Improved fuzzy Load-Balancing Algorithm for Cloud Computing System

Hamdani, Mostefa; Aklouf, Youcef; Bouarara, Hadj Ahmed

doi:10.1145/3361570.3361589

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…Hamdani et al [43] presented a load balancing algorithm that supported weighting of servers within the cloud platform by using fuzzy logic to represent different nodes in a cloud environment. Chaudhary and Kumar [44] presented a hybrid genetic-gravitational search algorithm (HG-GSA), which is a brand new technique for load balancing to reduce the total computational cost.…”

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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“…With the rapid development of data and IT technology, healthcare monitoring systems are becoming of great concern [1,2]. The modern human lifestyle among others, leads to many heart disorders such as arrhythmia, coronary occlusion, cardiac arrest, and heart inflammation.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Medical TeleMonitoring System based on IoT

Hamdani

Youcefi²,

Rabehi³

et al. 2022

Eng. Technol. Appl. Sci. Res.

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With the advancement of technology, healthcare and monitoring systems face significant issues. Internet of Things (IoT) in healthcare enables real-time health monitoring at a low cost. This paper aims to provide a medical telemonitoring system based on IoT for healthcare applications for doctors and paramedical staff. The system is made up of many sensors that can capture electrocardiograms (ECGs) in real-time and measure the temperature of the human body. The designed circuit is implemented and the obtained results are analyzed and discussed.

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