Abstract: The increasing use of mobile devices in people's daily lives facilitates the completion of several useful tasks. Mobile cloud computing enhances its benefits and gets over its limitations, such as memory, CPU power, and battery life constraints, by fusing mobile and cloud computing. Big data analytics tools allow value to be extracted from data that has four Vs: volume, variety, velocity, and veracity. This article discusses mobile cloud computing and big data analytics as they relate to networked healthcare. Together with the motivations underlying the development of networked healthcare systems and applications, the usage of cloud computing in healthcare is discussed. The paper discusses a mobile cloud computing infrastructure designed specifically for handling big data applications in the healthcare sector. This infrastructure is built on the concept of cloudlets, which are small-scale cloud data centers located closer to the end-users to enhance performance and reduce latency. The paper reviews various big data analytics methods, the necessary resources, and their applications within healthcare. Additionally, it draws conclusions about how to effectively design networked healthcare systems that leverage big data and mobile cloud computing technologies to improve healthcare services.
Keywords: Healthcare systems, Bigdata analytics, Mobile Cloud Computing, Bigdata, Cloudlet infrastructure, Healthcare applications
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DOI:
10.17148/IJARCCE.2024.13650
