Abstract
Cloud computing has become integral to modern IT, with major companies like Google, Microsoft, IBM, and Amazon providing various cloud services to users. This paper explores the significance and importances of load balancing in cloud computing, a crucial aspect of maintaining efficient and responsive cloud services. It delves into different load-balancing algorithms and mechanisms, offering a comprehensive understanding of the subject matter through charts, graphs, and extensive research analysis. The study begins by outlining the core concepts of cloud computing, which includes Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It emphasizes the importance of cloud service providers (CSPs). The paper then shifts its focus to load balancing, a critical component of cloud maintenance. It addresses the challenges of overloading within the cloud infrastructure and introduces Load Balancing as a Service (LBaaS) as a solution. Static load balancing algorithms like Round Robin and Weighted Round Robin are discussed in detail, highlighting their approach to distributing loads among servers. Dynamic load balancing algorithms, such as Min-Min and Max-Min, are also explored, each with its distinct advantages and limitations. Furthermore, the paper delves into additional load balancing techniques like Logical Ring Redirection, Load Buffer Range Method, Random Early Detection Method, and Page Caching. Distributed Web Server (DWS) is presented as a reliable solution for managing increasing loads, with its architecture and components outlined. In conclusion, this paper offers a comprehensive insight of load balancing in cloud servers, addressing issues of overloading and under loading servers. It discusses the rationale behind various algorithms and techniques. The study encourages further exploration of load-balancing solutions and highlights the need for algorithm complexity consideration and real-time implementation testing in future research and development efforts.
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