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Journal articles on the topic 'Cloud Load Balancing'

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Published: 7 June 2025

Last updated: 2 August 2025

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1

Amandeep, Kaur, and Nagpal Pooja. "A SURVEY ON LOAD BALANCING IN CLOUD COMPUTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal of Multidisciplinary Research and Modern Education 2, no. 2 (2016): 418–23. https://doi.org/10.5281/zenodo.192681.

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<em>Since its inception, the cloud computing paradigm has gained the widespread popularity in the industry and academia. The economical, scalable, expedient, ubiquitous, and on-demand access to shared resources are some of the characteristics of the cloud that have resulted in shifting the business processes to the cloud.</em><em> The cloud computing attracts the attention of research community due to its potential to provide tremendous benefits to the industry and the community. But with the increasing demand of the cloud computing, there are some challenges also. The main cloud computing cha

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TV, Rashmi. "Load Balancing using Genetic Algorithm with Cloud SIM Simulator in Open Source." International Journal of Innovative Research in Information Security 10, no. 04 (2024): 162–67. http://dx.doi.org/10.26562/ijiris.2024.v1004.08.

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Clouds are highly configurable infrastructure that offer software and platforms as a service, enabling users to subscribe for the services they need using a pay-as-you-go model. The popularity of cloud computing is growing due to its straightforward, service-oriented architecture. Every day, more and more people are using the cloud. Cloud computing is typically built on data centres with the capacity to support huge numbers of users. The ability of clouds to manage loads determines how reliable they are in order to address this issue; clouds need to include a load balancing system. In cloud co

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Kumar, Ashutosh. "A Literature Survey on Algorithms for the Optimal Load Balancing in Cloud Computing Environments." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 168–72. http://dx.doi.org/10.22214/ijraset.2022.42845.

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Abstract: This paper provides a survey of the existing literature and research carried out in the area of Optimal load balancing in servers. Load balancing in cloud computing is one of the important aspects for efficient delivery of resources and computing . The process of distributing workloads and computing resources in a cloud computing environment is cloud load balancing. It allows enterprises to manage application or workload demands by allocating resources among multiple computers, networks or servers. Hosting the distribution of workload traffic and demands that reside over the internet

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Badshaha, P. Mulla, Rama Krishna C., and Kumar Tickoo Raj. "Load Balancing Algorithm for Efficient VM Allocation in Heterogeneous Cloud." International Journal of Computer Networks & Communications (IJCNC) 12, no. 1 (2020): 83–96. https://doi.org/10.5281/zenodo.3712124.

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Cloud computing is a growing service computing trend that offers users a range of on-demand variety of services from applications, processing capability, and storage based on the concept of the “Pay-As-PerUse” model. Organizations from every sector are now realizing the benefits offered by cloud computing technology and moving towards the cloud. Cloud computing offers numerous advantages over conventional computing. However, it still faces a few challenges such as resource utilization in a cloud data centre and quality of service to the end-users due to improper workload balance am

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Huang, Weihua, Zhong Ma, Xinfa Dai, Mingdi Xu, and Yi Gao. "Fuzzy Clustering with Feature Weight Preferences for Load Balancing in Cloud." International Journal of Software Engineering and Knowledge Engineering 28, no. 05 (2018): 593–617. http://dx.doi.org/10.1142/s021819401850016x.

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Load balancing, which redistributes dynamic workloads across computing nodes within cloud to improve resource utilization, is one of the main challenges in cloud computing system. Most existing rule-based load balancing algorithms failed to effectively fuse load data of multi-class system resources. The strategies they used for balancing loads were far from optimum since these methods were essentially performed in a combined way according to load state. In this work, a fuzzy clustering method with feature weight preferences is presented to overcome the load balancing problem for multi-class sy

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Thapliyal, Nitin, and Priti Dimri. "Load Balancing in Cloud Computing Based on Honey Bee Foraging Behavior and Load Balance Min-Min Scheduling Algorithm." International Journal of Electrical and Electronics Research 10, no. 1 (2022): 1–6. http://dx.doi.org/10.37391/ijeer.100101.

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Cloud computing relies on the collection and distribution of services from internet-based data centers. With the large resource pool available in internet wide range of users are accessing the cloud. Load balance is important feature involving resource allocation to prevent overloading of any system or optimal use of resources. Major load in cloud network are concerned with CPU, memory and network. This cloud computing aspect has not yet earned too much coverage. Although load balancing is an important feature for cloud computing, concurrent computing etc. In these areas, several algorithms we

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Jittawiriyanukoon, Chanintorn. "Cloud computing based load balancing algorithm for erlang concurrent traffic." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2 (2020): 1109. http://dx.doi.org/10.11591/ijeecs.v17.i2.pp1109-1116.

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<p>The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exha

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Chanintorn, Jittawiriyanukoon. "Cloud computing based load balancing algorithm for erlang concurrent traffic." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 1109–16. https://doi.org/10.11591/ijeecs.v17.i2.pp1109-1116.

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The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exhaust

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M, DuraiPandian. "SURVEY ON VIRTUAL LOAD BALANCING ARCHITECTURES IN MOBILE CLOUD." IRO Journal on Sustainable Wireless Systems 01, no. 03 (2019): 161–75. http://dx.doi.org/10.36548/jsws.2019.3.003.

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The mobile cloud computing, that enables the mobile device application to be hosted, equipped and constructed by the cloud-computing has become more prominent among wide range of application and the concerns that range either in the small-scale or the large-scale. This lead to the overcrowded accessing of the mobile clouds which lead to insufficiency of resources and the latency in the service provisioning. The possible researches emerged with the solutions of load balancing, but the in capabilities in the traditional load balancing developed were in compatible with the mobile cloud computing.

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Gupta, Punit, and Deepika Agrawal. "Trusted Cloud Platform for Cloud Infrastructure." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 8 (2013): 1884–91. http://dx.doi.org/10.24297/ijct.v10i8.1473.

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Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,Â trust bas

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Singh, Jaspreet, Deepali Gupta, and Neha Sharma. "Cloud Load Balancing Algorithms: A Comparative Assessment." Journal of Computational and Theoretical Nanoscience 16, no. 9 (2019): 3989–94. http://dx.doi.org/10.1166/jctn.2019.8282.

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Nowadays, Cloud computing is developing quickly and customers are requesting more administrations and superior outcomes. In the cloud domain, load balancing has turned into an extremely intriguing and crucial research area. Numbers of algorithms were recommended to give proficient mechanism for distributing the cloud user’s requests for accessing pool cloud resources. Also load balancing in cloud should provide notable functional benefits to cloud users and at the same time should prove out to be eminent for cloud services providers. In this paper, the pre-existing load balancing techniques ar

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Kumar Singh Sandeep, Ashish. "Scheduling Algorithm with Load Balancing in Cloud Computing." International Journal of Scientific Engineering and Research 2, no. 1 (2014): 38–43. https://doi.org/10.70729/j201391.

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Kaur, Manpreet, and Amandeep Kaur. "Load Balancing in Cloud Computing Using Optimization Algorithm." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 939–45. https://doi.org/10.21275/mr21912194450.

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Shabina Ghafir, M., Afshar Alam, Farheen Siddiqui, and Sameena Naaz. "Virtual Machine Allocation Policy for Load Balancing." Journal of Physics: Conference Series 2070, no. 1 (2021): 012129. http://dx.doi.org/10.1088/1742-6596/2070/1/012129.

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Abstract This paper focuses on the VM allocation policies for load balancing in cloud computing environment. Intermittent nature of balancing the load scheme into the cloud computing becomes a challenging job and it also affects the load balancing of the cloud. The suggested proposed model generates and step-up the VM allocation policies but also transforms the generated cloud workload. Furthermore, to improve the workload distribution of workload and stability of the overall cloud computing environment the load balancing algorithm is most important for load balancing. The work of load balanci

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O., Oyediran Mayowa, Ojo Olufemi S., Ajagbe Sunday Adeola, Olukayode Aiyeniko, Obuzor Princewill Chima, and Adigun Matthew Olusegun. "Comprehensive review of load balancing in cloud computing system." Comprehensive review of load balancing in cloud computing system 14, no. 3 (2024): 3244–55. https://doi.org/10.11591/ijece.v14i3.pp3244-3255.

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Load balancing plays a critical role in optimizing resource utilization and enhancing performance in cloud computing systems. As cloud environments grow in scale and complexity, efficient load balancing mechanisms become increasingly vital. This paper presents a comprehensive review of load balancing techniques in cloud computing systems, with a focus on their applicability, advantages, and limitations. The review encompasses both static and dynamic load balancing approaches, evaluating their effectiveness in addressing the challenges posed by cloud infrastru

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Shivaliya, Shikha, and Vijay Anand. "Design of Load Balancing Technique for Cloud Computing Environment." ECS Transactions 107, no. 1 (2022): 2911–18. http://dx.doi.org/10.1149/10701.2911ecst.

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Cloud computing allows for the provision of IT resources on-demand and has various advantages. Because the majority of firms have shifted their activities to the cloud, data centers are frequently flooded with sporadic loads. When dealing with high network traffic in the cloud, it is necessary to balance the load among servers. This is something that load balancing can help with. The primary goal of load balancing is to distribute demand evenly among all available servers such that no server is under or overloaded. Load balancing is the process of dispersing load among several nodes to make th

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Quereshi, Zeba, and Abhay Kothari. "Towards Investigation of Various Load Balancing Techniques in Cloud Computing." ECS Transactions 107, no. 1 (2022): 2163–70. http://dx.doi.org/10.1149/10701.2163ecst.

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Cloud computing is an on-demand service where customers may access any time common IT resources, information, software and other equipment. It is a web-based development that offers virtual resources over the Internet as a service. The higher the cloud use, the higher the charge. The allocation of loads to components processing is a challenging phenomenon.In a multi-node system, there is a very good possibility that some nodes will be idle while others will be overloaded. The load balancing algorithms' objective is to keep the load on each processing element constant. A technique for Random Lo

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Sachdeva, Meenal, and Reena . "LOAD BALANCING IN CLOUD COMPUTING." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 10, no. 53 (2022): 13492–504. http://dx.doi.org/10.21922/srjhsel.v10i53.11651.

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Cloud computing has proposed a new perspective for provisioning the large-scale computing resources by using virtualization technology and a pay-per-use cost model. Load balancing is taken into account as a vital part for parallel and distributed systems. It helps cloud computing systems by improving the general performance, better computing resources utilization, energy consumption management, enhancing the cloud services’ QoS, avoiding SLA violation and maintaining system stability through distribution, controlling and managing the system workloads. In this paper we study the necessary equir

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Lanjewar, Shrikant M., Susmit S. Surwade, Sachin P. Patil, and Pratik S. Ghumatkar. "Load Balancing In Public Cloud." IOSR Journal of Computer Engineering 16, no. 1 (2014): 82–87. http://dx.doi.org/10.9790/0661-16168287.

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Tyagi, Priyam, and Amit Kishor. "LOAD BALANCING IN CLOUD COMPUTING." International Journal of Computer Sciences and Engineering 6, no. 10 (2018): 22–27. http://dx.doi.org/10.26438/ijcse/v6i10.2227.

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Kumar M, Sudhir, P. Chakravarthi, B. Jagadeesh, and M. Sai Prakash. "Load balancing in cloud computing." International Journal of Engineering & Technology 7, no. 1.1 (2017): 306. http://dx.doi.org/10.14419/ijet.v7i1.1.9709.

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The expected take-up of Cloud, based on settled research in Web administrations, systems, utility figuring, disseminated processing and virtualization, will get many favorable circumstances cost, changeability and approachability for benefit clients. These advantages are foreseen to propel drive the requirements for Cloud organizations, growing both the Cloud's customer base and the extent of Cloud foundations. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including fault tolerance, large accessibility and ad

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Lamanovsky, M. N., and D. N. Lavrov. "Load balancing in cloud computing." Mathematical structures and modeling, no. 2 (2024): 87–99. http://dx.doi.org/10.24147/2222-8772.2024.2.87-99.

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Cloud computing is becoming more and more widespread and popular. They provide access to the variety of computer services via internet. And load balancing is a key both in the quality and in the cost of provided services. In this article. In this paper, popular algorithms that are used for load balancing will be considered, as well as ways to use machine learning for these purposes.

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Zolnikov, Vladimir, O. Oksyuta, and Nur Dayub. "LOAD BALANCING IN CLOUD COMPUTING." Modeling of systems and processes 13, no. 1 (2020): 25–32. http://dx.doi.org/10.12737/2219-0767-2020-13-1-25-32.

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Cloud computing is a new Internet technology that focuses on commercial computing. Load balancing helps improve the performance of a centralized server. This paper analyzes various algorithms using the tool of analysis, namely, cloud-based Analytics. A comparison of load distribution algorithms is also made.

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Waghmode, Santosh T., and Bankat M. Patil. "Adaptive Load Balancing Using RR and ALB: Resource Provisioning in Cloud." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 302–14. http://dx.doi.org/10.17762/ijritcc.v11i7.7940.

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Cloud Computing context, load balancing is an issue. With a rise in the number of cloud-based technology users and their need for a broad range of services utilizing resources successfully or effectively in a cloud environment is referred to as load balancing, has become a significant obstacle. Load balancing is crucial in storage systems to increase network capacity and speed up response times. The main goal is to present a new load-balancing mechanism that can balance incoming requests from users all over globally who are in different regions requesting data from remote data sources. This me

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Dina, Farouk Altayeb, and Abdelghani Mustafa Fatima. "ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIRONMENT." IJIRAE:: International Journal of Innovative Research in Advanced Engineering Volume VI,Issue 02 of February 2019, no. 02 (2019): 32–38. https://doi.org/10.5281/zenodo.2576676.

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Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud is just a metaphor for the Internet. The elements involved in cloud computing are clients, data center and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the workload among several nodes evenly so that no single node will be overloaded. Load can be of any type that is it can be CPU load, memory capacity or network load. In this paper we presented an architecture of load balancing and algor

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Oyediran, Mayowa O., Olufemi S. Ojo, Sunday Adeola Ajagbe, Olukayode Aiyeniko, Princewill Chima Obuzor, and Matthew O. Adigun. "Comprehensive review of load balancing in cloud computing system." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 3 (2024): 3244. http://dx.doi.org/10.11591/ijece.v14i3.pp3244-3255.

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Load balancing plays a critical role in optimizing resource utilization and enhancing performance in cloud computing systems. As cloud environments grow in scale and complexity, efficient load balancing mechanisms become increasingly vital. This paper presents a comprehensive review of load balancing techniques in cloud computing systems, with a focus on their applicability, advantages, and limitations. The review encompasses both static and dynamic load balancing approaches, evaluating their effectiveness in addressing the challenges posed by cloud infrastructure, such as heterogeneity, scala

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Sharma, Rashmi, and Abhishek Kumar. "Load Balancing in Cloud Computing System." Asian Journal of Electrical Sciences 1, no. 2 (2012): 1–5. http://dx.doi.org/10.51983/ajes-2012.1.2.1685.

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The conception of Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how businesses potential extend today. Load balancing is a core and challenging issue in Cloud Computing. How to use Cloud computing resources efficiently and gain the maximum profits with efficient load balancing algorithm is one of the Cloud computing service providers’ ultimate goals. In this paper firstly a analysis of different Virtual Machine (VM) load balancing algorithms was done a new VM load balancing algorithm has been proposed and Implemented in Virtual Machine en

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Gagandeep kaur , Dr Sahista Nawaz. "Research Paper on Analysis Load Balancing Algorithm using Cloud Computing." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 3477–85. http://dx.doi.org/10.52783/tjjpt.v44.i4.1486.

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Cloud load balancing is nothing but distributing the work load among many servers & computing property. It can manage work load demand as well as application demand. This process is done with the help of distributing resources among numerous computers. Cloud load balancing consist of circulation of workload traffic & on time demand of internet. Various techniques were represented in literature to improve performance, quality of services, cargo distribution etc. The issue of cargo balancing is same as cloud computing which is data over loading & under loading. We have to apply prope

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Bura, Deepa, Meeta Singh, and Poonam Nandal. "Analysis and Development of Load Balancing Algorithms in Cloud Computing." International Journal of Information Technology and Web Engineering 13, no. 3 (2018): 35–53. http://dx.doi.org/10.4018/ijitwe.2018070103.

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This article describes how cloud computing utilizes the benefits of web engineering and its applications by improving the performance and reducing the load on cloud providers. As the cloud is one of the emerging technology in the field of computing, it is used to provide various services to the user through the internet. One of the major concerns in cloud computing is accessibility of cloud. For estimating the availability of cloud, various load balancing algorithms are deployed in data centers of the cloud environment. Load balancing is a technique that distributes a signal load across variou

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Streltsov, Oleh, Yuriy Ornovetsky, and Mykhailo Katrichenko. "INCREASING THE EFFICIENCY OF SCALING CLOUD APPLICATIONS ARCHITECTURE." ELECTRICAL AND COMPUTER SYSTEMS 38, no. 114 (2023): 58–65. http://dx.doi.org/10.15276/eltecs.38.114.2023.07.

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Abstract. The areas of improvement of the method of dynamic load balancing for very heavy calcula-tions and tasks with scaling on cloud infrastructure, which differ from known methods, are considered. An analysis of existing methods and algorithms that provide solutions to load balancing problems in cloud in-frastructures was carried out. Methods of load balancing are considered. A model of the load distribution system for cloud infrastructure services based on a modification of the dynamic load balancing method has been developed. Experimentally verified characteristics of the created model.

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Streltsov, Oleh, Yuriy Ornovetsky, and Mykhailo Katrichenko. "INCREASING THE EFFICIENCY OF SCALING CLOUD APPLICATIONS ARCHITECTURE." ELECTRICAL AND COMPUTER SYSTEMS, no. 38(114) (2023): 58–65. http://dx.doi.org/10.15276/eltecs.38.114.2023.7.

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Abstract. The areas of improvement of the method of dynamic load balancing for very heavy calcula-tions and tasks with scaling on cloud infrastructure, which differ from known methods, are considered. An analysis of existing methods and algorithms that provide solutions to load balancing problems in cloud in-frastructures was carried out. Methods of load balancing are considered. A model of the load distribution system for cloud infrastructure services based on a modification of the dynamic load balancing method has been developed. Experimentally verified characteristics of the created model.

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Kanbar, Asan Baker, and Kamaran Faraj. "Modern Load Balancing Techniques and Their Effects on Cloud Computing." Journal of Hunan University Natural Sciences 49, no. 7 (2022): 37–43. http://dx.doi.org/10.55463/issn.1674-2974.49.7.5.

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Cloud computing is a new and advanced viewpoint for large-scale parallel and distributed computing systems. Cloud computing is growing quickly, and users are demanding more services and better results, so cloud-computing load balancing has become a very thought-provoking and important research area. Load on the cloud is growing extremely with the expansion of new applications. Load balancing is a major area of the cloud computing environment, which guarantees that all connected devices or processors simultaneously perform the same amount of work. Hence, an efficient load-balancing scheme is ne

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Mallikarjuna, B., and P. Venkata Krishna. "OLB: A Nature Inspired Approach for Load Balancing in Cloud Computing." Cybernetics and Information Technologies 15, no. 4 (2015): 138–48. http://dx.doi.org/10.1515/cait-2015-0060.

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Abstract Load balancing is treated as one of the important mechanisms for efficient resource allocation in cloud computing. In future there will appear a necessity of fully autonomic distributed systems to address the load balancing issues. With reference to this, we proposed a load balancing mechanism called Osmosis Load Balancing (OLB). OLB works on the principle of osmosis to reschedule the tasks in virtual machines. The solution is based on the Distributed Hash Table (DHT) with a chord overlay mechanism. The Chord overlay is used for managing bio inspired agents and status of the cloud. By

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Gaganpreet, Kaur*1 Er. Charanjiv Singh2 &. Er. Gurjeet Singh Bhathal3. "A COMPARATIVE STUDY OF LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 7 (2018): 145–53. https://doi.org/10.5281/zenodo.1307138.

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Current year, Cloud computing is an emerging concept which efficiently combining many fields of computing. Cloud Computing offers several services on-line to users like: storage, process power, networking, databases, servers, Virtual Servers with minimum cost and energy. Users can easily access these services from anywhere and anytime over wed. Companies providing these computing services referred to as cloud suppliers and usually charge for cloud computing services supported usage, kind of like however you are pay for water and electricity bill. Users can simply store and retrieve data, files

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Januar Al Amien and Doni Winarso. "ANALISIS PENINGKATAN KINERJA FTP SERVER MENGGUNAKAN LOAD BALANCING PADA CONTAINER." JURNAL FASILKOM 9, no. 3 (2019): 8–18. http://dx.doi.org/10.37859/jf.v9i3.1667.

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Abstract Cloud computing is a technology that answers the challenge of the need for efficient computing technology. There are many things that can be implemented using cloud computing technologies such as web services, storage services, applications and others. Use of cloud computing using container technology can help in the management of applications and optimize the use of resources in the form of memory and processor usage on the server. In this research docker containers implemented by service of FTP (File Transfer Protocol). The FTP service is made into 3 containers within a single

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Mekonnen, Dawit, Alemayehu Megersa, Rakesh Kumar Sharma, and Durga Prasad Sharma. "Designing a Component-Based Throttled Load Balancing Algorithm for Cloud Data Centers." Mathematical Problems in Engineering 2022 (October 3, 2022): 1–12. http://dx.doi.org/10.1155/2022/4640443.

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Cloud services are accessed from different geographical locations where client migration or switching from one server to another based on the loads is a common phenomenon. One of the most critical challenges the cloud data centers face is managing the loads over geographically dispersed data centers and their virtual machines (VMs). VMs need to be balanced with the varied loads or dynamics of traffic. There are possibilities of the highest loads to be tolerated by the VMs over the cloud servers without crashing. Load balancing issues are managed by load balancing algorithms. Load balancing alg

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Researcher. "LOAD BALANCING IN CLOUD COMPUTING: MECHANISMS, IMPLEMENTATIONS, AND SIGNIFICANCE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 534–43. https://doi.org/10.5281/zenodo.13853753.

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This comprehensive article explores the critical role of load balancing in cloud computing environments, elucidating its mechanisms, implementations, and significance in modern distributed systems. It delves into fundamental load balancing algorithms such as round-robin, least connections, and IP hash, and examines their practical applications in major cloud platforms including AWS, Azure, and Google Cloud. The article analyzes the key benefits of load balancing, including server overload prevention, latency reduction, and facilitation of horizontal scaling, while also investigating the concep

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SINGH, JASPREET. "Load Balancing in Cloud Computing Using Meta Heuristic Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32524.

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Cloud computing involves load balancing, a technique for evenly distributing work across a cloud-based environment. Enterprises authorized applications to be managed, with these apps typically developed by the network's provider. The cloud system relies on multiple computers, supporting stakeholders in utilizing it for load balancing. It ensures virtual machines remain balanced, effectively distributing the workload among them and helping companies handle network traffic and workload issues. The load balancing system reduces imbalances among virtual machines, using the Bat algorithm to encrypt

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Sawsan, Rabaya, and Al Moayed Yazeed. "Comparative Analysis of Load Balancing Algorithms for Efficient Task Scheduling in Cloud Computing." International Journal of Computer Science and Information Technology Research 11, no. 3 (2023): 160–71. https://doi.org/10.5281/zenodo.8355059.

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<strong>Abstract:</strong> In the field of information technology cloud computing is a recently developed technology. In such a complicated system, an effective load balancing scheme is critical in order to meet peak user demands and deliver high-quality services. Load balancing is a way of distributing workload among several nodes over network links in order to maximize resource utilization, decrease data processing and response time, and avoid overload. There have been a number of load balancing algorithms suggested that concentrate on important factors including processing time, response ti

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Chitra, P., Karthika D. Renuka, K. Senathipathi, S. Deepika, and R. Geethamani. "A Survey on Load Balancing Algorithms for Cloud Environment." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 764–67. http://dx.doi.org/10.1166/jctn.2019.7806.

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Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing

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Satish R. Devane, Ratnadeep R. Deshmukh, Ganesh V. Gujar,. "Performance Comparison of Different Load Balancing Algorithms in Cloud Computing." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (2023): 747–54. http://dx.doi.org/10.17762/ijritcc.v11i8s.9286.

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Cloud computing offers economical, scalable, and instantaneous computing resources to enterprises, allowing them to manage substantial traffic volumes and cater to a multitude of users. But the need for effective load balancing techniques has grown significantly as cloud computing becomes more and more popular. To guarantee the best possible performance, availability, and dependability of apps and services, load balancing is a crucial component of cloud computing. This paper offers a comparative study of different cloud computing technologies and load balancing strategies. We present a perform

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Maurya, Santosh Kumar, and Garima Sinha. "Load balancing in cloud computing: an analytical review and proposal." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1530–37. https://doi.org/10.11591/ijeecs.v26.i3.pp1530-1537.

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Task scheduling or mapping of requests to machines with specified requirements becomes a very important problem to get optimized results. With the requests of many users, the machine can go under different conditions such as heavy load and minimum load. These various aspects can lead to system failure and loss of data. Hence the load must be balanced to beat the losses of the system. A load balancing concept described how different types of loads could be balanced with each machine. The load can be of memory, computation, and network. The paper mainly focuses on all kinds of load to provide a

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SapnaKumari*1, &. RydhmBeri2. "COMPENDIOUS ELUCIDATION LOAD BALANCING TECHNIQUES IN CLOUD COMPUTING." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 5 (2018): 140–44. https://doi.org/10.5281/zenodo.1255854.

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Cloud computing is the world of technology that makes pool of resources available around the users as per the demand made by users. IT companies which offers cloud services captures the market shares at large extent and provides benefits to the client as well as service providers. Cloud computing provides pool of resources to the user virtually. This study, discusses some points that enlightens how the cloud computing technology changing the world. The study discusses the various services offered by cloud and how virtualization is implemented by using cloud services.  The study provides t

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Sapna, Kumari. "COMPENDIOUS ELUCIDATION LOAD BALANCING TECHNIQUES IN CLOUD COMPUTING." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 5 (2018): 140–43. https://doi.org/10.5281/zenodo.1257925.

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Cloud computing is the world of technology that makes pool of resources available around the users as per the demand made by users. IT companies which offers cloud services captures the market shares at large extent and provides benefits to the client as well as service providers. Cloud computing provides pool of resources to the user virtually. This study, discusses some points that enlightens how the cloud computing technology changing the world. The study discusses the various services offered by cloud and how virtualization is implemented by using cloud services.  The study provides t

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D, SaiKrishna, Venkataramana Ch, Sandeep T, Venkat Varma, Suryakantham Suryakantham, and Nageswra Rao Moparthi. "Using a Hierarchical Taxonomy, Load Balancing in Cloud Computing." International Journal of Research Publication and Reviews 4, no. 4 (2023): 1226–30. http://dx.doi.org/10.55248/gengpi.2023.4.4.12261230.

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Hussein, Karim Qassim. "Multimedia Information Time Balance Management in Mobile Cloud Environment Supported By Case Study." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 19 (2022): 118–32. http://dx.doi.org/10.3991/ijim.v16i19.33615.

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Mobile cloud computing is used to define and determine computing services with a structure model. The data and resource of any service will be retrieved from cloud computing through internet service, some tools, and user interface (web-based or application). Mobile Cloud Computing (MCC) is a hybrid of cloud computing and mobile computing. Multimedia Information is the core of Mobile Cloud information because of the sizable information of multimedia particularly video streaming. Mobile Cloud mostly handles and processes that information. MCC is one of the business expressions with the real envi

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Shahid, Muhammad Asim, Muhammad Mansoor Alam, and Mazliham Bin Mohd Su’ud. "Performance Evaluation of Load-Balancing Algorithms with Different Service Broker Policies for Cloud Computing." Applied Sciences 13, no. 3 (2023): 1586. http://dx.doi.org/10.3390/app13031586.

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Cloud computing has seen a major boom during the past few years. Many people have switched to cloud computing because traditional systems require complex resource distribution and cloud solutions are less expensive. Load balancing (LB) is one of the essential challenges in cloud computing used to balance the workload of cloud services. This research paper presents a performance evaluation of the existing load-balancing algorithms which are particle swarm optimization (PSO), round robin (RR), equally spread current execution (ESCE), and throttled load balancing. This study offers a detailed per

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Shambhu, Prasad Sah*, Kumar Panjiyar Sanjeev, Das Purushottam, and Singh Bist Ankur. "IMPLEMENTATION OF EFFICIENT ALGORITHMS FOR LOAD BALANCING MODELING WEB-BASED CLOUD APPLICATIONS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 4 (2016): 379–84. https://doi.org/10.5281/zenodo.49714.

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Load balancing is one of the central issues in cloud computing. Since millions of users are accessing the cloud every moment, the concept of load balancing has an important impact on the performance of cloud computing. This paper implements two efficient algorithms for performing a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies an improved round robin technique and game theory to the load balancing strategy to improve the efficiency in the public cloud

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Soumya, Ray and Ajanta De Sarkar. "EXECUTION ANALYSIS OF LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING ENVIRONMENT." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 2, October (2018): 01–13. https://doi.org/10.5281/zenodo.1437775.

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The concept oft Cloud computing has significantly changed the field of parallel and distributed computing systems today. Cloud computing enables a wide range of users to access distributed, scalable, virtualized hardware and/or software infrastructure over the Internet. Load balancing is a methodology to distribute workload across multiple computers, or other resources over the network links to achieve optimal resource utilization, maximize throughput, minimum response time, and avoid overload. With recent advent of technology, resource control or load balancing in cloud computing is main chal

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Halima, Anouar Ben, and Hafssa Benaboud. "Challenges of load balancing algorithms in cloud computing utilizing data mining tools." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 3 (2025): 3449. https://doi.org/10.11591/ijece.v15i3.pp3449-3457.

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In the cloud computing environment, load balancing plays an important role in the efficient operation of cloud computing, where a multitude of resources serve diverse workloads and fluctuating demands. In the rapidly evolving cloud computing, efficient resource management, and optimization are critical for maximizing performance, scalability, and cost-effectiveness. Load balancing algorithms aim to distribute workloads across cloud resources to ensure optimal utilization and maintain high availability of services. This paper presents a comparative study of load balancing algorithms in cloud co

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