Data Management Using Cloud Computing

Abstract

Through the internet, hosted services are made available via cloud computing. The hardware and software needed to set up a cloud computing platform are referred to as cloud infrastructure. On-demand or utility computing are other names for cloud computing. Data is stored on distant servers rather than local drives. In order to support the cloud computing architecture, businesses must go through drawn-out procurement processes that can take months in order to acquire physical servers and other infrastructure. The installed systems require a physical space, typically a room with adequate air conditioning and electricity. After the systems are configured and put into place, businesses need to hire specialized personnel to manage them. Scaling this laborious procedure when business expands or demand increases is difficult. Companies might buy more computers than they need, which will lead to low rates of utilization. Cloud computing solves these issues by offering computing resources as scalable, on-demand services. Over the past ten years, the cloud computing industry has grown in popularity thanks to its widely adopted "pay as you go" model, which lowers costs and allows businesses to scale up or down their IT capabilities as needed. This paper aims to provide a general overview of the cloud computing model and then go on to describe the key technologies that underpin the development of cloud computing. In addition, this paper addresses current issues and difficulties in this field and the goals of the research aimed at finding a solution to the load balancing problem.