A Review on existing cloud load balancing techniques

Cloud computing is a set of services provided via the internet, or "the cloud." It involves the use of remote servers in order to store and retrieve data rather than using local hard drives and internal data centres. Pre-cloud computing, organizations needed to buy and maintain their own servers for business requirements. It involved purchasing sufficient server space reduce downtime and outages, and to support peak traffic volume. Consequently, vast amounts of server space were left idle for most of the time. Cloud service providers today enable enterprises to minimize the need for on-site servers, maintenance staff, and other expensive IT resources. Load balancing refers to the method of distributing incoming network traffic evenly across multiple servers or computing resources to ensure no single system is overwhelmed. It plays a vital role in optimizing resource utilization, enhancing system responsiveness, and maintaining service reliability. By dynamically reallocating workloads, it enables organizations to meet varying performance demands and application requirements efficiently. In cloud computing environments, load balancing is especially crucial, as it helps manage traffic across distributed resources in real time. It not only facilitates better handling of peak loads but also supports fault tolerance by redirecting traffic from failed or underperforming servers to healthy ones. This proactive management helps minimize downtime, ensures high availability of services, and enhances the end-user experience. Furthermore, cloud load balancing contributes to improved scalability by allowing infrastructure to expand or contract based on demand without compromising performance. It also plays a role in securing the system by isolating workloads and preventing malicious traffic from impacting critical services. As a result, load balancing serves as a foundational element in modern cloud infrastructure, supporting both operational efficiency and robust service delivery.