Modelling and securing data transmission for data-intensive tasks in heterogeneous cloud systems

Abstract

In this intense era of Big Data, the role of heterogeneous, or multi-cloud, technologies is exceedingly pivotal. This article explores the complexities of deploying simultaneous use of multiple leading cloud resources, while underlining the advancements these technologies offer in terms of flexibility, reliability, as well as performance optimization for both simple and complex tasks. Emphasis is placed on ensuring efficient data transmission particularly concerning the security of data-intensive tasks. The article also discusses modelling various stages of deploying heterogeneous cloud systems, with highlighted tools such as Terraform and the utilization of a cloud broker for effective implementation. The relevance of these insights is extended to the Internet of Things (IoT), which deals with vast, complex data that necessitates efficient data transfer for intensive processing tasks in heterogeneous cloud systems. The paper concludes with addressing the requirement for future research in this critical area for improving efficiency and performance in our rapidly digitizing era.