Resource:Paper Carnival 2019

This page shows the first seminar in the 19-20 semester. Please share your comments and ideas in the discussion board!

2019/09/21 Edge and LoRa!

Opening

• 9:00-9:30, From students to researchers – Producing knowledge in the latest topics!, Zhiwei Zhao

Edge (1)

• 9: 30-10:30, Service placement, Chang Shu
  • Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks, INFOCOM'19
  • Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems, INFOCOM'19
  • Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints, INFOCOM'19
  • Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds, INFOCOM'19
  • Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing, INFOCOM'19
  • Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach, INFOCOM'19
  • Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices, INFOCOM'19
  • Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing, ICDCS’19

Edge (2)

• 10:30-11:00, System&Protocols, Chang Shu
  • Offloading Distributed Applications onto SmartNICs using iPipe, SigComm’19
  • Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge, ICNP’18
  • Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications, INFOCOM’19
• 11:00-11:30, Edge-based Apps, Chang Shu
  • Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds, INFOCOM’19
  • Edge Assisted Real-time Object Detection for Mobile Augmented Reality, MobiCom’19
  • MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency, SenSys’18
  • DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18

Tutorial (1)

• 11:30-12:00, Simulation and experiments for edge computing, Yunpeng Han

LoRa (1)

• 14:00-15:00, Measurements in LoRa, Wenliang Mao
  • Challenge: Unlicensed LPWANs Are Not Yet the Path to Ubiquitous Connectivity, MobiCom’19
  • Known and unknown facts of LoRa: Experiences from a large-scale measurement study, ToN’19
  • LoRaWAN: Evaluation of link-and system-level performance, IoTJ’18
  • Understanding the limits of LoRaWAN, ComMag’17
  • Low power wide area network analysis: Can LoRa scale? WCL’17
• 15:05-16:05, LoRa protocols, Wenliang Mao
  • LongShoT: Long-Range Synchronization of Time, IPSN’19
  • Automated Estimation of Link Quality for LoRa: A Remote Sensing Approach, IPSN’19
  • Integration of LoRaWAN and 4G/5G for the Industrial Internet of Things, ComMag’18

Tutorial (2)

• 16:10-16:50, LoRa programming with Arduino, Xuan Yang
• 16:50-17:10, Review and discussions

2019/09/22 Offloaded and distributed!

Offloading (1)

• 9:30-10:30, Offloading in Edge, Yunpeng Han
  • Joint Offloading Decision and Resource Allocation with Uncertain Task Computing Requirement, INFOCOM’19
  • Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks, ICDCS’19

Offloading (2)

• 10:35-11:30, Offloading in Fog & D2D, Yunpeng Han
  • D2D Offloading for Statistical QoS Provisionings Over 5G Multimedia Mobile Wireless Networks, INFOCOM’19
  • Fog-based Data Offloading in Urban IoT Scenarios, INFOCOM’19

Federated learning

• 14:00-15:30, Federated learning, Yuhong Jiang
  • Learning over Wireless Networks: Optimization Model Design and Analysis, INFOCOM’19
  • A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks, INFOCOM’19
  • DÏoT: A Federated Self-learning Anomaly Detection System for IoT, ICDCS’19

VR-Streaming

• 15:35-16:35, VR Streaming, Jingwei Li
  • Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception, SigComm’19
  • DRL360: 360-degree Video Streaming with Deep Reinforcement Learning, INFOCOM’19
  • Beyond QoE: Diversity Adaption in Video Streaming at the Edge, ICDCS’19

Path programming

• 16:40-17:40, Path programming, Wenjie Huang
  • Route Prediction for Instant Delivery, Proc. of the ACM
  • Experience on urban pick-up scheduling

2019/09/23 Mobile and wireless for IoT

Mobile services

• 9:30-10:30, A Millimeter Wave Network for Billions of Things, SigComm’19, Jiwei Mo
• 10:30-11:30, On Optimal Neighbor Discovery, SigComm’19, Silin Feng

System level support for IoT

• 14:00-15:00, CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of- Things Devices, SenSys’18, Changsheng Liu
• 15:00-16:00, VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19, Anqi Yang

Tutorial (3)

• 16:20-17:20, Low-power IoT programming with TinyOS/TelosB testbed, Minghang Yang
• 17:20-18:00, Review and idea discussion

Dinner

• 18:30-20:30, TBD