Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Language: Английский

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A Comprehensive Review of Cloud Computing Virtual Machine Consolidation

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 106190 - 106209

Published: Jan. 1, 2023

In the last decade, users can access their applications, data, and services via cloud from any location with an internet connection. The scale of heterogeneous environments is continuously growing due to development computing-intensive smart devices. A data center central processing unit environment, it made up hardware-oriented machines known as Physical Machines (PMs) or server software-oriented Virtual (VMs). deployment a huge number physical servers result exponential in demand for has resulted high energy consumption ineffective resource usage. Efficient utilization minimizing power by have become crucial challenges. machine consolidation(VMC) method optimizing computing resources consolidating multiple VMs onto reduced PMs. By running fewer servers, VM consolidation lead reducing efficient utilization. This review paper presents comprehensive analysis virtual consolidation, exploring various strategies, benefits, challenges, future trends this domain. examining wide range literature year 2015 2023, attempts provide insight into current state its possible effects on performance sustainability computing. main flaw articles that authors focused different assessment metrics while emphasis should been improving efficiency quality service systems. Future research be aimed at developing multi-objective system emphasizes usage without sacrificing quality, preventing level agreements being compromised.

Language: Английский

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IDBNWP: Improved deep belief network for workload prediction: Hybrid optimization for load balancing in cloud system

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Language: Английский

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Reliability-Constrained Task Scheduling for DAG Applications in Mobile Edge Computing

Wireless Communications and Mobile Computing, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 12

Published: Jan. 29, 2024

The development of the internet things (IoT) and 6G has given rise to numerous computation-intensive latency-sensitive applications, which can be represented as directed acyclic graphs (DAGs). However, achieving these applications poses a huge challenge for user equipment (UE) that are constrained in computational power battery capacity. In this paper, considering different requirements various task scenarios, we aim optimize execution latency energy consumption entire mobile edge computing (MEC) system. system consists single UE multiple heterogeneous MEC servers improve efficiency DAG application. addition, reliability application is viewed constraint. Based on strong search capability Pareto optimality theory cuckoo (CS) algorithm our previously proposed improved multiobjective (IMOCS) algorithm, initialization process update strategy external archive, propose reliability-constrained (RCMOCS) algorithm. According simulation results, RCMOCS able obtain better frontiers achieve satisfactory performance while ensuring reliability.

Language: Английский

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A New Hybrid Algorithm Based on the Firefly Algorithm and Cuckoo Search to Estimate Survival Analysis of Truncated Inverse Gompertz Distribution

Iraqi Journal of Science, Journal Year: 2024, Volume and Issue: unknown, P. 891 - 906

Published: Feb. 29, 2024

This paper introduces the Right Truncated Inverse Gompertz Distribution (RTIGD) with two parameters δ and ϑ some of its properties as; (Survival-Function, Hazard-Function, cumulative distribution function, probability density ‎r-th moment, mean, variance, Moment Generating Function, Median, Mode. In addition, we propose a new hybrid algorithm, namely firefly Algorithm Cuckoo Search (FA_CSA) to estimate based on survival functions RTIGD. Simulation is utilized compare proposed algorithm traditional methods, for example, Maximum Likelihood Estimator moment method standard algorithms Firefly Search. most cases, results demonstrate that provides an accurate estimation function since it has less mean squared error than other methods.

Language: Английский

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Research on Sustainable Scheduling of Material-Handling Systems in Mixed-Model Assembly Workshops Based on Deep Reinforcement Learning

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 10025 - 10025

Published: Nov. 17, 2024

In order to dynamically respond changes in the state of assembly line and effectively balance production efficiency energy consumption mixed-model assembly, this paper proposes a deep reinforcement learning sustainable scheduling model based on Deep Q network. According particularity workshop material-handling system, action strategy reward punishment function are designed, neural network structure, parameter update method, experience pool selection method original dual improved. Prioritized replay is adopted form real-time for material handling Experience Replay The simulation results demonstrate that compared with other methods, approach significantly optimizes mixed-flow workshops, reducing distance while ensuring timely delivery line, ultimately achieving maximum output considerations.

Language: Английский

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Evaluation of Secure Methods for Migrating Virtual Machines to the Cloud

Published: Feb. 9, 2024

Cloud services are becoming more popular due to their numerous benefits, such as low cost, dependability, and user-friendliness. Data security protocols have been created in response the increasing demand. It is critical for cloud computing ensure that data can only be accessed by authorized users. To safeguard cloud-based platforms, ML-dependent solutions employed, even though cryptographic procedures still principal means of guaranteeing security. Any information technology infrastructure might benefit significantly from artificial intelligence's capacity assess real-time while providing threat information. When migrating VMs, it crucial keep consideration. Conducting an analysis methods used during VM migration primary goal this work. Beyond that, we covered various ML In addition, certain properties accuracy, security, computational speed, time savings, throughput, so on compare with algorithms inference gathering. Apart comparative based approaches has done metrics like authentication process, delay, throughput CIA triad We could enhance through integrating cryptography procedures.

Language: Английский

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Energy Efficient Approach for Virtual Machine Placement Using Cuckoo Search

Lecture notes in networks and systems, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 17

Published: Oct. 25, 2023

Language: Английский

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