Junliang Chen

TL;DR: The proposed distortion-aware concurrent multipath transfer (CMT-DA) solution includes three phases: 1) per-path status estimation and congestion control; 2) quality-optimal video flow rate allocation; 3) delay and loss controlled data retransmission.

TL;DR: This paper reviews the state-of-the-art technology and existing implementations of Mobile AR, as well as enabling technologies and challenges when AR meets the Web, and elaborate on the different potential Web AR provisioning approaches, especially the adaptive and scalable collaborative distributed solution which adopts the osmotic computing paradigm to provide Web AR services.

TL;DR: In this article, a distortion-aware concurrent multipath transfer (CMT-DA) solution is proposed, which includes three phases: 1) per-path status estimation and congestion control; 2) quality-optimal video flow rate allocation; 3) delay and loss controlled data retransmission.

TL;DR: A novel service cloud architecture is presented, and an auto-scaling mechanism is proposed to scale virtual resources at different resource levels in service clouds that can satisfy the user Service Level Agreement (SLA) while keeping scaling costs low.

TL;DR: This study presents a novel quAlity-Driven MultIpath TCP (ADMIT) scheme that integrates the utility maximization based Forward Error Correction (FEC) coding and rate allocation and develops an analytical framework to model the MPTCP-based video delivery quality over multiple communication paths.