Difference between revisions of "Resource:Paper Carnival 2019"

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====Opening====
====Opening====
* 9:00-9:30, From students to researchers – Producing knowledge in the latest topics!, [http://zhiweizhao.com Zhiwei Zhao]
* 9:00-9:30, From students to researchers – Producing knowledge in the latest topics!, [http://zhiweizhao.com Zhiwei Zhao]
====Edge (1) ====
====Edge (2)====
* 9: 30-10:30, Service placement, [[Member:Chang_Shu|Chang Shu]]
* 10:30-11:00, System&Protocols, [[Member:Chang_Shu|Chang Shu]]
** Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks, INFOCOM'19
** Offloading Distributed Applications onto SmartNICs using iPipe, SigComm’19
** Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems, INFOCOM'19
** Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge, ICNP’18
** Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints, INFOCOM'19
** Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications, INFOCOM’19
** Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds, INFOCOM'19
* 11:00-11:30, Edge-based Apps, [[Member:Chang_Shu|Chang Shu]]
** Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing, INFOCOM'19
** [https://people.eecs.berkeley.edu/~kaifei/pubs/sensys_18_marvel.pdf Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds, INFOCOM’19]
** Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach, INFOCOM'19
** [http://www.winlab.rutgers.edu/~luyang/papers/mobicom19_augmented_reality.pdf Edge Assisted Real-time Object Detection for Mobile Augmented Reality, MobiCom’19]
** Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices, INFOCOM'19
** [https://people.eecs.berkeley.edu/~kaifei/pubs/sensys_18_marvel.pdf MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency, SenSys’18]
** Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing, ICDCS’19
** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799 DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18]
 
====Edge (1) ====
====Edge (1) ====
* 9: 30-10:30, Service placement,  [[Member:Chang_Shu|Chang Shu]]
* 9: 30-10:30, Service placement,  [[Member:Chang_Shu|Chang Shu]]

Revision as of 14:43, 23 September 2019

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

2019/09/28 Edge and LoRa!

Opening

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

Edge (2)

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

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

2019/09/29 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

2019/09/30 Mobile and wireless for IoT

Mobile services

System level support for IoT

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