venue: SEC
year: 2024
papers:
- title: 'EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile
    Edge Clouds'
  authors:
  - Amran Haroon
  reason: "Introduces a multi-tenant edge orchestration system that captures resource dependencies across co-located workloads, demonstrating significant improvements in task completion latency and resource utilization."
- title: 'Righteous: Automatic Right-Sizing for Complex Edge Deployments'
  authors:
  - Aniruddha Rakshit
  reason: "Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention."
- title: 'Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary
    for Mobile Edge Computing'
  authors:
  - Ke-Jou Hsu
  reason: "Proposes a low-overhead monitoring system for collecting fine-grained resource metrics at the edge, enabling more accurate profiling for MEC scheduling decisions."
- title: 'HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum'
  authors:
  - Thomas W. Pusztai
  reason: "Extends serverless scheduling across a three-dimensional edge-cloud-space continuum, addressing latency and resource constraints introduced by satellite and terrestrial tiers."
- title: 'Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge'
  authors:
  - Pritish Mishra
  reason: "Enables live, low-disruption reconfiguration of stateful stream processing pipelines at the edge, minimizing downtime during topology changes."
- title: 'FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference
    Services on the Edge'
  authors:
  - Sifat Ut Taki
  reason: "Reduces cold-start latency for serverless DNN inference at the edge by fusing model loading with active inference through selective layer swapping."
- title: 'EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference
    on Edge Devices'
  authors:
  - Sri Pramodh Rachuri
  reason: "Co-optimizes inference latency and energy sustainability on edge devices by dynamically trading off accuracy and hardware utilization under carbon-aware constraints."
- title: Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs
  authors:
  - Soroush Heidari
  reason: "Demonstrates elastic, interference-aware co-execution of multiple DNNs across heterogeneous processing elements in edge MPSoCs to maximize throughput and fairness."
- title: Optimizing Edge Offloading Decisions for Object Detection
  authors:
  - Jiaming Qiu
  reason: "Formulates and solves an online offloading decision problem for object detection that jointly minimizes latency and energy consumption under variable network conditions."
- title: 'VideoJam: Self-Balancing Architecture for Live Video Analytics'
  authors:
  - Youssouph Faye
  reason: "Proposes a self-balancing edge architecture for live video analytics that dynamically redistributes pipeline stages to prevent bottlenecks under fluctuating camera workloads."
- title: 'OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture'
  authors:
  - Manavjeet Singh
  reason: "Designs an orchestration layer for disaggregated edge hardware that places and migrates video analytics microservices to exploit spatial locality and heterogeneous accelerators."
- title: 'TA-ASF: Attention-Sensitive Token Sampling and Fusing for Visual Transformer
    Models on the Edge'
  authors:
  - Junquan Chen
  reason: "Accelerates Vision Transformer inference at the edge by pruning and fusing attention tokens based on saliency, achieving accuracy-efficiency trade-offs suitable for resource-constrained devices."