Dynamic clustered hierarchical real time task assignment & resource management for IoT based smart human organ transplantation system

Abstract

Real time systems are pervasive and used in many diverse and complex applications like automotive system, avionics, health care, transportation and consumer electronics. Real time systems are used in many complex applications that increases real time computation demand and recent trends in real time software development industry is to divide larger and complex system into smaller subsystem will result into major paradigm shift from uniprocessor architecture to multiprocessor architecture. Development of multi-core real time scheduling algorithm is todays need to efficiently use this multi-core platform. These paper present different categories of existing scheduling algorithms in uni-processor and multiprocessor platform. It defines the various opportunities, challenges and issues involved in real time scheduling for multi-processor system. Human organ transplantation is one of the extraordinary researches in 20th century. Human organ transplantation is very complex and costly process consists of various phases and stakeholders. Effective and efficient management of these is today's need. The main objectives of this paper is to describe the development of Dynamic Cluster based Hierarchical Real Time scheduling framework for human organ transplantation system based on Internet of Things(IOT) to enhance efficiency, rapidity, safety, quality and management of human organ transplantation process. Real time scheduling with hierarchical approach enhance real time software integration, fault isolation among different applications, reusability of real time software. Dynamic mapping of cluster allows to efficiently using processor time during runtime. It also enhances efficient use of resource use in human organ transplantation process.