Microservices enabled bidirectional fault-tolerance scheme for healthcare internet of things DOI
Mohammed Maray,

Sahibzada Muhammad Rizwan,

Ehzaz Mustafa

et al.

Cluster Computing, Journal Year: 2023, Volume and Issue: 27(4), P. 4621 - 4633

Published: Nov. 30, 2023

Language: Английский

Computing: Looking Back and Moving Forward DOI
Muhammed Golec, Sukhpal Singh Gill

Published: Jan. 1, 2024

The Internet and computer commercialization have transformed the computing systems area over past sixty years, affecting society.Computer evolved to meet diverse social needs thanks technological advances.The of Things (IoT), cloud computing, fog edge other emerging paradigms provide new economic creative potential.Therefore, this article explores evaluates elements impacting advancement platforms, including both long-standing frameworks more recent innovations like quantum technology, AI.In article, we examine paradigms, domains, next-generation better understand past, present, future technologies.This paper provides readers with a comprehensive overview developments in technologies highlights promising research gaps for systems.

Language: Английский

Citations

4
Comparative Analysis of Rule-based Heuristic Algorithms for Microservice Chain Placement in Fog Computing DOI Creative Commons
Michael Stephen Moses Pakpahan, Lukito Edi Nugroho,

Widyawan Widyawan

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104299 - 104299

Published: Feb. 1, 2025

Language: Английский

Citations

0
A novel middleware for adaptive and efficient split computing for real-time object detection DOI Creative Commons
Matteo Mendula, Paolo Bellavista, Marco Levorato

et al.

Pervasive and Mobile Computing, Journal Year: 2025, Volume and Issue: unknown, P. 102028 - 102028

Published: Feb. 1, 2025

Language: Английский

Citations

0
Latency Aware and Resource-Efficient Bin Pack Autoscaling for Distributed Event Queues: Parameters Impact and Setting DOI
Mazen Ezzeddine,

Françoise Baudé,

Fabrice Huet

et al.

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(3)

Published: Feb. 24, 2025

Language: Английский

Citations

0
RAS-IoT: A Container-Based Solution for IoT Application Replacement DOI

Vladimir Gualberto da Silva,

Fernando Lins, Nelson Souto Rosa

et al.

Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 430 - 441

Published: Jan. 1, 2025

Language: Английский

Citations

0
Fog-IoPM: Fog computing for Internet of Plants data management DOI Creative Commons
Yassine Boukhali, Mohammed Nabil Kabbaj, Mohammed Benbrahim

et al.

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02682 - e02682

Published: April 1, 2025

Language: Английский

Citations

0
A Survey on Services Placement Algorithms in Integrated Cloud-Fog / Edge Computing DOI
Imane Taleb, Jean‐Loup Guillaume,

Benjamin Duthil

et al.

ACM Computing Surveys, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

The evolution of computing paradigms, such as Fog and Edge, has led to the emergence new applications that require a placement services close end users. Optimal over network nodes is therefore an important issue in integrated Cloud-Fog / Edge environments. service problem challenging due complexity distributed systems, limited resources, constraints, global efficiency application quality requirements for This survey attempts provide comprehensive structured presentation research Edge. We propose classification approaches by adopting algorithmic viewpoint breakdown into three categories: graph-based, heuristics machine-learning approaches. also analysis some discussions methods, identify future challenges issues case microservices. hope this will better understanding solutions directions taken on topic.

Language: Английский

Citations

0
Service Placement in Fog Computing Using a Combination of Reinforcement Learning and Improved Gray Wolf Optimization Method DOI

Pouria Ashkani,

Seyyed Hamid Ghafouri,

Maliheh Hashemipour

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(9-11)

Published: April 24, 2025

ABSTRACT Fog computing extends cloud to the edge of network, bringing processing and storage capabilities closer end users Internet Things (IoT) devices. This paradigm helps reduce latency, improve response time, optimize bandwidth usage. In environment, service availability is a criterion for determining user satisfaction, which strongly influenced by time optimal allocation network resources (communication bandwidth). Service placement in fog refers process locations placing services network. this paper, done being aware volume requests from nodes using neural networks, reinforcement learning, improved gray wolf optimization (IGWO) method. Based on results obtained simulation, proposed approach has less (between 5% 21%), more favorable load balance, utility value (12%) lower Energy consumption minimum 10% maximum 25%.

Language: Английский

Citations

0
Energy Metrics for Edge Microservice Request Placement Strategies DOI
Klervie Toczé, Simin Nadjm‐Tehrani

Published: May 3, 2025

Language: Английский

Citations

0
Microservice instances selection and load balancing in fog computing using deep reinforcement learning approach DOI

Wassim Boudieb,

Abdelhamid Malki, Mimoun Malki

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 156, P. 77 - 94

Published: March 4, 2024

Language: Английский

Citations

3