Performance Analysis of Load Balancing Techniques in Cloud Computing Environment

V, Raviteja Kanakala; Reddy, V. Krishna

doi:10.11591/telkomnika.v13i3.7237

Cited by 15 publications

(12 citation statements)

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“…The load balancing problem becomes more important when the user demand increases for computing power. The aim of load balancing is to improve system performance through an application load (Kanakala et al , 2015). Load balancing is categorized as centralized and decentralized (Dam et al , 2018).…”

Section: Related Workmentioning

confidence: 99%

Resource-aware load balancing model for batch of tasks (BoT) with best fit migration policy on heterogeneous distributed computing systems

Alam¹,

Haidri

Shahid

2020

IJPCC

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Purpose Load balancing is an important issue for a heterogeneous distributed computing system environment that has been proven to be a nondeterministic polynomial time hard problem. This paper aims to propose a resource-aware load balancing (REAL) model for a batch of independent tasks with a centralized load balancer to make the solution appropriate for a practical heterogeneous distributed environment having a migration cost with the objective of maximizing the level of load balancing considering bandwidth requirements for migration of the tasks. Design/methodology/approach To achieve the effective schedule, load balancing issues should be addressed and tackled through efficient workload distribution. In this approach, the migration has been carried out in two phases, namely, initial migration and best-fit migration. Using the best-fit policy in migrations helps in the possible performance improvement by minimizing the remaining idle slots on underloaded nodes that remain unentertained during the initial migration. Findings The experimental results reveal that the proposed model exhibits a superior performance among the other strategies on considered parameters such as makespan, average utilization and level of load balancing under study for a heterogeneous distributed environment. Originality/value Design of the REAL model and a comparative performance evaluation with LBSM and ITSLB have been conducted by using MATLAB 8.5.0.

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Section: Related Workmentioning

confidence: 99%

Resource-aware load balancing model for batch of tasks (BoT) with best fit migration policy on heterogeneous distributed computing systems

Alam¹,

Haidri

Shahid

2020

IJPCC

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“…In prior to the review on the load balancing techniques, the paper includes the issues that are present in the mobile clouds related to the virtual balancing of the load. The survey on the issues of the virtual balancing of the load are presented below under the following topics as reviewed from the Ghomi et al [1], Milani, et al [2], Rukman, and Rubal [41], RaviTeja et al [53] and Al Nuaimi et al [29]. The following section presents the survey on the prevailing virtual load-balancing methods available for the cloud followed by the improvement that could be attained in the mobile-cloud on using the load-balancer in the next section.…”

Section: Confrontations In the Mobile Cloud Based Load-balancingmentioning

confidence: 99%

Survey on Virtual Load Balancing Architectures in Mobile Cloud

Duraipandian¹

2019

JSWS

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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. So the paper details the survey on the virtual load balancing techniques available and their employment in the mobile cloud computing to improve the balancing of the influx traffic that are addressed towards the mobile cloud computing.

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“…One of the considerations of dynamic algorithms is complexity. However, this was not highlighted by many researchers due to other benefits such as the high performance and accuracy in the load distribution for the system’s nodes ( Kanakala, Reddy & Karthik, 2015 ). Different researches followed the dynamic approach such as ( De Falco et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm

Khedr

Idrees

Salem

2021

PeerJ Computer Science

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In the educational field, the system performance, as well as the stakeholders’ satisfaction, are considered a bottleneck in the e-learning system due to the high number of users who are represented in the educational system’s stakeholders including instructors and students. On the other hand, successful resource utilization in cloud systems is one of the key factors for increasing system performance which is strongly related to the ability for the optimal load distribution. In this study, a novel load-balancing algorithm is proposed. The proposed algorithm aims to optimize the educational system’s performance and, consequently, the users’ satisfaction in the educational field represented by the students. The proposed enhancement in the e-learning system has been evaluated by two methods, first, a simulation experiment for confirming the applicability of the proposed algorithm. Then a real-case experiment has been applied to the e-learning system at Helwan University. The results revealed the advantages of the proposed algorithm over other well-known load balancing algorithms. A questionnaire was also developed to measure the users’ satisfaction with the system’s performance. A total of 3,670 thousand out of 5,000 students have responded, and the results have revealed a satisfaction percentage of 95.4% in the e-learning field represented by the students.

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Performance Analysis of Load Balancing Techniques in Cloud Computing Environment

Cited by 15 publications

References 0 publications

Resource-aware load balancing model for batch of tasks (BoT) with best fit migration policy on heterogeneous distributed computing systems

Resource-aware load balancing model for batch of tasks (BoT) with best fit migration policy on heterogeneous distributed computing systems

Survey on Virtual Load Balancing Architectures in Mobile Cloud

Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm

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