Mist computing Framework for Delay Sensitive Medical Applications

Abstract

Cloud Computing made possible to manage large storage, thereby providing improved processing by utilizing virtual processors. As technology is progressing, researchers and industries are coming together to built smart technologies to automate activities performed or managed by human beings. Since, the advent of IoT has made communication possible between things, automation has reached new heights. IoT along with cloud technology is made applicable to number of areas for automation of functions carried out in these areas. Cloud being distant from the application layer, results in slow processing. The challenge was mitigated by Fog computing to some extent. IoT based applications designed for Healthcare are life critical and cannot afford slow processing specially in applications where late decision making might cause death of patient. Therefore, this research mainly targets the IoT in healthcare sector and as a result of research, latency is found being the main hindrance in applying IoT in delay sensitive medical applications. Moreover, a thorough research is carried out on fog computing in healthcare and IoMT framework application. This research addresses and resolves the problem of latency in delay sensitive medical applications. To address the issue of latency, Mist framework for delay sensitive applications is proposed which makes the use of mist nodes for better latency, network usage and execution time. Using Ifogsim simulator, comparison between cloud and proposed Mist infrastructure is performed. It can be observed in the results that introducing Mist nodes between cloud and application layer has expediated the processing process which is necessary in healthcare services to save lives of humans.