Songqing Chen

TL;DR: An analysis of representative Bit-Torrent traffic provides several new findings regarding the limitations of BitTorrent systems: due to the exponentially decreasing peer arrival rate in reality, service availability in such systems becomes poor quickly, after which it is difficult for the file to be located and downloaded.

TL;DR: The aim is to develop novel deep learning-based visual food recognition algorithms to achieve the best-in-class recognition accuracy and to design a food recognition system employing edge computing-based service computing paradigm to overcome some inherent problems of traditional mobile cloud computing paradigm.

TL;DR: A worm containment system comprising a host computing machine, a virtual machine running under the control of a VM monitor, a worm detector, a diverter and a buffer is described in this paper.

TL;DR: This study empirically study workloads from three popular knowledge-sharing OSNs, including a blog system, a social bookmark sharing network, and a question answering social network to examine their properties, providing insights into user activity patterns and laying out an analytical foundation for further understanding various properties of these OSNs.

TL;DR: P pervasive fall detection for stroke mitigation is employed as a case in study and a patient-centered design is proposed that is minimal intrusive to patients and the response time and energy consumption of the system are close to the minimum of the existing approaches.