Comparing load balancing algorithms for web application in cloud environment

Benlalia, Zakaria; Karim, Alamgir; Beni‐Hssane, Abderrahim; Ezzati, Abdellah

doi:10.11591/ijeecs.v17.i2.pp1104-1108

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…The TLB algorithm has several advantages such as simplicity, dynamicity, and effectiveness in terms of response time and processing time [25], [27], [34] However, it resolves the VM list from the first VM every time, resulting in unequally load distribution. In this paper, a Two Listed Throttled Load Balancing TLT-LB algorithm is introduced.…”

Section: Research Methods 31 Proposed Tlt-lb Algorithmmentioning

confidence: 99%

“…It determines the suitable VM for assigning a specific task by considering the state of the VM (available or busy) stated in the allocation table. When the number of requests is larger than the number of the available VM, the requests will be waiting until the VM becomes available [24], [25], [27], [36]. The limitation of TLB is that it checks for the available VM in the allocation table starting from the first VM every time, and it does not continue from the last allocated VM.…”

Section: Introductionmentioning

confidence: 99%

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Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment

Elnagar

ElKabbany

Al-Awamry

et al. 2022

IJECE

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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 algorithm to improve the distribution of the tasks between different VMs. The performance of the TLT-LB algorithm compared to the TLB, round robin (RR), and active monitoring load balancer (AMLB) algorithms has been evaluated using two different configurations. Interestingly, the TLT-LB significantly balances the load between the VMs by reducing the loading gap between the heaviest loaded and the lightest loaded VMs to be 6.45% compared to 68.55% for the TLB and AMLB algorithms. Furthermore, the TLT-LB algorithm considerably reduces the average response time and processing time compared to the TLB, RR, and AMLB algorithms.</span>

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Section: Research Methods 31 Proposed Tlt-lb Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment

Elnagar

ElKabbany

Al-Awamry

et al. 2022

IJECE

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“…The summary of findings as shown in Table 3. The summary of findings may be used as reference to various domains such as for cloud computing [10][11][12][13][14][15][16][17][18][19][20][21][22] and IoT [23 -25].…”

Section: Spearman's Rank Order Analysismentioning

confidence: 99%

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

Isa

Suhaimi

Noordin

et al. 2020

IJEECS

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<p>In today's era of vulnerability and volatility, technologies in an organization evolving faster than the traditional landscape. Thus, sets the stage for trust and privacy concern for all the data that flying around in the database. Research on cultural aspects toward privacy starting to attract more ongoing research effort especially in Islamic religious culture. Islam gives great importance to the fundamental human right to privacy. This study aims to investigate Islamic cultural influences on Malaysia's computer professionals' self-regulatory efficacy towards the protection of personal information privacy by adapting the research frameworks of previous works. Further, data for this research obtained through the survey with computer professionals. Out of 226 respondents, 208 data are valid and usable for this study. Spearman's Rank Order Correlation was used to determine the relationship between culture and Information privacy self-regulatory efficacy dimensions. The findings from this research could provide a better understanding of the subject matter and be used as the basis for future studies.</p>

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“…The framework depicted the arranging and execution of D3, a deadline aware management protocol that is modified for the data centre environment [19]. D3 utilizes explicit rate the management to apportion data transmission reliable with flow deadlines [20], [21].…”

Section: Introductionmentioning

confidence: 99%

VM queuing optimal scheduling in cloud using heuristic ant colony optimal based multi-objective genetic approach

Ali¹,

Mohamed²

2023

IJEECS

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The usages of cloud based applications are increasing tremendously. The cloud computing task distribution is an unknown polynomial time issue that is challengeable to find the optimal solution. In solve above mentioned issue with large amount user’s job requests, heuristic ant colony optimal based multi-objective genetic (HACOMOG) approach based job allocation and resource optimization is proposed. Utilization basis scheduler recognizes the task order and optimal resources to be scheduled. The primary contribution of the proposed technique is to develop several online techniques to find solution for the virtual machines (VM) Packing problem sharing-aware and for performing a comprehensive number of studies in order to assess their efficiency with online sharing algorithms. The proposed algorithm considers the utilization basis scheduler output and identified the optimzed task allocation technique based on job execution time, MakeSpan and throughput. The experimental outcomes show that the proposed HACOMOG Algorithm reduces 0.70 seconds job execution time (JET), 0.13 MakeSpan and improve 1.98 throughput on given parameters for 100, 200, and 500 tasks with conventional methodologies.

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Comparing load balancing algorithms for web application in cloud environment

Cited by 5 publications

References 15 publications

Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment

Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

VM queuing optimal scheduling in cloud using heuristic ant colony optimal based multi-objective genetic approach

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