Intelligent SLA Selection Through the Validation Cloud Broker System

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 110230 - 110247

Published: Jan. 1, 2024

Cloud computing has transformed digital service delivery by providing scalable, flexible access to resources, including servers, storage, and applications, under a pay-per-use model. This model utilizes geographically distributed data centers enhance dynamically adjust Service Level Agreement (SLA) pricing based on demand. However, effective resource allocation strategies remain challenging, especially for ensuring low latency fast execution in real-time applications interactive services. Increased center load can degrade performance, impacting cost productivity. . To address these challenges, we developed the Intelligent Validation Broker System (IVCBS). Uses an algorithm classify virtual machine (VM) resources match them with users' request sizes, relying mathematical aligned trapezoidal membership function fuzzy logic. reduces rules improves decision-making accuracy. We tested 11 types of AWS General Purpose EC2 specifications across 31 various regions. Implementing comparing IVCBS traditional method through two policies—optimize response time reconfigure load—showed that optimized policy outperformed terms overall time, processing, total VM cost. addresses scalability performance challenges efficiently assigning VMs, managing workload distribution, preventing overload. Improving average servicing maintains high quality (QoS) energy optimization.

Language: Английский

A Critical Review on Cloud Brokerage Services

Published: March 14, 2024

Cloud Brokerage Service (CBS) budding technology that has become popular with cloud computing. CBS is a middleman providing value added services. This paper provides systematic literature review on this topic, covering multiple publications during last preceding 10 years. The aiming to provide an overview of research status, and give suggestions how should proceed.

Language: Английский

Comprehensive Analysis of Cloud Computing Performance Factors: Investigating the Impact of Response Time, Load Balancing and Service Broker Policies on Cloud Service Efficiency Using CloudSim Simulation

International Journal of Advanced Research in Science Communication and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 344 - 353

Published: Nov. 12, 2024

Cloud performance refers to the efficiency and effectiveness with which a cloud system operates delivering hosted services over internet. As computing continues offer flexibility, scalability computational power monitoring improving is essential. Performance optimization influenced by factors such as load balancing service broker policies impact response times overall user experience. This paper provides an in-depth review of key publications real-time tools identifying critical that affect efficiency. Notably, time emerged fundamental metric for quality. Using CloudSim simulation we examine evaluation criteria experimentally assess dependencies on policies, techniques data center distribution. study offers framework understanding highlights strategies enhance experience in diverse environments.

Language: Английский