The Design of a Service-Level Architecture for Handling Big Data Using Mobile Cloud Computing and the Internet of Things -AOS

The rapid and continuous expansion of interconnected devices equipped with sensors and actuators, utilizing diverse technologies, has led to an exponential increase in data generation. Effectively storing and processing this vast amount of data necessitates advanced computational resources, which can be provided by mobile cloud computing systems. The evolution of the Internet of Things (IoT) has facilitated machine-to-machine communication, allowing extensive data collection and prolonged storage for processing using robust cloud-based applications and big data analytics. However, there is currently no established method for managing the enormous volume of data generated by IoT devices in a way that enables seamless communication in both real-time and non-real-time contexts. This results in challenges related to heterogeneity and interoperability. Addressing this issue requires the development of a reference architecture that integrates big data, mobile cloud computing, and IoT, fostering device interoperability and heterogeneity. The proposed service-level architecture aims to unify these technologies, demonstrating their interaction and facilitating scalability, integration, and interoperability across various services. Ultimately, this architecture will provide an innovative approach to handling big data within mobile cloud computing and IoT environments, ensuring seamless communication among devices from different manufacturers.