
Kangkai Liu ◽  
Linhan Guo ◽  
Yu Wang ◽  
Xianyu Chen

For the edge computing network, whether the end-to-end delay satisfies the delay constraint of the task is critical, especially for delay-sensitive tasks. Virtual machine (VM) migration improves the robustness of the network, whereas it also causes service downtime and increases the end-to-end delay. To study the influence of failure, migration, and recovery of VMs, we define three states for the VMs in an edge server and build a continuous-time Markov chain (CTMC). Then, we develop a matrix-geometric method and a first passage time method to obtain the VMs timely reliability (VTR) and the end-to-end timely reliability (ETR). The numerical results are verified by simulation based on OMNeT++. Results show that VTR is a monotonic function of the migration rate and the number of VMs. However, in some cases, the increase in task VMs (TVMs) may conversely decrease VTR, since more TVMs also brings about more failures in a given time. Moreover, we find that there is a trade-off between TVMs and backup VMs (BVMs) when the total number of VMs is limited. Our findings may shed light on understanding the impact of VM migration on end-to-end delay and designing a more reliable edge computing network for delay-sensitive applications.


2018 ◽  
Author(s):  
PARMA HADI RANTELINGGI

Wireless mesh network (WMN) technology operating on IEEE 802.11 standard is a wireless networkingtechnology consists of mesh routers and mesh clients, combined with the internet, mobile technology and sensor networks. Along with the development of technology and the increasing human needs, video transmission through wireless network becomes more important and necessary. Generally, the discussion of video transmission through wireless network is still in general, hence it provides a challenge in the use of throughput, end-to-end delay, packet loss and PSNR. Combined Scalable Video Coding (CSCV) is a new scheme for the development of H.264 / MPEG-4. In this research we use CSCV for video delivery with the IEEE 802.11 standard in WMN environment, which is applied to AODV, DSDV and DSR routing protocols. In order to obtain the performance of each protocol, we used testing metrics end-to-end delay, throughput, packet loss and PSNR. Simulator NS-2 is used for analysis and measurement of data. The results of simulation experiments conducted showed that AODV has the lowest end-to-end delay at 0.57 seconds, the DSR has a good value in the throughput at 31 kbps and PSNR at 22.7 dB, and DSDV has a low value in packet loss at 56.4%.


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