Resource: Reading List

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Program site:

  • [Edge] Coded Edge Computing
  • [Edge, Caching] Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds
  • [Edge] Computation Scheduling for Wireless Powered Mobile Edge Computing Networks
  • [Edge, Caching] Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing
  • [Edge] Delay-Optimal Distributed Edge Computing in Wireless Edge Networks
  • [Edge, D2D] Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing
  • [Edge, NFV] Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge
  • [Edge] Offloading Dependent Tasks in Mobile Edge Computing with Service Caching
  • [Edge, NFV, Backup] Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme
  • [Edge, AR] User Preference Based Energy-Aware Mobile AR System with Edge Computing


Program site:

  • [Edge] Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks
  • [Wirelelss, IoT] CRF: Coexistent Routing and Flooding using WiFi Packets in Heterogeneous IoT Networks
  • [IoT, Charging] Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSN
  • [D2D] D2D Offloading for Statistical QoS Provisionings Over 5G Multimedia Mobile Wireless Networks
  • [Wireless] Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission
  • [Wireless] Enabling Cross-Technology Coexistence for Extremely Weak Wireless Devices
  • [IoT, Edge] Load Balancing for Interdependent IoT Microservices
  • [Networking, NF] Octans: Optimal Placement of Service Function Chains in Many-Core Systems
  • [Measurement, networking] Bound-based Network Tomography with Additive Metrics
  • [Link prediction, wireless] GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
  • [IoT, wireless] EE-IoT: An Energy-Efficient IoT Communication Scheme for WLANs
  • [Loc, wireless, IoT] iLPS: Local Positioning System with Simultaneous Localization and Wireless Communication
  • [NF, networking] Hierarchical Multi-resource Fair Queueing for Network Function Virtualization
  • [Measurement, SDN] Adaptive Path Tracing with Programmable Bloom Filters in Software-Defined Networks
  • [Edge] Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
  • [Edge, NF] Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints
  • [Mobile, system] Detecting Vulnerable Android Inter-App Communication in Dynamically Loaded Code
  • [IoT] Parameter Self-Configuration and Self-Adaptation in Industrial Wireless Sensor-Actuator Networks
  • [Measurement, caching] Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels
  • [Edge, crowdsensing] An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems
  • [IoT, offloading] Fog-based Data Offloading in Urban IoT Scenarios
  • [Edge, DRL, QoE] Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE
  • [IoT] Space-Optimal Packet Routing on Trees
  • [mmW] Smartlink: Exploiting Channel Clustering Effects for Reliable Millimeter Wave Communications
  • [UAV] PANDA: Placement of Unmanned Aerial Vehicles Achieving 3D Directional Coverage
  • [Video, DRL] DRL360: 360-degree Video Streaming with Deep Reinforcement Learning
  • [Edge] Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds
  • [Edge] Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds
  • [App] UnseenCode: Invisible On-screen Barcode with Image-based Extraction
  • [VLC] SynLight: Synthetic Light Emission for Fast Transmission in COTS Device-enabled VLC
  • [IoT, lifetime] Maximum Lifetime Analytics in IoT Networks
  • [Federated learning] Federated Learning over Wireless Networks: Optimization Model Design and Analysis
  • [Federated learning] A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks
  • [Edge, offloading] Joint Offloading Decision and Resource Allocation with Uncertain Task Computing Requirement
  • [Edge] Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing
  • [Edge] Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach
  • [charging, IoT] Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks
  • [Wearable] WristSpy: Snooping Passcodes in Mobile Payment Using Wrist-worn Wearables
  • [App, mobile] NAuth: Secure Face-to-Face Device Authentication via Nonlinearity
  • [Blockchain] ACCEL: Accelerating the Bitcoin Blockchain for High-throughput, Low-latency Applications
  • [Networked learning] The Role of Network Topology for Distributed Machine Learning
  • [Edge] Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices
  • [Edge] Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications
  • [Edge] A Distributed Orchestration Algorithm for Edge Computing Resources with Guarantees

MobiCom 2019

Program site:

  • [App] Software Defined Cooking using a Microwave Oven
  • [LoRa] Challenge: Unlicensed LPWANs Are Not Yet the Path to Ubiquitous Connectivity
  • [Wearable] Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications
  • [App] HealthSense: Software-defined Mobile-based Clinical Trials
  • [Wireless] On-Off Noise Power Communication
  • [System] Living IoT: A Flying Wireless Platform on Live Insects
  • [Vehicle] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
  • [App] SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells
  • [Mobile] Fire in Your Hands: Understanding Thermal Behavior of Smartphones
  • [App] Taprint: Secure Text Input for Commodity Smart Wearables
  • [App] Keep Others From Peeking At Your Mobile Device Screen!
  • [Edge, AR] Edge Assisted Real-time Object Detection for Mobile Augmented Reality
  • [Measurement] An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails
  • [Mobile] Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling–enabled Mobile Devices

SigComm 2019

Program site:

  • [Networking] Gentle Flow Control: Avoiding Deadlock in Lossless Networks
  • [IoT, 5G] A Millimeter Wave Network for Billions of Things
  • [Mobile] E2E: Embracing User Heterogeneity to ImproveQuality of Experience on the Web
  • [Edge] Offloading Distributed Applications onto SmartNICs using iPipe
  • [Networking, QoE] End-to-End Transport for Video QOE Fairness
  • [VR, QoE] Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception
  • [Networking] On Optimal Neighbor Discovery

NSDI 2019

Program site:

  • [Networking] NetBouncer: Active Device and Link Failure Localization in Data Center Networks
  • [Networking, NF] Performance Contracts for Software Network Functions
  • [Networking, NF] Correctness and Performance for Stateful Chained Network Functions
  • [Blockchain] Monoxide: Scale out Blockchains with Asynchronous Consensus Zones
  • [Networking] Loom: Flexible and Efficient NIC Packet Scheduling
  • [Networking] Eiffel: Efficient and Flexible Software Packet Scheduling

IPSN 2019

Program site:

  • [LoRa] LongShoT: Long-Range Synchronization of Time
  • [Edge, system] Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
  • [VR] DeltaVR: Achieving High-Performance Mobile VR Dynamics through Pixel Reuse
  • [App] TennisEye: Tennis Ball Speed Estimation using a Racket-mounted Motion Sensor
  • [LoRa] Automated Estimation of Link Quality for LoRa: A Remote Sensing Approach.
  • [Wireless] ALICE: Autonomous Link-based Cell Scheduling for TSCH
  • [App] Can a phone hear the shape of a room?
  • [Wireless] Cross-Sender Bit-Mixing Coding

MobiHoc 2019

Program site:

  • [Robot, Nav] Robot Navigation in Radio Beam Space: Leveraging Robotic Intelligence for Seamless mmWave Network Coverage
  • [Measurement] How Bad is Selfish Caching?

ICDCS 2019

Program site:!/toc/0

  • [Networking] SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation
  • [Dist. learning] Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server196
  • [Streaming] Beyond QoE: Diversity Adaption in Video Streaming at the Edge
  • [Edge] DMRA: A Decentralized Resource Allocation Scheme for Multi-SP Mobile Edge Computing
  • [Edge] Incentivizing Microservices for Online Resource Sharing in Edge Clouds
  • [Edge] A Cyclic Game for Joint Cooperation and Competition of Edge Resource Allocation
  • [Charging] Near Optimal Charging Scheduling for 3-D Wireless Rechargeable Sensor Networks with Energy Constraints
  • [App] HyperEar: Indoor Remote Object Finding with a Single Phone678
  • [Edge, NFV] Providing Reliability-Aware Virtualized Network Function Services for Mobile Edge Computing
  • [IoT, measurement] Understanding Energy Efficiency in IoT App Executions
  • [IoT, Federated] DÏoT: A Federated Self-learning Anomaly Detection System for IoT
  • [App, acoustic] EchoWrite: An Acoustic-based Finger Input System Without Training
  • [IoT, AdHoc] Low-Latency Concurrent Broadcast Scheduling in Duty-Cycled Multihop Wireless Networks
  • [Charging] Minimizing the Longest Charge Delay of Multiple Mobile Chargers for Wireless Rechargeable Sensor Networks by Charging Multiple Sensors Simultaneously
  • [Edge, offload] Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks
  • [DRL, VNF, Edge] Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing
  • [Blockchain, Edge] Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game

SenSys 2018

Program site:

  • [Loc] 3D Localization for Sub-Centimeter Sized Devices
  • [Loc] Accurate 3D Localization for 60 GHz Networks
  • [App, freetouch] UbiTap: Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces
  • [AR] MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency
  • [VM for IoT] CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-Things Devices
  • [IoT] Passive ZigBee: Enabling ZigBee Communication in IoT networks with 1000x Less Power Consumption

CoNext 2018

Program site:!/program

  • [Measurement] Five Years at the Edge: Watching Internet from the ISP Network
  • [Sensing] Boosting fine-grained activity sensing by embracing wireless multipath effects
  • [Mobile, web] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems

ICNP 2018

Program site:

  • [Edge] Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge
  • [Edge, AR] DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing
  • [NF] Virtual Network Function Deployment in Tree-structured Networks
  • [SDN, update] Hermes: Utility-aware Network Update in Software-defined WANs
  • [SDN, update, protocol] Shifter: A Consistent Multicast Routing Update Scheme in Software-Defined Networks
  • [Wireless, backscatter] Canon: Exploiting Channel Diversity for Reliable Parallel Decoding in Backscatter Communication