A Comparative Study of Efficient Healthcare Applications Addressing Scalability Challenges in Cloud Computing
Amreen Ayesha · 2025
Cloud estimating is essential in modern e-healthcare, facilitating the adept and ascendable administration of the extensive dossier caused by health care uses and IoT devices. scalability poses a large challenge, particularly in directing fluctuating workloads, guaranteeing legitimate-occasion data processing, and efficiently allocating money in response to variable demands. These challenges can bring about help interruptions, increased abeyance, and functional incompetence, which are specifically detracting in healthcare atmospheres that require correct and prompt reactions. Tackling scalability challenges is critical to fully harnessing the benefits of cloud calculating in health care, to a degree enhanced approachability, advanced ability use, and improved patient care. This paper determines an all-encompassing reasoning of the scalability challenges faced by cloud-located healthcare arrangements, fixating existent bottlenecks and inefficiencies inside current foundations. It investigates innovative answers, containing fog and edge calculating, blockchain integration, and refined capability distribution methods to check these disadvantages. The study stresses the advantages of a climbable cloud foundation, to a degree the seamless unification of IoT ploys, reinforced data processing proficiencies, and support for progressive health care aids like remote listening and predicting science of logical analysis. The aim of this paper is out give a particularized understanding of scalability issues in cloud computing for health care and to intend designs to address these challenges while promoting the growth of strong, adept, and patient-centered healthcare structures.