Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)

Sustainability, Journal Year: 2022, Volume and Issue: 14(19), P. 11982 - 11982

Published: Sept. 22, 2022

As more people utilize the cloud, employment opportunities become available. With constraints such as a limited make-span, high utilization rate of available resources, minimal execution costs, and rapid turnaround time for scheduling, this becomes an NP-hard optimization issue. The number solutions/combinations increases exponentially with magnitude challenge, tasks computing making task scheduling problem NP-hard. result, achieving optimum user is difficult. An intelligent resource allocation system can significantly cut down costs waste resources. For instance, binary particle swarm (BPSO) was created to combat ineffective heuristic approaches. However, optimal solution will not be produced if these algorithms are paired additional or meta-heuristic algorithms. Due temporal complexity algorithms, they less useful in real-world settings. NP problem, variation PSO presented workload balancing cloud computing. Considering updating stated research, our objective function determines heterogeneous virtual machines (VMs) Phave most significant difference completion time. In conjunction load balancing, we developed method placements particles. According experiment results, proposed surpasses existing metaheuristic regarding work balancing. This level success has been attainable because application Artificial Neural Networks (ANN). ANN demonstrated promising outcomes distribution. accurate faster than multilayer perceptron networks at predicting targets.

Language: Английский

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Machine-Learning-Based Traffic Classification in Software-Defined Networks

Electronics, Journal Year: 2024, Volume and Issue: 13(6), P. 1108 - 1108

Published: March 18, 2024

Many research efforts have gone into upgrading antiquated communication network infrastructures with better ones to support contemporary services and applications. Smart networks can adapt new technologies traffic trends on their own. Software-defined networking (SDN) separates the control plane from data runs programs in one place, changing management. New like SDN machine learning (ML) could improve performance QoS. This paper presents a comprehensive study integrating ML quality-of-service (QoS). The primarily investigates classification methods, highlighting significance context of (TC). Additionally, traditional methods are discussed clarify outperformance observed throughout our investigation, underscoring superiority algorithms TC. describes how labeled be used train models for appropriately classifying TC flows. It examines pros downsides dynamic adaptive using algorithms. also may security. explores anomaly detection, intrusion attack mitigation networks, stressing proactive threat-detection response benefits. Finally, we discuss SDN-ML QoS integration problems gaps. Furthermore, scalability issues large-scale implementations identified as potential areas additional research.

Language: Английский

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Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 22938 - 22977

Published: Jan. 1, 2024

Wireless Sensor Networks (WSNs) serve as the backbone for Internet of Things (IoT) and smart cities, enabling gathering essential data vital information. The widespread deployment sensors created new scenarios that presented domains various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention primary method testing evaluating protocols approaches WSN. scientific community has developed simulators, some tailored explicitly WSNs others general use. In addition, an old but renovated direction been enormously grown recently, representing researcher's building its own simulator. However, many researchers struggle select most appropriate tool performance analysis, which requires extensive research into available options. Choosing a suitable simulator meet necessary simulation criteria necessitates exhaustive published studies on have limitations, such limited number under examination, ignoring functions inadequate precise comparison. To get beyond these restrictions in previous offer fresh study compares tools comprehensively, analysis thirty-three different was conducted based taxonomy. Furthermore, this examines advantages constraints each regarding specific academic areas WSNs. Moreover, detailed comparison among according famous metrics.

Language: Английский

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The Artificially Intelligent Switching Framework for Terminal Access Provides Smart Routing in Modern Computer Networks

BOHR International Journal of Smart Computing and Information Technology, Journal Year: 2020, Volume and Issue: 3(1), P. 45 - 50

Published: Jan. 1, 2020

The main page of the web interface provides access to various switch settings and displays all necessary information about device. Admins can quickly view device status, performance statistics, etc. as well make settings. switch’s command-line is accessed by connecting a terminal or personal computer with emulation program installed on console port. In this paper, intelligent switching framework was introduced for provide smart routing. This method most useful when first Internet protocol (IP) address unknown not set, password recovery required, performing advanced command line also be over network using Telnet protocol. user use any administrative convenient himtoconfiguretheswitchbecausethesetoffunctionsavailablethroughthedifferentmanagementinterfacesisthe same each.

Language: Английский

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Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Oct. 13, 2023

Software-defined networking (SDN) has significantly transformed the field of network management through consolidation control and provision enhanced adaptability. However, this paradigm shift concurrently presented novel security concerns. The preservation service path integrity holds significant importance within SDN environments due to potential for malevolent entities exploit flows, resulting in a range breaches. This research paper introduces model called "EnsureS", which aims enhance by proposing an efficient secure validation approach. proposed approach utilizes Lightweight Service Path Validation using Batch Hashing Tag Verification, focusing on improving validation's efficiency environments. EnsureS system two primary techniques order validate pathways efficiently. Firstly, method batch hashing minimize computational overhead. algorithm enhances performance aggregating packets batches rather than independently; process takes place each one pathway. Additionally, implementation tag verification enables devices efficiently verify authenticity leveraging pre-established trust relationships. provides streamlined effective validating paths integrating these methodologies. In assess efficacy Proposed EnsureS, comprehensive series investigations were conducted simulated circumstance. was then compared that established methods. findings our study indicate solution effectively minimizes overhead without compromising standards. successfully reduces impact different types attacks, such as route alteration packet spoofing, increasing networks' general integrity.

Language: Английский

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Early Forest Fire Detection Using a Protocol for Energy-Efficient Clustering with Weighted-Based Optimization in Wireless Sensor Networks

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(5), P. 3048 - 3048

Published: Feb. 27, 2023

Wireless sensor networks (WSNs) have proven to be incredibly useful for forest applications that rely on sensing technologies event detection and monitoring. This radical technology has revolutionized data gathering, analysis, application. Despite the many advantages of this technology, one key drawback is rapid drain batteries caused by their intensive processing activities communication processes. The effectiveness nodes strongly influenced two factors: amount energy they consume length coverage lifetimes. Using our proposed method, we can find fire zones in a forest, detect monitor battlefield surveillance, combat monitoring intruder detection, then wirelessly send all information central station. So, extending life WSNs essential ensure Sensor Nodes (SN) will always available. Our EEWBP (energy-efficient weighted-based protocol) technique uses composite weighted metric includes system elements such as node degree, residual energy, number neighbors’ nodes, average flying speed, trust value, which are evaluated separately added together help cluster-building node-scheduling protocol makes it easy set up clusters SNs, each with own cluster head (CH). way, sent between way least last longer. After putting cluster-based routing strategy place, tested how worked different network parameters. simulation results show consumes less maintains higher level consistency CH than preserving clustering (CPCP), (CACP), aware unequal algorithm (CUCA), low-energy adaptive hierarchy (LEACH). also shows better packet delivery rate an improvement first-node death.

Language: Английский

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Task Scheduling and Load Balancing in SDN-based Cloud Computing: A Review of Relevant Research

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

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Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution

Sensors, Journal Year: 2023, Volume and Issue: 23(7), P. 3395 - 3395

Published: March 23, 2023

Software Defined Networking (SDN) is a communication alternative to increase the scalability and resilience of microgrid hierarchical control. The common architecture has centralized monolithic topology, where controller highly susceptible latency problems, resiliency, issues. This paper proposes novel intelligent control network improve performance communications, solving typical drawback SDN controllers. controller's functionalities are segregated into microservices groups distributed through bare-metal Kubernetes cluster. Results presented from PLECS hardware in loop simulation validate seamless transition between standard networked microgrid. significantly impact controller, decreasing by 10.76% compared with architecture. Furthermore, proposed approach demonstrates 42.23% decrease packet loss versus topologies 53.41% reduction recovery time during failures. Combining can eliminate single point failure control, application time, enhance containerization benefits, including security portability. proposal represents reference framework for future edge computing approaches microgrids.

Language: Английский

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Performance and Scalability Analysis of SDN-Based Large-Scale Wi-Fi Networks

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(7), P. 4170 - 4170

Published: March 24, 2023

The Software-Defined Networking (SDN) paradigm is one that utilized frequently in data centers. Wireless Networking, often known as SDWN, refers to an environment which concepts from SDN are implemented wireless networks. SDWN struggling with challenges of scalability and performance a result the growing number networks its coverage area. It thought techniques, such Mininet-Wi-Fi Ryu Controller for networks, can overcome problems performance. Existing Wi-Fi systems do not provide execution end clients, reason why capability restricted on architecture. Within scope this study, we analyzed operating using Transmission Control Protocol (TCP) User Datagram (UDP). By utilizing testbed consisting Mininet-Wi-Fi, were able test over evaluate addition scalability. When evaluating network, take into account different metrics, bandwidth, round-trip time, jitter. In order assess level performance, SDN-based controller linked increasing access points (1, 2, 3, 4) well stations (10, 30, 50, 100). experimental findings obtained indicate dependability network provided by environment. addition, time TCP packets grows proportionally hops involved. A single point capable simultaneously supporting up fifty people at once.

Language: Английский

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Assessment on Significant SVM and MLP-Based Optimized Resource Allocation for Load Balancing

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 402 - 412

Published: Jan. 1, 2025

Language: Английский

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