A Novel Approach Towards an Efficient Load Balancing Algorithm in Cloud Computing

Azmat, Tazein; Kumar, Dharmendra; Dwivedi, Vijay Kumar

doi:10.1109/iscon47742.2019.9036309

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Mandal et al [63] planned a unique load balancing strategy to search for underloaded nodes to balance the load from the fully loaded nodes. Azmat et al [64] analysed the different performances of 3 existing algorithms, specifically Round-Robin (RR), Equal Spread Current Execution (ESCE) and the Throttled Algorithm (THR). Therefore, they have developed a new algorithm called Proposed DualIndex (PDI), which has higher performance and overcomes the problems of the existing algorithms.…”

Section: E Dynamic Load Balancing Frameworkmentioning

confidence: 99%

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

et al. 2022

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The computational cloud aims to move traditional computing from personal computers to cloud providers on the internet. Cloud security represents an important research area. Confidentiality, integrity, and availability are the main cloud security characteristics addressed. Cloud providers apply dynamic load balancing and reactive fault tolerance techniques to build secure cloud services to achieve high service availability. Dynamic cloud load balancing approaches distribute submitted tasks to virtual machines during tasks execution and the load of virtual machines is updated based on the system's state. Reactive cloud fault tolerance is activated for system process failures after failure effectively happens. Reactive cloud fault tolerance handles failure after the fault has occurred. Despite the significance of dynamic load balancing and reactive fault tolerance techniques and mechanisms, few reviews focus on these approaches in a systematic, unbiased method focusing on integrating cloud dynamic load balancing and reactive fault tolerance techniques. This paper conducts a systematic literature review of the existing literature concerning reactive fault tolerance, dynamic load balancing, and their integration in their basic approaches, types, frameworks, and future directions.

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Section: E Dynamic Load Balancing Frameworkmentioning

confidence: 99%

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

et al. 2022

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“…Pay-as-you-go online computing services, such as apps, storage, and processing power, are referred to as cloud computing. Due to how simple and affordable it is to use largescale applications, the demand for this technology has greatly increased [1]. A significant aspect of this environment is the scalable delivery of IT infrastructure and applications as a service, according to the definition of cloud computing, which is end user-focused on how they may experience the cloud environment such as data storage for the information technology for education, remote monitoring and mobile robot for surveillance application [2][3][4][5].…”

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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A Novel Approach Towards an Efficient Load Balancing Algorithm in Cloud Computing

Cited by 2 publications

References 12 publications

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

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

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