DAG-based Task Orchestration for Edge Computing
Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, and Saurabh Bagchi

TL;DR
This paper introduces IBDASH, a DAG-based orchestration framework that effectively integrates personal and commercial edge devices to reduce latency and failure probability in latency-sensitive applications.
Contribution
The paper presents IBDASH, a novel framework for orchestrating tasks across heterogeneous personal and commercial edge devices considering resource constraints.
Findings
IBDASH reduces end-to-end latency by 14% on average.
IBDASH decreases failure probability by 41% compared to existing schemes.
Real-device experiments validate IBDASH's effectiveness at scale.
Abstract
As we increase the number of personal computing devices that we carry (mobile devices, tablets, e-readers, and laptops) and these come equipped with increasing resources, there is a vast potential computation power that can be utilized from those devices. Edge computing promises to exploit these underlying computation resources closer to users to help run latency-sensitive applications such as augmented reality and video analytics. However, one key missing piece has been how to incorporate personally owned unmanaged devices into a usable edge computing system. The primary challenges arise due to the heterogeneity, lack of interference management, and unpredictable availability of such devices. In this paper we propose an orchestration framework IBDASH, which orchestrates application tasks on an edge system that comprises a mix of commercial and personal edge devices. IBDASH targets…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Caching and Content Delivery · Age of Information Optimization
