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- Title
Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic.
- Authors
Khan, Abdul Hannan; Raza, Syed Atir; Rasool, Shahid; Anwar, Aqsa; Ammar, Muhammad
- Abstract
In today's world, many advancements have been made in artificial intelligence and cloud computing. The computing and artificial intelligence networks have increased as both serve various domains of life. At the same time, multiple challenges and issues like computing performance and security have to be faced. This study aims to improve the service model and measure the cloud computing load with the help of fuzzy logic. Numerous studies have been conducted to learn about integrating cloud computing with artificial intelligence. Various designs, models, and algorithms have been studied and observed from past studies and literature. Cloud computing includes virtualization, internet service, software, and online services. The cloud provider must organize jobs to maximize benefits and meet customer service quality requirements. The cloud is overgrowing; therefore, service providers must handle enormous demands. Service availability and performance under workloads are the primary challenges. Processing many queries concurrently has increased effort. This study uses fuzzy logic and MATLAB to balance the cloud load. Fuzzy logic balances the cloud computing load using the Virtual Machine (VM) processor speed, storage capacity, and allocated load to improve processing time and storage usage.
- Subjects
FUZZY logic; VIRTUAL machine systems; ARTIFICIAL intelligence; CLOUD computing; QUALITY of service; CUSTOMER services
- Publication
Sir Syed University Research Journal of Engineering & Technology (SSURJET), 2023, Vol 13, Issue 1, p10
- ISSN
1997-0641
- Publication type
Article
- DOI
10.33317/ssurj.500