A Comparative Study on Load Balancing Algorithms in Cloud Environment

Hamdani, Mostefa; Aklouf, Youcef; Chaalal, Hichem

doi:10.1145/3447568.3448466

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Concerning effectively managing user requests, loadbalancing methods must be used [10]. Load-balancing serves as a tool for assignation and also controls the system's overall rendering [11]. The Equally Spread Current Execution (ESCE) is one of the algorithms that act as a load balancer to process user requests.…”

Section: Introductionmentioning

confidence: 99%

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Zamri¹,

Pakhrudin²,

Saaidin³

et al. 2023

IJACSA

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Cloud computing is one of the significant technologies that is used to provide seamless internet surfing for large-scale applications and data storing purposes. The cloud is described as a large platform that enables users to access data from the internet without needing to buy storing space in their equipment such as a computer. Many studies have analysed the load-balancing technique on the cloud to distribute tasks equally between servers using the Equally Spread Current Execution (ESCE) algorithm. ESCE, which is a dynamic load balancer, has quite a few problems such as average level performance and too long of response time which affected the Quality of Services. This research has simulated a cloud computing concept using the ESCE Load Modelling technique with the CloudAnalyst simulator for three servers of Data Center (DC) locations. The ESCE was simulated to enhance its algorithm's performance as a load balancer and higher throughput in the cloud environment. The result shows that ESCE average overall response time is shortest when the DC is located at R0 with response times of 15.05s, 13.05s with 10 VMs, and 8.631s with the Optimize Response Time brokerage policy. This research is significant to promote notable load-balancing technique testing for virtualized cloud machines data centers on Quality of Services (QoS) aware tasks for Internet of Things (IoT) services.

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Section: Introductionmentioning

confidence: 99%

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Zamri¹,

Pakhrudin²,

Saaidin³

et al. 2023

IJACSA

View full text Add to dashboard Cite

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Static and dynamic load balancing algorithms most commonly used in different environments

Johanna,

Miguel,

Leonardo

2024

VI INTERNATIONAL SCIENTIFIC CONVENTION OF UNIVERSIDAD TéCNICA DE MANABí: Advances in Basic Sciences, Informatics and Applied En

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Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis

Mahmood

Yahaya

2023

SSURJET

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This review paper provides a comprehensive assessment of scheduling methods for cloud computing, with an emphasis on optimizing resource allocation in cloud computing systems. The PRISMA methodology was utilized to identify 2,487 articles for this comprehensive review of scheduling methods in cloud computing systems. Following a rigorous screening process, 30 papers published between 2018 and 2023 were selected for inclusion in the review. These papers were analyzed in-depth to provide an extensive overview of the current state of scheduling methods in cloud computing, along with the challenges and opportunities for improving resource allocation. The review evaluates various scheduling approaches, including heuristics, optimization, and machine learning-based methods, discussing their strengths and limitations and comparing results from multiple studies. The paper also highlights the latest trends and future directions in cloud computing scheduling research, offering insights for practitioners and researchers in this field.

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A Comparative Study on Load Balancing Algorithms in Cloud Environment

Cited by 3 publications

References 11 publications

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Static and dynamic load balancing algorithms most commonly used in different environments

Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis

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