• Hitesh Parmar

This study analyzes the complex terrain produced by IoT devices and cloud computing. As connected devices reach 30 billion by 2025, cloud infrastructure needs grow dynamic and sophisticated. The main goal is to analyze and evaluate IoT-based resource optimization methods for various cloud service architectures and resource categories. The inquiry covers IaaS, PaaS, and SaaS, exploring their particular difficulties and prospects. A systematic examination evaluates optimization methods for managing computing, storage, and networking resources. This study advances IoT-driven cloud resource allocation debate by setting the framework for complete insights. The insights will drive future advances to handle IoT and cloud computing concerns

Internet of Things (IoT), Cloud Computing, Resource Optimization, Cloud Service Models, Scalable Infrastructure, IoT Growth Projections, Dynamic Resource Allocation

"STUDY ON IOT BASED RESOURCE OPTIMIZATION TECHNIQUES FOR CLOUD BASED ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.142-150, January-2018, Available :http://www.jetir.org/papers/JETIR1801339.pdf

"STUDY ON IOT BASED RESOURCE OPTIMIZATION TECHNIQUES FOR CLOUD BASED ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp142-150, January-2018, Available at : http://www.jetir.org/papers/JETIR1801339.pdf