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MLBLM: A Multi-level Load Balancing Mechanism in Agent-Based Grid [chapter]

Mohsen Amini Salehi, Hossain Deldari, Bahare Mokarram Dorri
2006 Lecture Notes in Computer Science  
Load balancing, has a considerable effect on the grid middleware performance. Current load balancing methods cannot satisfy all necessities for the grid.  ...  Cooperation among different levels in this method, removes disadvantages of each level, while satisfy most of load balancing requirements needed.  ...  In this paper, the number of waiting jobs is considered as a criterion for measuring load in a node. Grid-Level Load Balancing In this level, an echo system of intelligent ants is suggested.  ... 
doi:10.1007/11947950_18 fatcat:flzevpakszcdflrqj7basomnoa

Scheduling in Grid Systems using Ant Colony Algorithm

Saeed Molaiy, Mehdi Effatparvar
2014 International Journal of Computer Network and Information Security  
Task scheduling is an important factor that directly influences the performance and efficiency of the system.  ...  This paper presents a new algorithm based on ant colony optimization (ACO) metaheuristic for solving this problem.  ...  On the other hand, Salehi and Deldari (2006) [2] presents an echo system of intelligent, autonomous and cooperative ants.  ... 
doi:10.5815/ijcnis.2014.02.03 fatcat:txp46sexlzbsthzvzded7mq2se

Load Balancing in Computational Grids Using Ant Colony Optimization Algorithm

2014 International journal of computer and communication technology  
balance the load of entire resources on grid.  ...  An Ant Colony Optimization algorithm for load balancing in grid computing is proposed which will determine the best resource to be allocated to the jobs, based on resource capacity and at the same time  ...  However, PSO uses more bandwidth and communication compared to ACO. A study in [3] proposed a new algorithm that is based on an echo intelligent system, autonomous and cooperative ants.  ... 
doi:10.47893/ijcct.2014.1255 fatcat:qfleadh7xfhslgiltzx5ukqm2u

Implementing Machine Learning – Artificial Intelligence for Optimizing Solar PV with Conventional Grid

2020 International journal of recent technology and engineering  
This paper will review different studies in which Artificial Intelligence will be used to make effective decisions regarding the load demand, optimal sizing and positioning of Solar PV energy generating  ...  For integrating the renewable energy source such as Solar PV with the grid, several factors must be kept in mind for ensuring the health of the grid.  ...  Different deep learning and artificial intelligence techniques were used to pinpoint the factors leading to instability of the grid. Pengetal et al.  ... 
doi:10.35940/ijrte.f8451.038620 fatcat:gdx67retkzejdoxcnef7jf2geq

Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review

Jyoti Thaman, Manpreet Singh
2016 International Journal in Foundations of Computer Science & Technology  
Cloud computing is a development of parallel, distributed and grid computing which provides computing potential as a service to clients rather than a product.  ...  A few promising approaches like Metaheuristics, Greedy, Heuristic technique and Genetic are applied for task scheduling in several parallel and distributed systems.  ...  In [16] authors proposed a Load Shared Ant Colony Optimization (LSACO) to balance the load across system. Proposal simulated across tasks and resources of varied types.  ... 
doi:10.5121/ijfcst.2016.6106 fatcat:zlpikdkjgffjppjlfd7xwy2peu

Development of a Hybrid Algorithm for efficient Task Scheduling in Cloud Computing environment using Artificial Intelligence

Mohammed Yousuf Uddin, Hikmat Awad Abdeljaber, Tariq Ahamed Ahanger
2021 International Journal of Computers Communications & Control  
Cloud computing is developing as a platform for next generation systems where users can pay as they use facilities of cloud computing like any other utilities.  ...  and the Ant Colony Optimization (ACO) algorithm in order to optimize the virtual machine scheduling process.  ...  Keshk et al. proposed the modified ACO use in load balancing.  ... 
doi:10.15837/ijccc.2021.5.4087 fatcat:z5lmyfi7cbch5ii2jffbcecglq

Algorithms to Model and Optimize a Stand-Alone Photovoltaic-Diesel-Battery System: An Application in Rural Libya

2021 Tehnički Vjesnik  
The bat algorithm design strategy is applied to reduce the annual cost of the system, taking into consideration the controlled electricity restriction and the optimal numbers of PV panels, diesel generators  ...  This paper introduces a new optimum calculation technique for a stand-alone hybrid photovoltaic-diesel-battery system (PDBS), which meets the energy requirements of a small village in southern Libya.  ...  CONCLUSION This paper has explored a modern approach to simulation efficiency for designing an off-grid hybrid power generation system for meeting loads of several houses and huts in Wadi-Marsit.  ... 
doi:10.17559/tv-20200530094834 fatcat:tfz7n6arzzajtjyqaypok56bwm

A Systematic Review of Load Balancing Techniques in Software-Defined Networking

Mohammad Riyaz Belgaum, Shahrulniza Musa, Muhammad Mansoor Alam, Mazliham Mohd Su'ud
2020 IEEE Access  
The emergence of SDN has given another idea to empower the focal programmability of the system.  ...  Hence, this paper extends and reviews the discussion with a taxonomy of current emerging load balancing techniques in SDN systematically by categorizing the techniques as conventional and artificial intelligence-based  ...  FIGURE 6 . 6 Analysis of metrics used in artificial intelligence-based load balancing techniques. FIGURE 7 . 7 Year-wise analysis of metrics used in conventional load balancing techniques.  ... 
doi:10.1109/access.2020.2995849 fatcat:tcu37qsykfdnpatubzipnnd3bq

2013 Index IEEE Transactions on Industrial Electronics Vol. 60

2013 IEEE transactions on industrial electronics (1982. Print)  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TIE Jan. 2013 203-209 Artificial intelligence Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique.  ...  and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique.  ... 
doi:10.1109/tie.2013.2281744 fatcat:afui5p3njvhu3nknwgwkv2vd64

Table of contents

2020 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)  
Industry Vocational Technology College) Research on Emergency Repair Scheme of Grid Power System Using Gis 226 Qian Zhenghao (Guangdong Power Grid Co., Ltd) and Wu Lixian (Foshan PowerSupply Bureau) Research  ...  Supply Company), and Song Shida (State Grid Yingkou Electric Power Supply Company) Urban Traffic Network Passenger Flow Intelligent Distribution Method Based on Balanced Distribution Model 818 Mao Lin  ... 
doi:10.1109/icmtma50254.2020.00004 fatcat:k6l7a6cj4fefznkis4c4ii6lpm

A Swarm Inspired Method for Efficient Data Transfer

Yutaka KAWAI, Adil HASAN, Go IWAI, Takashi SASAKI, Yoshiyuki WATASE
2012 IEICE transactions on information and systems  
Ants choose the best source of food by selecting the strongest pheromone trail leaving the nest.  ...  We investigate the problem of distributing data between a client and server by using pheromone equations.  ...  Also, the support of Dr. Shantenu Jha and his team for use of the LSU server resource is gratefully acknowledged.  ... 
doi:10.1587/transinf.e95.d.2852 fatcat:ewvrhe7p3vhtbana4kxhakyxsi

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308  ...  4986-4996 Indrusiak, L.S., see Kunzel, G., TII Aug. 2020 5617-5625 Iriondo, N., see Sarachaga, I., 1460-1469 1904-1913 Jia, P., Wang, X., and Zheng, K., Distributed Clock Synchronization Based on Intelligent  ...  Ouyang, Q., +, Enhancing Power Grid Resilience Through an IEC61850-Based EV-Assisted Load Restoration.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

State of the art of machine learning models in energy systems, a systematic review

Mohsen Salimi, Amir Mosavi, Sina Faizollahzadeh Ardabili, Majid Amidpour, Timon Rabczuk, Shahabodin Shamshirband
2020 Zenodo  
Machine learning (ML) models have been widely used in diverse applications of energy systems such as design, modeling, complex mappings, system identification, performance prediction, and load forecasting  ...  This paper presents the state of the art of ML models used in energy systems along with a taxonomy of applications and methods.  ...  This study, presented an upgraded protection device using a newly developed intelligent decision support system (IDSS).  ... 
doi:10.5281/zenodo.4056884 fatcat:yf6gjoevffc2xnzoyjlc3pxbii

[Front matter]

2021 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)  
The theme for ISITIA 2021 is Intelligent Systems for the New Normal Era. All of us have been living the new normal for over a year.  ...  The virtual word is one of our new normal, for us to work, to study, to keep in touch with friends and family, and for rest of the things.  ...  The core of the radar is a relay feedback oscillator, for generating a carrier signal for an ultrasonic transmitter, and is injected with the returned echo signal sensed by an ultrasonic receiver.  ... 
doi:10.1109/isitia52817.2021.9502219 fatcat:mzk67q62vvaotbcatmlcond2ti

Resource discovery for distributed computing systems: A comprehensive survey

Javad Zarrin, Rui L. Aguiar, João Paulo Barraca
2018 Journal of Parallel and Distributed Computing  
In this paper, we provide an investigation on the current state of resource discovery protocols, mechanisms, and platforms for large-scale distributed environments, focusing on the design aspects.  ...  Large-scale distributed computing environments provide a vast amount of heterogeneous computing resources from different sources for resource sharing and distributed computing.  ...  Super-peer based discovery systems aimed to provide an optimum solution to achieve a balance between the built-in efficiency of the hierarchical/centralized system, and the load balancing, self-organization  ... 
doi:10.1016/j.jpdc.2017.11.010 fatcat:v4dfsniptfgbxk6aswjjbtt7nu
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