3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge '20)
2020-06-25..2020-06-26
-- online --
as the organisers put it
The 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge '20) will take place June 25–26, 2020.
| title | author | length |
|---|---|---|
| SaFace: Towards Scenario-aware Face Recognition via Edge Computing System | Zhe Zhou, Bingzhe Wu, Zheng Liang, Guangyu Sun, Chenren Xu, Guojie Luo | 11m |
Prototype implements a three-layer edge system that pretrains a CNN in the cloud, runs detection/alignment/tracking on smart cameras, and does inference plus… | ||
| Sharing and Caring of Data at the Edge | Animesh Trivedi, Lin Wang, Henri Bal, Alexandru Iosup | 10m |
Argues for a first-class edge data store and enumerates eight design requirements (abstractions, locality, heterogeneity, mobility, failover, scalability… | ||
| Transparent Microsegmentation in Smart Home IoT Networks | Amr Osman, Armin Wasicek, Stefan Köpsell, Thorsten Strufe | 12m |
Implements two cooperating VNFs in the edge cloud: a network inventory function that fingerprints devices and scans CVEs and a microsegmenter using… | ||
| Benchmarking in The Dark: On the Absence of Comprehensive Edge Datasets | Oleg Kolosov, Gala Yadgar, Sumit Maheshwari, Emina Soljanin | 12m |
Paper demonstrates that available datasets miss key edge attributes and builds a concrete mitigation: compose attributes from multiple public sources to… | ||
| Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing | Thomas Rausch, Clemens Lachner, Pantelis A. Frangoudis, Philipp Raith, Schahram Dustdar | 11m |
A Python tool called edge topology synthesizer generates parameterized infrastructure graphs (node types like Raspberry Pi 3 and Intel NUC, link bandwidths… | ||
| FERRET: Fall-back to LTE Microservices for Low Latency Data Access | Muhammad Taqi Raza, Fatima Muhammad Anwar, Dongho Kim, Kyu-Han Kim | 13m |
FERRET keeps LTE control plane in the core and runs LTE user-plane as edge microservices, implements IMS media gateway at the edge, records and replays… | ||
| EdgeBalance: Model-Based Load Balancing for Network Edge Data Planes | Wei Zhang, Abhigyan Sharma, Timothy Wood | 13m |
EdgeBalance is a model-based load balancer that predicts per-server CPU from packet-level features and uses a PID controller to adjust dispatch weights, aiming… | ||
| P4EC: Enabling Terabit Edge Computing in Enterprise 4G LTE | Max Hollingsworth, Jinsung Lee, Zhang Liu, Jihoon Lee, Sangtae Ha, Dirk Grunwald | 12m |
P4EC is a working proof‑of‑concept that inserts a P4 programmable switch between eNodeB and cloud EPC to create a local exit for latency‑sensitive flows. It… | ||
| Interactive Planning-based Cognitive Assistance on the Edge | Zhiming Hu, Maayan Shvo, Allan Jepson, Iqbal Mohomed | 12m |
System tracks actions by classifying the top object and uses user confirmation when sequences are ambiguous, then runs a PDDL planner only on deviations while… | ||
| A Comparison of Communication Mechanisms in Vehicular Edge Computing | Liangkai Liu, Baofu Wu, Weisong Shi | 11m |
End-to-end prototype supports Wi‑Fi (router), LTE (USRP B210 + srsLTE with EPC/eNodeB), and DSRC (small‑car OBU/RSU, TCP gateway) and runs ROS message flows… | ||
| Scale-out Edge Storage Systems with Embedded Storage Nodes to Get Better Availability | Jianshen Liu, Matthew Leon Curry, Carlos Maltzahn, Philip Kufeldt | 13m |
Claim: replacing server-based racks with many cheap embedded storage devices (networked computational SSDs) yields higher availability because cost/space/power… | ||
| Adaptively Compressing IoT Data on the Resource-constrained Edge | Tao Lu, Wen Xia, Xiangyu Zou, Qianbin Xia | 12m |
Paper presents ZipMate middleware that picks compressors per-file to maximize edge→cloud throughput or compression ratio, using models and runtime resource… | ||
| Understanding and Tackling the Hidden Memory Latency for Edge-based Heterogeneous | Zhendong Wang, Zhen Wang, Cong Liu, Yang Hu | 11m |
Shows that unified memory on Jetson iGPU platforms initializes most data on the CPU, making initialization account for up to 90% of overall latency. Builds an… | ||
| Cost-effective Hardware Accelerator Recommendation for Edge Computing | Xingyu Zhou, Robert Canady, Shunxing Bao, Aniruddha Gokhale | 12m |
A recommender prototype collects per-device execution traces (time and power) for ras950 and tiny uno yellow models, fits random-variable latency and power… | ||
| Fast and Efficient Container Startup at the Edge via Dependency Scheduling | Silvery Fu, Radhika Mittal, Lei Zhang, Sylvia Ratnasamy | 11m |
Container startup time is dominated by image pulls (average ~20s from a cloud repo), so the system treats image layers as dependency units and schedules pods… | ||
| Toward Lighter Containers for the Edge | Misun Park, Ketan Bhardwaj, Ada Gavrilovska | 12m |
Edge deployment splits each container into an app image and a long‑running service container that holds heavy runtimes (TensorFlow, CUDA) so app images shrink… | ||
| SMARTER: Experiences with Cloud Native on the Edge | Alexandre Ferreira, Eric Van Hensbergen, Chris Adeniyi-Jones, Edmund Grimely-Evans, Josh Minor, Mark Nutter, Luis E. Peña, Kanak Agarwal, Jon Hermes | 12m |
A cloud-native stack built around Kubernetes runs edge workloads as daemon sets, pulls containers from registries, and pushes telemetry via MQTT and Fluent Bit… | ||
| Toward Loosely Coupled Orchestration for the LEO Satellite Edge | Vaibhav Bhosale, Ketan Bhardwaj, Ada Gavrilovska | 12m |
Proposes a new orchestration design for LEO edge networks that uses path models, temporal compensation, and affinity chains as concrete scheduling primitives… | ||
| Towards an Architecture for Trusted Edge IoT Security Gateways | Matt McCormack, Amit Vasudevan, Guyue Liu, Sebastián Echeverría, Kyle O'Meara, Grace Lewis, Vyas Sekar | 12m |
Proposes a concrete gateway architecture that uses an extensible micro‑hypervisor to enforce virtual TPM attestation, isolate keys for per‑hop packet… | ||
| Trustless IoT: A Logic-Driven Architecture for IoT Hubs | Soumya Basu, Emin Gün Sirer | 12m |
OrbanHub replaces hub-issued commands with proof-carrying statements that actuators verify using cryptographically signed sensor inputs, ensuring no action… | ||
| nothing matches | ||