---
title: SEC 2024 Digest
venue: SEC
year: 2024
date: '2024-01-01'
tags: []
paper_count: 12
draft: false
---

12 papers selected.

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### EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds

*Amran Haroon*

**TL;DR** — 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.

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### Righteous: Automatic Right-Sizing for Complex Edge Deployments

*Aniruddha Rakshit*

**TL;DR** — Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention.

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### Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary for Mobile Edge Computing

*Ke-Jou Hsu*

**TL;DR** — Proposes a low-overhead monitoring system for collecting fine-grained resource metrics at the edge, enabling more accurate profiling for MEC scheduling decisions.

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### HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum

*Thomas W. Pusztai*

**TL;DR** — Extends serverless scheduling across a three-dimensional edge-cloud-space continuum, addressing latency and resource constraints introduced by satellite and terrestrial tiers.

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### Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge

*Pritish Mishra*

**TL;DR** — Enables live, low-disruption reconfiguration of stateful stream processing pipelines at the edge, minimizing downtime during topology changes.

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### FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge

*Sifat Ut Taki*

**TL;DR** — Reduces cold-start latency for serverless DNN inference at the edge by fusing model loading with active inference through selective layer swapping.

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### EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge Devices

*Sri Pramodh Rachuri*

**TL;DR** — Co-optimizes inference latency and energy sustainability on edge devices by dynamically trading off accuracy and hardware utilization under carbon-aware constraints.

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### Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs

*Soroush Heidari*

**TL;DR** — Demonstrates elastic, interference-aware co-execution of multiple DNNs across heterogeneous processing elements in edge MPSoCs to maximize throughput and fairness.

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### Optimizing Edge Offloading Decisions for Object Detection

*Jiaming Qiu*

**TL;DR** — Formulates and solves an online offloading decision problem for object detection that jointly minimizes latency and energy consumption under variable network conditions.

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### VideoJam: Self-Balancing Architecture for Live Video Analytics

*Youssouph Faye*

**TL;DR** — Proposes a self-balancing edge architecture for live video analytics that dynamically redistributes pipeline stages to prevent bottlenecks under fluctuating camera workloads.

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### OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture

*Manavjeet Singh*

**TL;DR** — Designs an orchestration layer for disaggregated edge hardware that places and migrates video analytics microservices to exploit spatial locality and heterogeneous accelerators.

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### TA-ASF: Attention-Sensitive Token Sampling and Fusing for Visual Transformer Models on the Edge

*Junquan Chen*

**TL;DR** — 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.