Difference between revisions of "Resource:Paper Carnival 2019"

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** Edge Assisted Real-time Object Detection for Mobile Augmented Reality, MobiCom’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
** MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency, SenSys’18
** DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18
** [ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799 DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18]
 
====Tutorial (1)====
====Tutorial (1)====
* 11:30-12:00, Simulation and experiments for edge computing, [[Member:Yunpeng_Han|Yunpeng Han]]
* 11:30-12:00, Simulation and experiments for edge computing, [[Member:Yunpeng_Han|Yunpeng Han]]

Revision as of 14:39, 17 September 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
    • [ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799 DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18]

Tutorial (1)

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)

Offloading (2)

Federated learning

VR-Streaming

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

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