Difference between revisions of "Resource:Paper Carnival 2021"
From MobiNetS
m |
m |
||
| Line 26: | Line 26: | ||
====Edge Services, 15:30-16:30, [[Member:Linyuanqi_Zhang|张林元齐]] ==== | ====Edge Services, 15:30-16:30, [[Member:Linyuanqi_Zhang|张林元齐]] ==== | ||
* [https://ieeexplore.ieee.org/document/9488707 Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning, INFOCOM 2021] | * [https://ieeexplore.ieee.org/document/9488707 Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning, INFOCOM 2021] | ||
* [https://www.usenix.org/system/files/nsdi21-primorac.pdf When to Hedge in Interactive Services, | * [https://www.usenix.org/system/files/nsdi21-primorac.pdf When to Hedge in Interactive Services, NSDI 2021] | ||
====Discussion, 16:30-17:00==== | ====Discussion, 16:30-17:00==== | ||
===IoT/Edge Sys=== | |||
====System, 18:00-19:00, [[Member:Jianfei_Zhang|张健飞]] ==== | |||
* [https://www.usenix.org/system/files/nsdi21-wang.pdf Ownership: A Distributed Futures System for Fine-Grained Tasks, NSDI 2021] | |||
* [https://www.usenix.org/conference/nsdi21/presentation/hwang Elastic Resource Sharing for Distributed Deep Learning, NSDI 2021] | |||
====Wireless & Edge, 19:00-20:00, [[Member:JiangShu_Liu|刘江澍]] ==== | |||
* [https://dl.acm.org/doi/10.1145/3458864.3468012 Counting a Stationary Crowd Using Off-the-Shelf WiFi, MobiSys 2021] | |||
* [https://ox5bc.github.io/public_html/paper/headfi.pdf HeadFi: Bringing Intelligence to All Headphones, MobiCom 2021] | |||
====System, 20:00-21:00, [[Member:Xianyang_Xu|徐显阳]] ==== | |||
* LegoOS Report | |||
| Line 66: | Line 79: | ||
====Discussion, 16:30-17:00==== | ====Discussion, 16:30-17:00==== | ||
Revision as of 20:00, 31 August 2021
Edge computing
2019/09/03
Opening, 9:00-9:30
Service Optimization, 9:30-11:00, 丛荣
- Layer Aware Microservice Placement and Request Scheduling at the Edge, INFOCOM 2021
- Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers, INFOCOM 2021
- Cost-effective Cloud Edge Traffic Engineering with Cascara, NSDI 2021
- L2D2: low latency distributed downlink for LEO satellites, SIGCOMM 2021
- Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading, MobiCom 2021
- GRADES: Gradient Descent for Similarity Caching, INFOCOM 2021
Services Mapping, 11:00-11:30, 刘卓柳
MEC&D2D Task Offloading, 14:00-15:30, 黄文杰
- On Consideration of Content Preference and Sharing Willingness in D2D Assisted Offloading, J-SAC 2017
- D2D-Assisted Multi-User Cooperative Partial Offloading, Transmission Scheduling and Computation Allocating for MEC, TWC 2021
- Staying Alive: Connection Path Reselection at the Edge, NSDI 2021
Edge Services, 15:30-16:30, 张林元齐
- Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning, INFOCOM 2021
- When to Hedge in Interactive Services, NSDI 2021
Discussion, 16:30-17:00
IoT/Edge Sys
System, 18:00-19:00, 张健飞
- Ownership: A Distributed Futures System for Fine-Grained Tasks, NSDI 2021
- Elastic Resource Sharing for Distributed Deep Learning, NSDI 2021
Wireless & Edge, 19:00-20:00, 刘江澍
- Counting a Stationary Crowd Using Off-the-Shelf WiFi, MobiSys 2021
- HeadFi: Bringing Intelligence to All Headphones, MobiCom 2021
System, 20:00-21:00, 徐显阳
- LegoOS Report
LoRa & Mobile Network
2020/09/04
Recent Advances in LoRa, 9:00-10:30, 毛文量
- Packets Recovery
- Pyramid: Real-Time LoRa Collision Decoding with Peak Tracking, INFOCOM 2021
- Concurrent Interference Cancellation: Decoding Multi-Packet Collisions in LoRa, Large-Scale Wireless Networks, SIGCOMM 2021
- MAC
- CloakLoRa: A Covert Channel over LoRa PHY, ICNP 2020
- Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network, ICNP 2020
- Application (Localization)
- OwLL Accurate LoRa Localization using the TV White Spaces, IPSN 2021
- Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation TII2021, TII 2021
LoRa Transfer, 10:30-11:00, 王雄
LoRa Signal Process, 11:00-11:30, 郑凯文
Mobile Network, 14:00-15:30, 付璐炜
- EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets, INFOCOM 2021
- Minimizing the Number of Deployed UAVs for Delay-bounded Data Collection of IoT Devices, INFOCOM 2021
- Edge-Enabled V2X Service Placement for Intelligent Transportation Systems Mobile Edge Computing System, INFOCOM 2021
Mobile, 15:30-16:30, 胡诗琦
- Predictability and Prediction of Human Mobility Based on Application-Collected Location Data, TMC 2021
- Distributed Threshold-based Offloading for Large-Scale Mobile Cloud Computing, INFOCOM 2021