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1

Bansal, Ginni, and Amanpreet Kaur. "Enhancement of dynamic load balancing using Particle Swarm Algorithm in Cloud Environment." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 10 (2016): 7164–68. http://dx.doi.org/10.24297/ijct.v15i10.4390.

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Dynamic load balancing with decentralized load balancer using PSO technique: Cloud consists of multiple resources and various clients request to the cloud for allocation of shared resources. Each request will be allotted to the virtual machines. In different situation different machines get different load. So to balance the load amongst different virtual machines decentralized load balancer is enhanced using particle swarm algorithm. The main objective is reducing the energy and increasing the throughput in comparison to centralized and simple decentralized load balancer using particle swarm o
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Ellakkiya, M., and T. N. Ravi. "Resource Aware Orthogonal Projected Regressive MapReduce Lottery Load Balancing in Cloud Computing." Journal of Scientific Research 16, no. 1 (2024): 53–69. http://dx.doi.org/10.3329/jsr.v16i1.64683.

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Cloud Computing is an internet-based network technology that provides various services and requirements to customers through online computing resources. In the cloud, Load balancing is the most significant issue that includes both hardware and software platforms for the execution of demand of the user request. Furthermore, for handling multiple user requests, load balancing is necessary. Therefore, an efficient load-balancing technique is required to optimize and ensure user satisfaction by utilizing the virtual machine's resources efficiently. A novel Orthogonal Projected Regressive MapReduce
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Noha, G. Elnagar, F. Elkabbany Ghada, A. Al-Awamry Amr, and B. Abdelhalim Mohamed. "Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 2087–96. https://doi.org/10.11591/ijece.v12i2.pp2087-2096.

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Load balancing is crucial to ensure scalability, reliability, minimize response time, and processing time and maximize resource utilization in cloud computing. However, the load fluctuation accompanied with the distribution of a huge number of requests among a set of virtual machines (VMs) is challenging and needs effective and practical load balancers. In this work, a two listed throttled load balancer (TLT-LB) algorithm is proposed and further simulated using the CloudAnalyst simulator. The TLT-LB algorithm is based on the modification of the conventional throttled load balancer (TLB) algori
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Markov, A. N., and A. I. Paramonov. "Load Balancer Operation Analyses of Video-Conference Service." Digital Transformation 28, no. 2 (2022): 43–51. http://dx.doi.org/10.35596/2522-9613-2022-28-2-43-51.

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The need to implement balancing of the video conferencing service (VCS) when used in educational processes is shown. The structure of building a VCS with a load balancer is considered. A computer experiment is being conducted on the VCS. Based on the results of a computer experiment, graphs were generated for the selected BigBlueButton VCS with a load balancer. The graphs of the load on the hardware components of the virtual server at three stages of testing for the central processor, RAM, and network interfaces both within the service and in the structure of the local computer network are giv
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Elnagar, Noha G., Ghada F. Elkabbany, Amr A. Al-Awamry, and Mohamed B. Abdelhalim. "Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 2087. http://dx.doi.org/10.11591/ijece.v12i2.pp2087-2096.

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<span lang="EN-US">Load balancing is crucial to ensure scalability, reliability, minimize response time, and processing time and maximize resource utilization in cloud computing. However, the load fluctuation accompanied with the distribution of a huge number of requests among a set of virtual machines (VMs) is challenging and needs effective and practical load balancers. In this work, a two listed throttled load balancer (TLT-LB) algorithm is proposed and further simulated using the CloudAnalyst simulator. The TLT-LB algorithm is based on the modification of the conventional TLB algorit
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Mulyana, Joshua Gibeon, Willy Sudiarto Raharjo, and Gani Indriyanta. "Studi Komparasi Performa NGINX dan HAPROXY Sebagai Load Balancer di Cloud Menggunakan Teknologi Kontainer." Jurnal Terapan Teknologi Informasi 5, no. 1 (2021): 11–17. http://dx.doi.org/10.21460/jutei.2021.51.229.

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High availability and scalability is a must have feature for server that owned by industrial sector. One concept that used by technology practitioner ishorizontal scaling. Horizontal scaling can be achieved by using load balancer. Even though those technology practitioner started to adopt containerization technology, those technology practitioner still using load balancer. The purpose of this research is to compare NGINX and HAPROXY performance as load balancer based on response time and error rate. Both NGINX and HAPROXY will run on docker that installed on various virtual machine type in bot
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Michael, A. Andrew, та M. Thiagarajan. "A Virtualized Target Queuing Balanced Model Using Vmax/M/G-Load(Min)/Cache-P2λM for Reducing Queuing Time Expectation of Customer Delay Tolerance". Journal of Computational and Theoretical Nanoscience 17, № 12 (2020): 5520–27. http://dx.doi.org/10.1166/jctn.2020.9448.

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Queuing theory is a formal mathematical model of late response arrival of customer waiting in various access services, accepting processes management as a whole field. Often multiple server sorting can be used to estimate the number of servers and service rates be high due too lacking of time, with an average delay sequence in the analysis. Using these sequence models to read more than one sequence during execution approximates system sorting performance. To resolve this problem we modulated the distributed process into Virtualized Target Queuing Balanced Model (VTQBM) using Vmax/M/G-Load (Min
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Sridevi, Gutta, and Midhunchakkravarthy. "A Hybrid Multi-level Statistical Load Balancer-Based Parameters Estimation Model in Realtime Cloud Computing Environment." Ingénierie des systèmes d information 25, no. 6 (2020): 771–82. http://dx.doi.org/10.18280/isi.250607.

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As the size of the cloud-based applications and its tasks are increasing exponentially, it is necessary to estimate the load balancing metrics in the real-time cloud computing environments. Hybrid load balancing framework play a vital role in the cloud-based applications and tasks monitoring and resource allocation. Most of the conventional load balancing metrics are dependent on limited number of cloud metrics and type of virtual machines. Also, these models require high computational memory and time on large number of tasks. In this paper, an advanced multi-level statistical load balancer-ba
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Wang, Yuhe, and John E. Killough. "A New Approach to Load Balance for Parallel/Compositional Simulation Based on Reservoir-Model Overdecomposition." SPE Journal 19, no. 02 (2013): 304–15. http://dx.doi.org/10.2118/163585-pa.

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Summary The quest for efficient and scalable parallel reservoir simulators has been evolving with the advancement of high-performance computing architectures. Among the various challenges of efficiency and scalability, load imbalance is a major obstacle that has not been fully addressed and solved. The causes of load imbalance in parallel reservoir simulation are both static and dynamic. Robust graph-partitioning algorithms are capable of handling static load imbalance by decomposing the underlying reservoir geometry to distribute a roughly equal load to each processor. However, these loads th
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Swarnakar, Soumen, Chandan Banerjee, Joydeep Basu, and Debanjana Saha. "A Multi-Agent-Based VM Migration for Dynamic Load Balancing in Cloud Computing Cloud Environment." International Journal of Cloud Applications and Computing 13, no. 1 (2023): 1–14. http://dx.doi.org/10.4018/ijcac.320479.

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Cloud computing is the use of remote servers on the internet to store, manage, and process data. It is a demand-based service where users need to pay only for what they use. Cloud computing users are extensively distributed throughout the globe, so it is a big challenge to keep track of this huge data. Load balancing is the distribution of workloads in a smart way among multiple compute resources, like virtual servers. Compute resources can be added or removed from the load balancer according to the needs of the user. A load balancer is primarily used to optimize the use of resources, costs, a
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A. Al-Hasnawi, Sally, and Mahmood K. Ibrahem. "EMULATION OF THE POX CONTROLLER AS A LOAD BALANCER." Iraqi Journal of Information & Communications Technology 4, no. 2 (2021): 9–22. http://dx.doi.org/10.31987/ijict.4.2.138.

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Abstract- The servers’ nature of having bottleneck situations makes the load balancing one of the essential services in the networks, particularly with the users’ increasing load. This current paper investigates the technique of load-balancing related to Software-Defined Network (SDN). Due to the nature of the paper, there shall be processes of analysis and simulation to the software-defined network of the two servers. The following parts constitute two servers, four clients, a pox controller, and an open virtual switch. To have the proposed topology connected with the pox controller, there sh
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Ellakkiya, M., T. N. Ravi, and S. Panneer Arokiaraj. "Ruzicka Indexive Throttled Deep Neural Learning for Resource-Efficient Load Balancing in a Cloud Environment." Informatics and Automation 23, no. 6 (2024): 1823–44. http://dx.doi.org/10.15622/ia.23.6.9.

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Cloud Computing (CC) is a prominent technology that permits users as well as organizations to access services based on their requirements. This computing method presents storage, deployment platforms, as well as suitable access to web services over the internet. Load balancing is a crucial factor for optimizing computing and storage. It aims to dispense workload across every virtual machine in a reasonable manner. Several load balancing techniques have been conventionally developed and are available in the literature. However, achieving efficient load balancing with minimal makespan and improv
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Ramadhan, Hardiyan Kesuma, and Sukma Wardhana. "Computer Networks Optimization using Load Balancing Algorithms on the Citrix ADC Virtual Server." Jurnal Online Informatika 6, no. 1 (2021): 103. http://dx.doi.org/10.15575/join.v6i1.672.

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In the digital era and the outbreak of the COVID-19 pandemic, all activities are online. If the number of users accessing the server exceeds IT infrastructure, server down occurs. A load balancer device is required to share the traffic request load. This study compares four algorithms on Citrix ADC VPX load balancer: round-robin, least connection, least response time and least packet using GNS3. The results of testing response time and throughput parameters show that the least connection algorithm is superior. There were a 33% reduction in response time and a 53% increase in throughput. In the
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Nine, Md S. Q. Zulkar, Abul Kalam Azad, Saad Abdullah, and Rashedur M. Rahman. "Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider." International Journal of Fuzzy System Applications 4, no. 3 (2015): 50–71. http://dx.doi.org/10.4018/ijfsa.2015070104.

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Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters involved in generating load in the Virtualized Data Center has imprecise effect on the overall load of Virtual Machine, a fuzzy load balancing strategy is required. This paper proposes two efficient fuzzy lo
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Polevich, S., and O. Simonina. "Simulation of a 5G Cloud System with a Load Balancer." Telecom IT 7, no. 4 (2019): 30–36. http://dx.doi.org/10.31854/2307-1303-2019-7-4-30-36.

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The work is aimed at organizing virtualization and developing load balancing in a 5G network. Based on existing software and hardware solutions, a virtual network is built that reflects the general concept of organizing a cloud RAN. The basic functionality of load balancing is described in the form of redirecting requests depending on the type of requested traffic and advanced – restrictions on access to the channel / resource for several types of subscribers. It is shown that such a system can be implemented on the basis of Linux OS, Nginx server with upstream module. To illustrate the experi
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Balakrishna, Gubba, and Nageswara Rao Moparthi. "ESBL: Design and Implement A Cloud Integrated Framework for IoT Load Balancing." International Journal of Computers Communications & Control 14, no. 4 (2019): 459–74. http://dx.doi.org/10.15837/ijccc.2019.4.3491.

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The continuous growth in wireless communication, the demand for sophisticated, simple and low-cost solutions are also increasing. The demand motivated the researchers to indulge into inventing suitable network solutions ranging from wireless sensor networks to wireless ad-hoc networks to Internet of Things (IoT). With the inventions coming from the researchers, the demand for further improvements into the existing researchers have also growth upbound. Initially the network protocols were the demand for research and further improvements. Nevertheless, the IoT devices are started getting used in
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Zuhroni, Fajar, Adian Fatchur Rochim, and Eko Didik Widianto. "Analisis Performansi Layanan Kluster Server Menggunakan Penyeimbang Beban dan Virtual Box." Jurnal Teknologi dan Sistem Komputer 3, no. 4 (2015): 530. http://dx.doi.org/10.14710/jtsiskom.3.4.2015.530-535.

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Today, the growth of technology is very fast causes people more familiar with the Internet. Web servers are required to more quickly in order to serve a number of user request. Technology uses a single server is underprivileged to handle the load on the web server traffic as the number of users increases, causing the server to fail in serving the request. Technology on cluster server with load balancer is used in order to divide the load evenly so that optimize performance on a web server. Server cluster systems that are designed using six virtual machines using VirtualBox application. Six vir
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Gulbaz, Rohail, Abdul Basit Siddiqui, Nadeem Anjum, Abdullah Alhumaidi Alotaibi, Turke Althobaiti, and Naeem Ramzan. "Balancer Genetic Algorithm—A Novel Task Scheduling Optimization Approach in Cloud Computing." Applied Sciences 11, no. 14 (2021): 6244. http://dx.doi.org/10.3390/app11146244.

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Task scheduling is one of the core issues in cloud computing. Tasks are heterogeneous, and they have intensive computational requirements. Tasks need to be scheduled on Virtual Machines (VMs), which are resources in a cloud environment. Due to the immensity of search space for possible mappings of tasks to VMs, meta-heuristics are introduced for task scheduling. In scheduling makespan and load balancing, Quality of Service (QoS) parameters are crucial. This research contributes a novel load balancing scheduler, namely Balancer Genetic Algorithm (BGA), which is presented to improve makespan and
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S., Kanagasubaraja, M. Hema, M. Vineeth, Rao K. Shreyas, and Anandh S. Siva. "Host Utilization Algorithm to Reduce Energy Consumption in Cloud Computing." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 352–59. https://doi.org/10.35940/ijeat.E9547.069520.

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The utilization of distributed computing server farm is developing quickly to fulfill the large increment required for systems administration, High-Performance Computing(HPC) as well as stockpiling assets for executing business and logical applications. The process of Virtual Machine (VM) solidification is inclusive of VMs getting relocated in order to make use of less physical servers. As a result, it enables the shut down or low-power mode of more number of servers which enhances the vitality utilization effectiveness, working expense and CO2 discharge. An urgent advance in VM union is have
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Bustomi, Zaidal, Mohammad Syahiruddin, Mochammad Ilham Afandi, and Khadijah Fahmi Holle. "Load Balancing Web Server Menggunakan Nginx pada Lingkungan Virtual." Jurnal Informatika: Jurnal Pengembangan IT 5, no. 1 (2020): 32–36. http://dx.doi.org/10.30591/jpit.v5i1.1745.

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Kemajuan teknologi yang semakin pesat dari waktu ke waktu menyebabkan tingginya penggunaan internet dalam kehidupan sehari-hari. Tingginya aktivitas tersebut berbanding lurus dengan tingginya penggunaan jaringan yang digunakan. Oleh karena itu, dibutuhkan suatu peningkatan kualitas jaringan yang berhubungan langsung dengan server sebagai peran dari suatu lalu lintas jaringan. Penggunaan secara serentak saat melakukan akses pada suatu situs menyebabkan lamanya waktu tanggap bahkan server akan down dikarenakan overload yang terjadi. Tujuan dari penelitian ini adalah menerapkan metode load balanc
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Kim, Minsu, Seung Hun Kim, Sang-Min Lee, and Won Woo Ro. "Improving Hardware Resource Utilization for Software Load Balancer using Multiprocess in Virtual Machine." Journal of the Institute of Electronics and Information Engineers 51, no. 9 (2014): 103–8. http://dx.doi.org/10.5573/ieie.2014.51.9.103.

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Shanmugapriya, S., and N. Priya. "The Proposed IT-TALB in Infrastructure as a Service Cloud." Indian Journal Of Science And Technology 17, no. 16 (2024): 1654–62. http://dx.doi.org/10.17485/ijst/v17i16.3274.

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Objectives: The purpose of the proposed IT-TALB load balancing algorithm is to dynamically allocate the user's workload to the appropriate virtual machine in an Infrastructure as a Service (IaaS) cloud environment. Methods: This research work includes several key procedures. The user's workloads are distributed to the data center controller (DCC), which in turn uses the ECO-SBP service broker policy to select the efficient data center (DC) for processing the loads. The DCC forwards the load to the selected DC, and the IT-TALB load balancer picks the best Virtual Machine (VM) using CloudAnalyst
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Boronnikov, A. S., P. S. Tsyngalev, V. G. Ilyin, and T. A. Demenkova. "Evaluation of connection pool <i>PgBouncer</i> efficiency for optimizing relational database computing resources." Russian Technological Journal 12, no. 3 (2024): 7–24. http://dx.doi.org/10.32362/2500-316x-2024-12-3-7-24.

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Objectives. The aim of the research is to investigate the possibilities of using the PgBouncer connection pool with various configurations in modern database installations by conducting load testing with diverse real-world like scenarios, identifying critical metrics, obtaining testing results, and interpreting them in the form of graphs.Methods. The research utilized methods of experimentation, induction, testing, and statistical analysis.Results. The main features, architecture and modes of operation of the PgBouncer service are considered. Load testing was carried out on a virtual machine d
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Alankar, Bhavya, Gaurav Sharma, Harleen Kaur, Raul Valverde, and Victor Chang. "Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud." Sensors 20, no. 24 (2020): 7342. http://dx.doi.org/10.3390/s20247342.

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Cloud computing has emerged as the primary choice for developers in developing applications that require high-performance computing. Virtualization technology has helped in the distribution of resources to multiple users. Increased use of cloud infrastructure has led to the challenge of developing a load balancing mechanism to provide optimized use of resources and better performance. Round robin and least connections load balancing algorithms have been developed to allocate user requests across a cluster of servers in the cloud in a time-bound manner. In this paper, we have applied the round
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Mohanaprakash T A, Et al. "Cloud Storage Level Service Offering in Virtualized Load Balancer using AWS." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 765–71. http://dx.doi.org/10.17762/ijritcc.v11i10.8572.

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Distributed computing epitomizes an approach perfectly suited to the realm of IT commitments, leveraging the aggregation of information and resources through electronic cloud service providers utilizing interconnected hardware and software primarily based online, all at a reasonable cost. However, resource sharing can lead to challenges in their accessibility, potentially causing system crashes. To counter this, the technique of distributing network traffic across multiple servers, known as load balancing, plays a pivotal role. This paper ensures that no single server is overwhelmed, thereby p
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S, Shanmugapriya, and Priya N. "The Proposed IT-TALB in Infrastructure as a Service Cloud." Indian Journal of Science and Technology 17, no. 16 (2024): 1654–62. https://doi.org/10.17485/IJST/v17i16.3274.

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Abstract <strong>Objectives:</strong>&nbsp;The purpose of the proposed IT-TALB load balancing algorithm is to dynamically allocate the user's workload to the appropriate virtual machine in an Infrastructure as a Service (IaaS) cloud environment.&nbsp;<strong>Methods:</strong>&nbsp;This research work includes several key procedures. The user's workloads are distributed to the data center controller (DCC), which in turn uses the ECO-SBP service broker policy to select the efficient data center (DC) for processing the loads. The DCC forwards the load to the selected DC, and the IT-TALB load balan
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Xu, Biao, and Minyan Lu. "Agent-Based Virtual Machine Migration for Load Balancing and Co-Resident Attack in Cloud Computing." Applied Sciences 13, no. 6 (2023): 3703. http://dx.doi.org/10.3390/app13063703.

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The majority of cloud computing consists of servers with different configurations which host several virtual machines (VMs) with changing resource demands. Additionally, co-located VMs are vulnerable to co-resident attacks (CRA) in a networked environment. These two issues may cause uneven resource usage within the server and attacks on the service, leading to performance and security degradation. This paper presents an Agent-based VM migration solution that can balance the burden on commercially diverse servers and avoid potential co-resident attacks by utilizing VM live migrations. The Agent
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Rashid, Yusif, and Callistus Ireneous Nakpih. "ReT-ELBa: A Novel Algorithm for Efficient Load Balancing in Cloud Computing." Asian Journal of Research in Computer Science 17, no. 5 (2024): 56–64. http://dx.doi.org/10.9734/ajrcos/2024/v17i5438.

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This paper presents a novel load-balancing algorithm for balancing load on the cloud environment which we call Response Time Efficient Load Balancer (ReT-ELBa). Load balancing involves a dynamic and equal distribution of workloads among processors or Virtual Machines to achieve better resource utilisation. The study gives an insight into the design, implementation and evaluation of an enhanced load-balancing algorithm that allocates tasks across Virtual Machines on the cloud, which minimises Response Time and increases resource utilisation. The ReT-ELBa distributes tasks based on their sizes,
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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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Ghorpade, Manisha, and Mangesh Wanjari. "A Cost Effective Approach for Provisioning In Cloud." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 04 (2014): 723–27. https://doi.org/10.5281/zenodo.14741709.

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Cloud computing allows business customers to scale up and down their resource usage based on their requirements. Many of the hyped gains in the cloud model are derived from resource multiplexing through virtualization. A load balancer which calculates the load on individual virtual server can be used to divert the web session load from server to server to enhance the response time to individual clients. By shifting multiple servers we can save the energy and also give advantage of dynamic resource allocation to the cloud users. Hence, we are proposing the system that uses collection of Virtual
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Shirazi, Syed Atir Raza, Abdul Hannan Khan, Shahid Rasool, Aqsa Anwar, and Muhammad Ammar. "Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic." Sir Syed University Research Journal of Engineering & Technology 13, no. 1 (2023): 10–16. http://dx.doi.org/10.33317/ssurj.500.

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Nowadays, cloud computing is a growing field in research and the marketplace, including virtualization, internet service, computer software, and web services. A cloud comprises multiple elements like a consumer's data center and servers. It provides high availability, efficiency, scalability, mobility, fault tolerance, decreased overhead of users, reduced expenses of ownership, on-demand services, etc. A Variety Of users need various Quality of Service (QoS) demands. Therefore, the cloud supplier needs to arrange the tasks to get maximum advantages regarding their services, and the consumer's
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Et. al., K. Balaji,. "Load balancing in Cloud Computing: Issues and Challenges." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 3224–31. http://dx.doi.org/10.17762/turcomat.v12i2.2380.

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The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data center
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Et. al., K. Balaji ,. "Load balancing in Cloud Computing: Issues and Challenges." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 3077–84. http://dx.doi.org/10.17762/turcomat.v12i2.2350.

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The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data center
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Aswini., S., and S. Prasanna. "Data Storing in Multitenant Clouds using Split and Merge Method." International Journal of Trend in Scientific Research and Development 2, no. 2 (2018): 1059–64. https://doi.org/10.31142/ijtsrd9609.

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Resource Accounting of Shared IT Resources is a technique that distributes the excess dynamic local workload evenly across all the nodes. It is used for achieving a better service provisioning and resource utilization ratio, hence improving the overall performance of the system Incoming tasks are coming from different location are received by the load balancer and then distributed to the data center, for the proper load distribution. Also accounting of the shared resources is very important to process the new requests. Hence in this project, we have designed and implemented the resource accoun
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Singh, K. R., A. D. Gaikwad, and S. D. Kamble. "Empirical analysis of machine learning-based energy efficient cloud load balancing architectures: a quantitative perspective." 3C Empresa. Investigación y pensamiento crítico 11, no. 02 (2022): 232–48. http://dx.doi.org/10.17993/3cemp.2022.110250.232-248.

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Design of energy efficient load balancing models in cloud environments requires in-depth analysis of the cloud architecture and nature of requests served by the cloud. Depending upon these parameters, machine learning models are designed which aim at assigning best possible resource combination to serve the given tasks. This assignment varies w.r.t. multiple task and cloud parameters; which include task time, virtual machine (VM) performance, task deadline, energy consumption, etc. In order to perform this task, a wide variety of algorithms are developed by researchers cloud designers. Each of
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Mukunzi, Thomas, Dongjun Huang, and Antoine Nzaramba. "An Optional Memory Balancing Algorithm for Big Data Based on Distributed File System." Indian Journal of Science and Technology 16, no. 37 (2023): 3043–49. https://doi.org/10.17485/IJST/v16i37.611.

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Abstract <strong>Background/Objectives:</strong>&nbsp;Load balancing algorithms are a type of algorithm that assists with efficient workloads spread. To reduce server overload, increase resource usage, lower latency, and maximize throughput, efficient distribution is required. There are several load balancing algorithms, all of these algorithms have flaws that render them ineffectual in many real-world settings. The current paper aims to improvise the algorithm by proposing a heuristic to decide the next job to be allotted to reduce the net response time. This is achieved by storing the incomi
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Ramteke, Rohini, A. N. Jaiswal, and R. C. Dharmik. "Design a Dynamic Resource Allocation Scheme in Virtual Environment by Implementing a Load Balancer for Session Management." International Journal of Engineering Trends and Technology 8, no. 9 (2014): 500–502. http://dx.doi.org/10.14445/22315381/ijett-v8p288.

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Algazali, Muhammad, La Surimi, La Ode Muhammad Bahtiar Aksara, Jumadil Nangi, Rizal Adi Saputra, and Asa Hari Wibowo. "Analisis Performansi Load Balancing Weighted Least Connection dengan HAProxy." Jurnal Informatika Polinema 11, no. 3 (2025): 291–98. https://doi.org/10.33795/jip.v11i3.7198.

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Aplikasi web telah menjadi bagian esensial dalam kehidupan digital masyarakat modern. Berdasarkan survei APJII 2023–2024, sebanyak 79,5% penduduk Indonesia atau sekitar 221,6 juta jiwa merupakan pengguna internet, sehingga menuntut layanan web yang cepat dan andal. Permasalahan yang muncul adalah beban server yang tidak merata, terutama saat terjadi lonjakan trafik, yang berdampak pada penurunan performa layanan. Penelitian ini bertujuan untuk menganalisis kinerja server web dengan menerapkan algoritma Weighted Least Connection (WLC) pada HAProxy, menggunakan skema bobot server 1:2, 1:3, 2:3,
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Wiranti, Dyah Ayu, Kurnia Siwi Kinasih, and Shinta Rizki Firdina Sugiono. "Implementasi Sistem Load Balancing Menggunakan Metode Least Time First Byte Dan Multi-Agent System Pada Lingkungan Virtual." Jurnal Ilmiah Informatika 4, no. 2 (2019): 63–70. http://dx.doi.org/10.35316/jimi.v4i2.583.

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In this modern era, the technology is growing rapidly, the Internet is misled. This condition will be related to the service provider or commonly referred to as a server. Increasing the number of clients, the server also has to work heavier so that it often occurs overload. The Load Balancing mechanism uses the Least Time First Byte and Multi Agent system methods. This mechanism allows the server to overcome the number of users who perform service requests so that the load from the server can be resolved. This solution is considered efficient and effective because the request process on the in
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Chiang, Mei-Ling, and Tsung-Te Hou. "A Scalable Virtualized Server Cluster Providing Sensor Data Storage and Web Services." Symmetry 12, no. 12 (2020): 1942. http://dx.doi.org/10.3390/sym12121942.

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With the rapid development of the Internet of Things (IoT) technology, diversified applications deploy extensive sensors to monitor objects, such as PM2.5 air quality monitoring. The sensors transmit data to the server periodically and continuously. However, a single server cannot provide efficient services for the ever-growing IoT devices and the data they generate. This study bases on the concept of symmetry of architecture and quantities in system design and explores the load balancing issue to improve performance. This study uses the Linux Virtual Server (LVS) and virtualization technology
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Kaur, Mandeep, and Rajni Mohana. "Static Load Balancing Technique for Geographically Partitioned Public Cloud." Scalable Computing: Practice and Experience 20, no. 2 (2019): 299–316. http://dx.doi.org/10.12694/scpe.v20i2.1520.

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Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud are increasing day by day. Handling public cloud is becoming unmanageable in comparison to other counterparts. Though fog technology has reduced the load on centralized cloud resources to a remarkable extent, still load handled at cloud end is significantly high. Geographic partitioning of public cloud can resolve these issues by adding manageability and efficiency in this situation. Dividing public cloud in smaller partitions opens ways to manage resources
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B. K., Prabhakara, Chandrakant Naikodi, and Suresh L. "Ford Fulkerson and Newey West Regression Based Dynamic Load Balancing in Cloud Computing for Data Communication." International Journal of Computer Network and Information Security 15, no. 5 (2023): 81–95. http://dx.doi.org/10.5815/ijcnis.2023.05.08.

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In Cloud Computing (CC) environment, load balancing refers to the process of optimizing resources of virtual machines. Load balancing in the CC environment is one of the analytical approaches utilized to ensure indistinguishable workload distribution and effective utilization of resources. This is because only by ensuring effective balance of dynamic workload results in higher user satisfaction and optimal allocation of resource, therefore improve cloud application performance. Moreover, a paramount objective of load balancing is task scheduling because surges in the number of clients utilizin
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N. Le, Hieu, and Hung C. Tran. "ITA: The Improved Throttled Algorithm of Load Balancing on Cloud Computing." International journal of Computer Networks & Communications 14, no. 1 (2022): 25–39. http://dx.doi.org/10.5121/ijcnc.2022.14102.

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Cloud computing makes the information technology industry boom. It is a great solution for businesses who want to save costs while ensuring the quality of service. One of the key issues that make cloud computing successful is the load balancing technique used in the load balancer to minimize time costs and optimize costs economically. This paper proposes an algorithm to enhance the processing time of tasks so that it can help improve the load balancing capacity on cloud computing. This algorithm, named as Improved Throttled Algorithm (ITA), is an improvement of Throttled Algorithm. The paper u
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K S, Febina, Tanuja Hemchand, Shamimunnisabi ., Roopa P, and Aishwarya P. "A Survey on Issues and Challenges of Load Balancing Techniques in Cloud Computing Environment." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 1644–48. http://dx.doi.org/10.22214/ijraset.2023.48878.

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Abstract: Cloud computing has transformed user services by introducing a new model that allows for pay-per-use access to information technology services at any time and from any location. Numerous businesses are moving their operations to the cloud as a result of the flexibility offered by cloud services, and additional data centers are being set up by service providers to provide users with services. However, it is essential to ensure efficient resource utilization and cost-effective task execution. Based on load balancing, task scheduling, resource management, quality of service, and workloa
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Erlangga, Mochamad Dimas, and Agus Prihanto. "Analisis Reliabilitas Multiserver Menggunakan Load Balancing dengan Metode Denial Of Service." Journal of Informatics and Computer Science (JINACS) 3, no. 03 (2021): 258–66. http://dx.doi.org/10.26740/jinacs.v3n03.p258-266.

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Abstrak — Pada saat ini jaringan komputer memiliki ancaman yang begitu besar, ancaman tersebut berupa Serangan Denial of Service. Dengan cara membebani server atau jaringan komputer serangan ini dilakukan dengan mengirim lalu lintas yang tidak berguna dan juga besar secara terus menerus pada satu server yang telah menjadi target serangan, sehingga server yang menjadi objek serangan harus menghabiskan begitu banyak waktu dan juga menambah beban kerjanya dalam menangani serangan lalu lintas. Web server merupakan salah satu sistem yang berpotensi terkena serangan, seperti serangan Denial Of Servi
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Mohammed, Sarah Hashim, and Ammar Dawood Jasim. "Evaluation of Firewall and Load balance in Fat-Tree Topology Based on Floodlight Controller." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1157. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1157-1164.

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Today it has become important to reconfigure the networks in to new form to be more manageable, scalable, dynamic and programmable. The networks recently are so inflexible and failing to deal with the required changes for the Information Technology. Software Defined Networking (SDN) is a modern paradigm that focused to change the main idea of current network infrastructure (traditional network) by breaking the chain between the data forwarding and the control planes to introduce flexible programmability network. This paper makes comparison between the performance of traditional fat-tree networ
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Sarah, H. Mohammed, and D. Jasim Ammar. "Evaluation of firewall and load balance in fat-tree topology based on floodlight controller." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 3 (2020): 1157–64. https://doi.org/10.11591/ijeecs.v17.i3.pp1157-1164.

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Today it has become important to reconfigure the networks in to new form to be more manageable, scalable, dynamic and programmable. The networks recently are so inflexible and failing to deal with the required changes for the Information Technology. Software Defined Networking (SDN) is a modern paradigm that focused to change the main idea of current network infrastructure (traditional network) by breaking the chain between the data forwarding and the control planes to introduce flexible programmability network. This paper makes comparison between the performance of traditional fat-tree networ
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Udhayakumar, U., and G. Murugaboopathi. "Elastic Virtualized Network Security Based on Multi-Tenant using Progressive Route Scheduling in a Cloud Data Center." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2507–12. https://doi.org/10.35940/ijeat.C5777.029320.

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Information security in the cloud has become a serious problem on the Internet. There are safety standards created by the resource in traditional computing. The public cloud providers, secure transfer, and the use of public resources due to the availability of the Internet is the cloud facing distributed data centers. Providing the required level of security, approaching adopting various security components such as security watchdog, IDS / IPS system, security framework, access control framework, security management and so on. In this proposed system to improve the data transmission security t
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Kaur, Gagandeep. "A Survey on Generating Load Balancing Algorithm for Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 718–22. http://dx.doi.org/10.22214/ijraset.2022.43844.

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Abstract: The elaboration of IT led Cloud calculating technology crop as a new prototype in furnishing the services to its druggies on rented base at any time or place. Considering the inflexibility of cloud services, innumerous associations switched their businesses to the cloud technology by setting up more data centers. Nonetheless, it has come obligatory to give profitable prosecution of tasks and applicable resource application. A many approaches were outlined in literature to enhance performance, job scheduling, storehouse coffers, QoS and cargo distribution. Cargo balancing conception p
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Abinaya, I., and S. Faizal Mukthar Hussian. "Efficient Equalization Work in Peer-to-Peer System." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 65–68. http://dx.doi.org/10.51983/ajcst-2012.1.1.1667.

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Peer-to-peer (P2P) architectures present benefits like scalability, load balancing and fault tolerance when compared to Client/Server architectures. Structured P2P systems furthermore feature efficient lookup mechanisms: an exact search is usually performed with logarithmic complexity relative to the number of peers in the system. The notion of virtual servers, peers participating in a heterogeneous, structured peer-to-peer (P2P) network may host different numbers of virtual servers, and by migrating virtual servers, peers can balance their loads proportional to their capacities close by in th
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