Comprehensive review of load balancing in cloud computing system DOI Open Access
Mayowa O. Oyediran, Olufemi S. Ojo, Sunday Adeola Ajagbe

et al.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 14(3), P. 3244 - 3244

Published: April 4, 2024

Load balancing plays a critical role in optimizing resource utilization and enhancing performance cloud computing systems. As environments grow scale complexity, efficient load mechanisms become increasingly vital. This paper presents comprehensive review of techniques systems, with focus on their applicability, advantages, limitations. The encompasses both static dynamic approaches, evaluating effectiveness addressing the challenges posed by infrastructure, such as heterogeneity, scalability, variability workload demands. Furthermore, examines algorithms considering factors utilization, response time, fault tolerance, energy efficiency. Additionally, impact metrics, including throughput, latency, is analyzed. aims to provide insights into state-of-the-art strategies serve valuable for researchers, practitioners, system designers involved development optimization

Language: Английский

Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems DOI
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour

et al.

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(8), P. 22909 - 22973

Published: Aug. 9, 2023

Language: Английский

Citations

87
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service DOI
Sarina Aminizadeh, Arash Heidari, Mahshid Dehghan

et al.

Artificial Intelligence in Medicine, Journal Year: 2024, Volume and Issue: 149, P. 102779 - 102779

Published: Jan. 24, 2024

Language: Английский

Citations

63
The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors DOI Open Access
Zahra Mohtasham‐Amiri, Arash Heidari, Mehdi Darbandi

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(16), P. 12406 - 12406

Published: Aug. 15, 2023

With the swift pace of development artificial intelligence (AI) in diverse spheres, medical and healthcare fields are utilizing machine learning (ML) methodologies numerous inventive ways. ML techniques have outstripped formerly state-of-the-art practices, yielding faster more precise outcomes. Healthcare practitioners increasingly drawn to this technology their initiatives relating Internet Behavior (IoB). This area research scrutinizes rationales, approaches, timing human adoption, encompassing domains Things (IoT), behavioral science, edge analytics. The significance applications based on IoB stems from its ability analyze interpret copious amounts complex data instantly, providing innovative perspectives that can enhance outcomes boost efficiency IoB-based procedures thus aid diagnoses, treatment protocols, clinical decision making. As a result inadequacy thorough inquiry into employment ML-based approaches context using for applications, we conducted study subject matter, introducing novel taxonomy underscores need employ each method distinctively. objective mind, classified cutting-edge solutions challenges five categories, which convolutional neural networks (CNNs), recurrent (RNNs), deep (DNNs), multilayer perceptions (MLPs), hybrid methods. In order delve deeper, systematic literature review (SLR) examined critical factors, such as primary concept, benefits, drawbacks, simulation environment, datasets. Subsequently, highlighted pioneering studies issues. Moreover, several related implementation medicine been tackled, thereby gradually fostering further endeavors health studies. Our findings indicated Tensorflow was most commonly utilized setting, accounting 24% proposed by researchers. Additionally, accuracy deemed be crucial parameter majority papers.

Language: Английский

Citations

61
A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models DOI Creative Commons
Arash Heidari, Nima Jafari Navimipour, Hasan Dağ

et al.

Cognitive Computation, Journal Year: 2024, Volume and Issue: 16(3), P. 1073 - 1091

Published: Jan. 26, 2024

Abstract In recent years, the proliferation of deep learning (DL) techniques has given rise to a significant challenge in form deepfake videos, posing grave threat authenticity media content. With rapid advancement DL technology, creation convincingly realistic videos become increasingly prevalent, raising serious concerns about potential misuse such Deepfakes have undermine trust visual media, with implications for fields as diverse journalism, entertainment, and security. This study presents an innovative solution by harnessing blockchain-based federated (FL) address this issue, focusing on preserving data source anonymity. The approach combines strengths SegCaps convolutional neural network (CNN) methods improved image feature extraction, followed capsule (CN) training enhance generalization. A novel normalization technique is introduced tackle heterogeneity stemming from global sources. Moreover, transfer (TL) preprocessing are deployed elevate performance. These efforts culminate collaborative model zfacilitated blockchain FL while maintaining utmost confidentiality effectiveness our methodology rigorously tested validated through extensive experiments. experiments reveal substantial improvement accuracy, impressive average increase 6.6% compared six benchmark models. Furthermore, demonstrates 5.1% enhancement area under curve (AUC) metric, underscoring its ability outperform existing detection methods. results substantiate proposed countering conclusion, represents promising avenue advancing detection. By leveraging resources power we critical need As continues grow, comprehensive provides effective means protect integrity trustworthiness far-reaching both industry society. work stands step toward menace content rapidly evolving digital landscape.

Language: Английский

Citations

43
A GSO‐based multi‐objective technique for performance optimization of blockchain‐based industrial Internet of things DOI
Kouros Zanbouri, Mehdi Darbandi, Mohammad Nassr

et al.

International Journal of Communication Systems, Journal Year: 2024, Volume and Issue: 37(15)

Published: July 15, 2024

Summary The latest developments in the industrial Internet of things (IIoT) have opened up a collection possibilities for many industries. To solve massive IIoT data security and efficiency problems, potential approach is considered to satisfy main needs IIoT, such as high throughput, security, efficiency, which named blockchain. blockchain mechanism significant boosting protection performance. In quest amplify capabilities blockchain‐based pivotal role accorded Glowworm Swarm Optimization (GSO) algorithm. Inspired by collaborative brilliance glowworms nature, GSO algorithm offers unique harmonizing these conflicting aims. This paper proposes new improve performance optimization using due blockchain's contradictory objectives. proposed system addresses scalability challenges typically associated with technology efficiently managing interactions among nodes dynamically adapting network demands. optimizes allocation resources decision‐making, reducing inefficiencies bottlenecks. method demonstrates considerable improvements through extensive simulations compared traditional algorithms, offering more scalable efficient solution applications context IIoT. simulation computational study shown that considerably improves objective function systems' algorithms. It provides secure systems industries corporations.

Language: Английский

Citations

22
Design of stochastic neural networks for the fifth order system of singular engineering model DOI
Zulqurnain Sabir, Mohammed M. Babatin, Atef F. Hashem

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108141 - 108141

Published: March 1, 2024

Language: Английский

Citations

12
A Critical Analysis of Cooperative Caching in Ad Hoc Wireless Communication Technologies: Current Challenges and Future Directions DOI Creative Commons
Muhammad Ali Naeem, Rehmat Ullah,

Sushank Chudhary

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 1258 - 1258

Published: Feb. 19, 2025

The exponential growth of wireless traffic has imposed new technical challenges on the Internet and defined approaches to dealing with its intensive use. Caching, especially cooperative caching, become a revolutionary paradigm shift advance environments based technologies enable efficient data distribution support mobility, scalability, manageability networks. Mobile ad hoc networks (MANETs), mesh (WMNs), Wireless Sensor Networks (WSNs), Vehicular (VANETs) have adopted caching practices overcome these hurdles progressively. In this paper, we discuss problems issues in current paradigms as well spotlight versatile potential solution increasing complications We classify multiple schemes distinct communication contexts highlight advantages applicability. Moreover, identify research directions further study enhance mechanisms concerning This extensive review offers useful findings design sound strategies pursuit enhancing next-generation

Language: Английский

Citations

1
Grid-connected desalination plant economic management powered by renewable resources utilizing Niching Chimp Optimization and hunger game search algorithms DOI

Yuanshuo Guo,

Yassine Bouteraa, Mohammad Khishe

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: 42, P. 100976 - 100976

Published: Feb. 2, 2024

Language: Английский

Citations

8
A comprehensive review on internet of things task offloading in multi-access edge computing DOI Creative Commons

Wang Dayong,

Kamalrulnizam Bin Abu Bakar,

Babangida Isyaku

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29916 - e29916

Published: April 22, 2024

With the rapid development of Internet Things (IoT) technology, Terminal Devices (TDs) are more inclined to offload computing tasks higher-performance servers, thereby solving problems insufficient capacity and battery consumption TD. The emergence Multi-access Edge Computing (MEC) technology provides new opportunities for IoT task offloading. It allows TDs access networks through multiple communication technologies supports mobility terminal devices. Review studies on offloading MEC have been extensive, but none them focus in MEC. To fill this gap, paper a comprehensive in-depth understanding algorithms mechanisms network. For each paper, main solved by mechanism, technical classification, evaluation methods, supported parameters extracted analyzed. Furthermore, shortcomings current research future trends discussed. This review will help potential researchers quickly understand panorama approaches find appropriate paths.

Language: Английский

Citations

6
Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions DOI Creative Commons
Liwen Zhang, Faizan Qamar, Mahrukh Liaqat

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 76606 - 76633

Published: Jan. 1, 2024

The next generation (6G) wireless communication technology has super advantages in high transmission rates scenarios. Internet of Things (IoT) been applied recent years due to its wide connection. However, effective resource optimization methods must be analyzed meet the requirements key performance indicators 6G IoT networks. This paper discusses a general investigation strategies system. study aims find main solutions optimize network performance. First, an overall summary current research is preferred latency, reliability, Energy Efficiency (EE), Spectrum (SE), bandwidth utilization efficiency, rate, and power efficiency. Second, we propose multi-indicator tradeoff associated with latest approaches investigate optimal strategies. Furthermore, show limitations discuss future works for devices communication. Our survey help researchers using advanced techniques.

Language: Английский

Citations

6