A Unified Model for Efficient Application Life-Cycle Management in the Mobile-Edge-Cloud Continuum

The convergence of mobile, edge, and cloud systems creates a unified computing environment that allows applications to operate dynamically across a variety of platforms. To improve performance, lower latency, and optimize resource use, this paper presents A3-E, a comprehensive framework for managing application lifecycles within this ecosystem. A3-E utilizes the Functions as a Service (FaaS) model to efficiently distribute microservices across mobile, edge, and cloud layers. By enabling adaptive service allocation based on contextual and operational needs, A3-E utilizes the Functions a Service (FaaS) model. Experimental findings reveal that A3-E can reduce latency by as much as 90 % and battery usage by up to 74 %, offering a robust and scalable solution for real-time distributed applications.

Authors

Institutions

Publication Details

Published
2025-04-02
DOI
https://doi.org/10.23919/indiacom66777.2025.11115863
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Unified Model for Efficient Application Life-Cycle Management in the Mobile-Edge-Cloud Continuum

Deepak Kaul
1 links
Cloud Computing and Resource Management
article

A Unified Model for Efficient Application Life-Cycle Management in the Mobile-Edge-Cloud Continuum

Deepak Kaul
article en

Abstract

The convergence of mobile, edge, and cloud systems creates a unified computing environment that allows applications to operate dynamically across a variety of platforms. To improve performance, lower latency, and optimize resource use, this paper presents A3-E, a comprehensive framework for managing application lifecycles within this ecosystem. A3-E utilizes the Functions as a Service (FaaS) model to efficiently distribute microservices across mobile, edge, and cloud layers. By enabling adaptive service allocation based on contextual and operational needs, A3-E utilizes the Functions a Service (FaaS) model. Experimental findings reveal that A3-E can reduce latency by as much as 90 % and battery usage by up to 74 %, offering a robust and scalable solution for real-time distributed applications.

Marriott International (Canada) (CA)
Responsible consumption and production
Openalex Percentile: Top 68%
Cloud Computing and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.