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An Effective Allocation Model of Computer Teaching Management Resources Based on Particle Swarm Optimization

Xiang Yang
2019 International Journal of Emerging Technologies in Learning (iJET)  
For this purpose, the author systematically investigated the allocation of computer teaching management resources, and set up an effective allocation model of such resources based on particle swarm optimization  ...  The research results show that the PSO-based model can coordinate the allocation of computer teaching management resources, enhance the utilization rate of teaching resources, and prevent resource waste  ...  An Allocation Model of Computer Teaching Management Resource Based on Particle Swarm Optimization A PSO-based allocation model of computer education resources According to the correlation theory of particle  ... 
doi:10.3991/ijet.v14i18.11189 fatcat:pdrtqedebzc5zhhlrnj46g6v5i

Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm

Prasanth Rao Adiraju, Voore Subba Rao
2022 Emitter: International Journal of Engineering Technology  
Particle Swarm Optimization (PSO) algorithm is a Swarm Intelligence algorithm for optimization of mapping between BBU-RRH for resource allocation in C-RAN.  ...  The aim of this paper proposed an energy-efficient C-RAN to minimize the cost of the network by dynamically allocating BBU resources to RRHs as per facing traffic, and also minimize the energy consumption  ...  SYSTEM DESIGN 4.1 PARTICLE SWARM OPTIMIZATION (PSO) Particle Swarm Optimization -Particle Swarm Optimization(PSO) is Swarm Intelligence algorithm.  ... 
doi:10.24003/emitter.v10i1.661 doaj:3b03c46d3d6c4706ac1c2fd7119814b5 fatcat:ewpijzjocfghpjyenlrvx6jn24

ADAI and Adaptive PSO based Resource Allocation for Wireless Sensor Networks

Amrit Mukherjee, Pratik Goswami, Ziwei Yan, Lixia Yang, Joel J. P. C. Rodrigues
2019 IEEE Access  
Moreover, for intra-cluster resource allocation, this paper introduces Adaptive Particle Swarm Optimization (APSO), which uses its objective functions as the node distance and respective energy loads.  ...  INDEX TERMS Particle swarm optimization, adaptive PSO (APSO), distributed artificial intelligence (DAI), resource allocation.  ...  The authors in [23] improved the binary particle swarm optimization algorithm based on neural network and applied it to the resource allocation process in WSNs to obtain the optimal scheme, which improved  ... 
doi:10.1109/access.2019.2940821 fatcat:jk32vhkjjvdd3cridsyohfswpm

An Appraisal of Meta-Heuristic Resource Allocation Techniques for IaaS Cloud

Syed Hamid Hussain Madni, Muhammad Shafie Abd Latiff, Yahaya Coulibaly, Shafi'i Muhammad Abdulhamid
2016 Indian Journal of Science and Technology  
Findings: From the analytical study, we pointed out the various issues addressed (optimal and dynamically resource allocation, energy and QoS aware resource allocation, VM allocation and placement) through  ...  resource allocation meta-heuristics algorithms.Whereas, the improvement shows better performance concerns minimizing the execution and response time, energy consumption and cost while enhancing the efficiency  ...  R.J130000.7828.4F324 and Vote No.Q.J130000.2528.05H87 respectively.  ... 
doi:10.17485/ijst/2016/v9i4/80561 fatcat:6nkiflrh4naqrbnzi2iehywzde

Research on Water Resources Saving Based on Chaotic Particle Swarm Optimization

Yongcong Jiang
2022 Strategic Planning for Energy and the Environment  
To improve the saving level of water resources, and the optimal allocation model of water resources is constructed, and the chaotic particle swarm optimization is established to solve the optimal allocation  ...  Thirdly, the chaotic particle swarm optimization model is established, and the analysis procedure of the proposed algorithm is designed.  ...  This research aims to carry out optimal allocation of water resources based on the chaotic particle swarm optimization [3, 4] .  ... 
doi:10.13052/spee1048-5236.4121 fatcat:wmwb2pp3xvaczljui5uu4eknz4

Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center

An-ping Xiong, Chun-xiang Xu
2014 Mathematical Problems in Engineering  
and the particle swarm optimization (PSO) method.  ...  To reduce energy consumption in cloud data center, an energy efficient virtual machine allocation algorithm is proposed in this paper based on a proposed energy efficient multiresource allocation model  ...  Based on the model and the particle swarm optimization (PSO), a multiresource energy efficiency based on particle swarm optimization (MREE-PSO) algorithm is designed and applied to VMs allocation for energy  ... 
doi:10.1155/2014/816518 fatcat:vzrmobeawna3tk4immv2x65ouu


Manoj Kumar, Suman
2021 Indian Journal of Computer Science and Engineering  
The applications of these algorithms in load balancing, scheduling, resource allocation, virtual machine allocation, and placement have been discussed and analyzed in cloud computing.  ...  Researchers have applied various swarm intelligence, nature inspired, and hybrid algorithms to find a pare-to optimal solution for them.  ...  Resource scheduling and management allow high profit to the cloud provider by increasing their utilization by allocating different resources to users.  ... 
doi:10.21817/indjcse/2021/v12i2/211202055 fatcat:zkbrbegn2rfall5w3e4ovvarwq

Eagle Strategy with Cauchy Mutation Particle Swarm Optimization for Energy Management in Cloud Computing

Archana Kollu, Koneru Lakshmaiah Education Foundation, Sucharita Vadlamudi, Koneru Lakshmaiah Education Foundation
2020 International Journal of Intelligent Engineering and Systems  
We propose, Eagle Strategy (ES) based Modified Particle Swarm Optimization (ES-MPSO) to minimize the energy consumption and SLA violation.  ...  The simulation result shows that the energy consumption of ES-MPSO is 42J and Particle Swarm Optimization (PSO) is 51J.  ...  The supervision and management of the project was carried out by the second author.  ... 
doi:10.22266/ijies2020.1231.05 fatcat:4rax46syd5c5zluhnnbhkgblme

Cost Effective Ant Colony Optimization in Cloud Computing

Task scheduling is one among the many important issues to be dealt with. It means to optimize overall system capabilities and to allocate the right resources.  ...  The task is allotted to the number of VMs based on the priorities (highest to lowest) given by user.  ...  Author compared and analyzed particle swarm optimization with crossover and mutation and local search algorithm depends on particle swarm optimization.  ... 
doi:10.35940/ijitee.j9460.0881019 fatcat:7lbdjsfltjacpeorwjxxa52pfy

An Analysis of Task Scheduling in Cloud Computing using Evolutionary and Swarm-based Algorithms

Saurabh Bilgaiyan, Santwana Sagnika, Madhabananda Das
2014 International Journal of Computer Applications  
This paper analyzes various evolutionary and swarm based task scheduling algorithms that address the above mentioned problem.  ...  Cloud computing is a popular computing paradigm that performs processing of huge volumes of data using highly available geographically distributed resources that can be accessed by users on the basis of  ...  In this paper, the authors summarily present a study of various swarm-based and evolutionary optimization techniques effectively used for task-resource mapping and scheduling on cloud computing systems  ... 
doi:10.5120/15473-4158 fatcat:f6zqwehlq5cidey2yszxzsj35a

LBPSGORA: Create Load Balancing with Particle Swarm Genetic Optimization Algorithm to Improve Resource Allocation and Energy Consumption in Clouds Networks

Seyedeh Maedeh Mirmohseni, Amir Javadpour, Chunming Tang, Nazrul Islam
2021 Mathematical Problems in Engineering  
In this research, combining the results of the particle swarm genetic optimization (PSGO) algorithm and using a combination of advantages of these two algorithms lead to the improvement of the results  ...  Due to the purpose of this study that reducing power consumption in the cloud network is based on load balancing, the fitness function measures the load balance between cloud network and servers (the hosts  ...  resource allocation and requests management, there has not been much attention paid to energy efficiency in it.  ... 
doi:10.1155/2021/5575129 fatcat:iqaurfdgebconofcmunybd3vxa

Optimal Allocation of Human Resources Recommendation Based on Improved Particle Swarm Optimization Algorithm

Jintong Wei, Lianhui Li
2022 Mathematical Problems in Engineering  
It is an evolutionary computation technique based on the swarm intelligence method, which is similar to genetic algorithms and is a population-based optimization tool.  ...  People are the most dynamic factor of productivity, and human resource allocation is both the starting point and the end point of human resource management.  ...  Based on the above analysis, this paper presents an information particle swarm algorithm design based on optimal resource allocation.  ... 
doi:10.1155/2022/2010685 fatcat:udvxowdoivdmnmd4rxkbdhakvu


2013 Journal of Computer Science  
Survey the various resource management techniques based on the performance measurement factors like time complexity, Space complexity and Energy complexity find the ORMTO with Grid computing.  ...  In proposed work, Grid Computing is an Internet based computing for Optimal Resource Management Technique Operations (ORMTO).  ...  ORMT Based for Fault Tolerance Resource Selection Based on Single Sign on, Hybrid Genetic GRP-PSO is combination of Particle Swarm optimization (PSO) algorithm and Grid Resource Prediction Pattern (GRP  ... 
doi:10.3844/jcssp.2013.1051.1060 fatcat:l6mvcbgqubdwvmepqtwtwa7kuu

Adaptive management and multi-objective optimization of virtual machine in cloud computing based on particle swarm optimization

Shuxiang Li, Xianbing Pan
2020 EURASIP Journal on Wireless Communications and Networking  
computing is proposed based on particle swarm optimization (PSO).  ...  The multiobjective optimization problem of adaptive management of virtual machine placement is transformed into particle swarm optimization problem to realize adaptive management and multi-objective optimization  ...  Li and Pan EURASIP Journal on Wireless Communications and Networking (2020) 2020:102  ... 
doi:10.1186/s13638-020-01722-4 fatcat:k4gqpzujsvamrp2oixk2zkztvi

Optimized Scheduling for Cost and Energy Consumption Minimization in Cloud Computing Networks based on Fuzzy-PSO

Asgar Ebrahimi
2020 Zenodo  
In this research, the optimal particle swarm algorithm for scheduling tasks between data centers is used which has shown great success in solving continuous optimization problems.  ...  These resources can be rapidly acquired and released with minimal management effort or the need to interact with the service provider.  ...  The key issue is the management of resources and machines alongside task and investigations on scheduling strategies.  ... 
doi:10.5281/zenodo.3775253 fatcat:gg3gbcqccbectdnu7snjfn5j4i
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