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A Unified Model for the Mobile-Edge-Cloud Continuum

Authors:

D. F. Mendonça,

G. QuattrocchiAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 19, Issue 2

Article No.: 29, Pages 1 - 21

https://doi.org/10.1145/3226644

Published: 01 April 2019 Publication History

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Abstract

Technologies such as mobile, edge, and cloud computing have the potential to form a computing continuum for new, disruptive applications. At runtime, applications can choose to execute parts of their logic on different infrastructures that constitute the continuum, with the goal of minimizing latency and battery consumption and maximizing availability. In this article, we propose A3-E, a unified model for managing the life cycle of continuum applications. In particular, A3-E exploits the Functions-as-a-Service model to bring computation to the continuum in the form of microservices. Furthermore, A3-E selects where to execute a certain function based on the specific context and user requirements. The article also presents a prototype framework that implements the concepts behind A3-E. Results show that A3-E is capable of dynamically deploying microservices and routing the application’s requests, reducing latency by up to 90% when using edge instead of cloud resources, and battery consumption by 74% when computation has been offloaded.

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A Unified Model for the Mobile-Edge-Cloud Continuum

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 19, Issue 2

Special Issue on Fog, Edge, and Cloud Integration

May 2019

288 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3322882

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Copyright © 2019 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2019

Accepted: 01 May 2018

Revised: 01 April 2018

Received: 01 December 2017

Published in TOIT Volume 19, Issue 2

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EEB - Edifici A Zero Consumo Energetico In Distretti Urbani Intelligenti (Italian Technology Cluster For Smart Communities)
National Council for Scientific and Technological Development (CNPq) - Brazil
GAUSS national research project MIUR, PRIN 2015

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