From Theory to Practice: Addressing Load Balancing Challenges in Real-Time Cloud Applications
Keywords:
Cloud Computing, Load Balancing, Load Balancing Algorithms, Real-time ApplicationsAbstract
The world is currently steered by the paradigms of cloud technology. The internet tools work in alignment with cloud technologies, since they have become its essential components. It addresses challenges like load balancing which ensures efficient distribution of traffic among multiple servers for optimal service delivery. This paper is therefore dedicated to finding out how to identify and solve specific challenges related to load balancing in real time cloud computing applications. The existing study therefore puts in doubt the notion that universal load balancing technology can be used for all cloud applications. This revelation highlights a notable void in literature and practices, expressing the need for customised strategies responsive to customers’ needs on a real time basis. Our results show that if adapted balancing solutions are used, instead of traditional techniques, real-time system’s performance can profit from improved efficiency and reliability. Hence, this work enhances our understanding of the subtleties of cloud computing, especially those issues which affect its ability to perform well in diverse applications. These findings pave the way for future research on more reliable and efficient cloud services that can increase overall impact on technological growth as well as influence both digital and physical environments.
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