Difference between revisions of "Resource:Paper Carnival 2019"
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This page shows the first seminar in the 19-20 semester. | This page shows the first seminar in the 19-20 semester. | ||
=== 2019/ | Please share your comments and ideas in the [[Resource talk:Paper Carnival 2019|'''discussion board''']]! | ||
=== 2019/10/10 Edge and LoRa!=== | |||
====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 (1)==== | ||
* 9: 30-10: | * 9:30-10:15, Edge-based Apps, [[Member:Chang_Shu|Chang Shu]] | ||
** Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks, INFOCOM'19 | ** [http://www.winlab.rutgers.edu/~luyang/papers/infocom2019_hetero_edge.pdf Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds, INFOCOM’19] | ||
** Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems, 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] | ||
** Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints, 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] | ||
** Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds, INFOCOM'19 | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799 DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing, ICNP’18] | ||
** 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 | ====Edge (2) ==== | ||
** Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices, INFOCOM'19 | * 10: 15-11:00, Service placement, [[Member:Chang_Shu|Chang Shu]] | ||
** Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing, ICDCS’19 | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737385 Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks, INFOCOM'19] | ||
** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737449 Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems, INFOCOM'19] | |||
* | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737400 Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints, INFOCOM'19] | ||
** Offloading Distributed Applications onto SmartNICs using iPipe, SigComm’19 | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737368 Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds, INFOCOM'19] | ||
** Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge, ICNP’18 | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737543 Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing, INFOCOM'19] | ||
** Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications, INFOCOM’19 | ** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737560 Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach, INFOCOM'19] | ||
** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737543 Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices, INFOCOM'19] | |||
** [https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/11q32rv79UFEJ3yg292g2W/2wuuNJo4MJxdkmVDtTjJq9.pdf Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing, ICDCS’19] | |||
* 11:00-11:30, System&Protocols, [[Member:Chang_Shu|Chang Shu]] | |||
** [https://courses.engr.illinois.edu/ece598hpn/fa2019/papers/ipipe.pdf Offloading Distributed Applications onto SmartNICs using iPipe, SigComm’19] | |||
** [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526801 Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge, ICNP’18] | |||
** [http://www.cs.wm.edu/~hebo/PID5753779.pdf Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications, INFOCOM’19] | |||
====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]] | ||
** [https://github.com/CagataySonmez/EdgeCloudSim EdgeCloudSim] | |||
** [https://paradrop.org/about Paradrop] | |||
====LoRa (1)==== | ====LoRa (1)==== | ||
* 14:00-15:00, Measurements in LoRa, [[Member: | * 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 | ** [https://sing.stanford.edu/site/publications/ghena-mobicom19.pdf 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 | ** [https://wands.sg/publications/full_list/papers/TOSN_19_2.pdf 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 | ** [https://ieeexplore.ieee.org/abstract/document/8344411 LoRaWAN: Evaluation of link-and system-level performance, IoTJ’18] | ||
** Understanding the limits of LoRaWAN, ComMag’17 | ** [https://arxiv.org/pdf/1607.08011 Understanding the limits of LoRaWAN, ComMag’17] | ||
** Low power wide area network analysis: Can LoRa scale? WCL’17 | ** [http://home.deib.polimi.it/cesana/teaching/IoT/2017/papers/lorawan/IEEELetters2016.pdf Low power wide area network analysis: Can LoRa scale? WCL’17] | ||
* 15:05-16:05, LoRa protocols, [[Member: | * 15:05-16:05, LoRa protocols, [[Member:Wenliang_Mao|Wenliang Mao]] | ||
** LongShoT: Long-Range Synchronization of Time, IPSN’19 | ** [https://ieeexplore.ieee.org/document/8732545 LongShoT: Long-Range Synchronization of Time, IPSN’19] | ||
** Automated Estimation of Link Quality for LoRa: A Remote Sensing Approach, IPSN’19 | ** [https://ieeexplore.ieee.org/document/8732548 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 | ** [https://ieeexplore.ieee.org/document/8291115 Integration of LoRaWAN and 4G/5G for the Industrial Internet of Things, ComMag’18] | ||
====Tutorial (2)==== | ====Tutorial (2)==== | ||
* 16:10-16:50, LoRa programming with Arduino, [[Member:Xuan_Yang|Xuan Yang]] | * 16:10-16:50, LoRa programming with Arduino, [[Member:Xuan_Yang|Xuan Yang]] | ||
* 16:50-17:10, Review and discussions | * 16:50-17:10, Review and discussions | ||
===2019/ | ===2019/10/11 Offloaded and distributed!=== | ||
====Offloading (1)==== | ====Offloading (1)==== | ||
* 9:30-10:30, Offloading in Edge, [[Member:Yunpeng_Han|Yunpeng Han]] | * 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 | ** [https://ieeexplore.ieee.org/document/8737559 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 | ** [https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/175k9GfU1RAoaKDJsELveo/5fH5NklNpaDgxmqRFVy5BD.pdf 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]] | * 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 | **[https://ieeexplore.ieee.org/document/8737626 D2D Offloading for Statistical QoS Provisionings Over 5G Multimedia Mobile Wireless Networks, INFOCOM’19] | ||
** Fog-based Data Offloading in Urban IoT Scenarios, INFOCOM’19 | **[https://ieeexplore.ieee.org/document/8737503 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]] | * 14:00-15:30, Federated learning, [[Member:Yuhong_Jiang|Yuhong Jiang]] | ||
** Federated Learning over Wireless Networks: Optimization Model Design and Analysis, INFOCOM’19 | ** [https://ieeexplore.ieee.org/document/8737464 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 | ** [https://ieeexplore.ieee.org/document/8737657 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 | ** [https://arxiv.org/abs/1804.07474 DÏoT: A Federated Self-learning Anomaly Detection System for IoT, ICDCS’19] | ||
====VR-Streaming==== | ====VR-Streaming==== | ||
* 15:35-16:35, VR Streaming, [[Member:Jingwei_Li|Jingwei Li]] | * 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 | ** [https://dl.acm.org/citation.cfm?id=3342063 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 | ** [https://ieeexplore.ieee.org/abstract/document/8737361/ DRL360: 360-degree Video Streaming with Deep Reinforcement Learning, INFOCOM’19] | ||
** Beyond QoE: Diversity Adaption in Video Streaming at the Edge, ICDCS’19 | ** [https://theory.utdallas.edu/ICDCS2019/program.html Beyond QoE: Diversity Adaption in Video Streaming at the Edge, ICDCS’19] | ||
====Path programming==== | ====Path programming==== | ||
* 16:40-17:40, Path programming, [[Member:Wenjie_Huang|Wenjie Huang]] | * 16:40-17:40, Path programming, [[Member:Wenjie_Huang|Wenjie Huang]] | ||
** Route Prediction for Instant Delivery, Proc. | **[https://dl.acm.org/citation.cfm?id=3351282 Route Prediction for Instant Delivery, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.] | ||
** Experience on urban pick-up scheduling | ** Experience on urban pick-up scheduling | ||
===2019/ | ===2019/10/12 Mobile and wireless for IoT=== | ||
Mobile and wireless for IoT | |||
====Mobile services==== | ====Mobile services==== | ||
* 9:30-10:30, | * 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]] | * 10:30-11:30, [https://arxiv.org/pdf/1905.05220.pdf On Optimal Neighbor Discovery, SigComm’19], [[Member:Silin_Feng|Silin Feng]] | ||
====System level support for IoT==== | ====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]] | * 14:00-15:00,[https://dl.acm.org/citation.cfm?id=3274842 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, | * 15:00-16:00,[https://arxiv.org/abs/1812.02780 VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19], [[Member:Anqi_Yang|Anqi Yang]] | ||
====Tutorial (3)==== | ====Tutorial (3)==== | ||
* 16:20-17:20, Low-power IoT programming with TinyOS/TelosB testbed, [[Member:Minghang_Yang|Minghang Yang]] | * 16:20-17:20, Low-power IoT programming with TinyOS/TelosB testbed, [[Member:Minghang_Yang|Minghang Yang]] |
Latest revision as of 23:38, 23 September 2020
This page shows the first seminar in the 19-20 semester. Please share your comments and ideas in the discussion board!
2019/10/10 Edge and LoRa!
Opening
- 9:00-9:30, From students to researchers – Producing knowledge in the latest topics!, Zhiwei Zhao
Edge (1)
- 9:30-10:15, 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
Edge (2)
- 10: 15-11:00, 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
- 11:00-11:30, System&Protocols, Chang Shu
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
Tutorial (2)
- 16:10-16:50, LoRa programming with Arduino, Xuan Yang
- 16:50-17:10, Review and discussions
2019/10/11 Offloaded and distributed!
Offloading (1)
- 9:30-10:30, Offloading in Edge, Yunpeng Han
Offloading (2)
- 10:35-11:30, Offloading in Fog & D2D, Yunpeng Han
Federated learning
- 14:00-15:30, Federated learning, Yuhong Jiang
VR-Streaming
- 15:35-16:35, VR Streaming, Jingwei Li
Path programming
- 16:40-17:40, Path programming, Wenjie Huang
- Route Prediction for Instant Delivery, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
- Experience on urban pick-up scheduling
2019/10/12 Mobile and wireless for IoT
Mobile services
- 9:30-10:30, A Millimeter Wave Network for Billions of Things, SigComm’19, Jiwei Mo
- 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,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