Resource:Paper Carnival 2019

2019-09-17T03:33:03Z

Jingwei: /* VR-Streaming */

This page shows the first seminar in the 19-20 semester.
Please share your comments and ideas in the [[Resource talk:Paper Carnival 2019|'''discussion board''']]!
=== 2019/09/21 Edge and LoRa!===

====Opening====
* 9:00-9:30, From students to researchers – Producing knowledge in the latest topics!, [http://zhiweizhao.com Zhiwei Zhao]
====Edge (1) ====
* 9: 30-10:30, Service placement, [[Member:Chang_Shu|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, [[Member:Chang_Shu|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, [[Member:Chang_Shu|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, [[Member:Yunpeng_Han|Yunpeng Han]]

====LoRa (1)====
* 14:00-15:00, Measurements in LoRa, [[Member:Wenliang_Mao|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, [[Member:Wenliang_Mao|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, [[Member:Xuan_Yang|Xuan Yang]]
* 16:50-17:10, Review and discussions

===2019/09/22 Offloaded and distributed!===

====Offloading (1)====
* 9:30-10:30, Offloading in Edge, [[Member:Yunpeng_Han|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, [[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====
* 14:00-15:30, Federated learning, [[Member:Yuhong_Jiang|Yuhong Jiang]]
** [https://ieeexplore.ieee.org/document/8737464 Federated Learning over Wireless Networks: Optimization Model Design and Analysis, INFOCOM’19]
** [https://ieeexplore.ieee.org/document/8737657 A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks, INFOCOM’19]
** [https://arxiv.org/abs/1804.07474 DÏoT: A Federated Self-learning Anomaly Detection System for IoT, ICDCS’19]

====VR-Streaming====
* 15:35-16:35, VR Streaming, [[Member:Jingwei_Li|Jingwei Li]]
** [https://dl.acm.org/citation.cfm?id=3342063 Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception, SigComm’19]
** [https://ieeexplore.ieee.org/abstract/document/8737361/ DRL360: 360-degree Video Streaming with Deep Reinforcement Learning, INFOCOM’19]
** [https://theory.utdallas.edu/ICDCS2019/program.html 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

===2019/09/23 Mobile and wireless for IoT===

====Mobile services====
* 9:30-10:30, [https://dl.acm.org/citation.cfm?id=3342068 A Millimeter Wave Network for Billions of Things], SigComm’19, [[Member:Jiwei_Mo|Jiwei Mo]]
* 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, VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19, [[Member:Anqi_Yang|Anqi Yang]]
====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

MobiNetS - User contributions [en]

Resource:Paper Carnival 2019