Difference between revisions of "Resource:Paper Carnival 2019"
From MobiNetS
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** Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks, ICDCS’19 | ** Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks, ICDCS’19 | ||
====Offloading (2)==== | ====Offloading (2)==== | ||
* 10:35-11:30, Offloading in Fog & D2D, [[Member:Yunpeng_Han|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==== | ====Federated learning==== | ||
* 14:00-15:30, Federated learning, [[Member:Yuhong_Jiang|Yuhong Jiang]] | |||
** Federated 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==== | ====VR-Streaming==== | ||
====Instant | * 15:35-16:35, VR Streaming, [[Member:Jingwei_Li|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, [[Member:Wenjie_Huang|Wenjie Huang]] | |||
** Route Prediction for Instant Delivery, Proc. of the ACM | |||
** Experience on urban pick-up scheduling | |||
===20190923=== | |||
Mobile and wireless for IoT. | |||
====Mobile services==== | |||
* 9:30-10:30, VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19, [[Member:Anqi_Yang|Anqi Yang]] | |||
* 10:30-11:30, On Optimal Neighbor Discovery, SigComm’19, [[Member:Silin_Feng|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, [[Member:Changsheng_Liu|Changsheng Liu]] | |||
* 15:00-16:00, A Millimeter Wave Network for Billions of Things, SigComm’19, [[Member:Jiwei_Mo|Jiwei Mo]] | |||
====Tutorial (3)==== | |||
* 16:20-17:20, Low-power IoT programming with TinyOS/TelosB testbed, [[Member:Minghang_Yang|Minghang Yang]] | |||
* 17:20-18:00, Review and idea discussion | |||
====Dinner==== | |||
* 18:30-20:30, TBD |
Revision as of 22:05, 16 September 2019
This page shows the first seminar in the 19-20 semester.
20190921
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
20190922
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
- Federated 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
20190923
Mobile and wireless for IoT.
Mobile services
- 9:30-10:30, VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19, Anqi Yang
- 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, A Millimeter Wave Network for Billions of Things, SigComm’19, Jiwei Mo
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