Cloud computing for big data from biomedical sensors monitoring, storage and analyze

Abstract

The paper present aspects regarding importance of using cloud computing technology for big data processing from biosensors. The wireless sensors for personal area network have applications have been used in healthcare monitoring application. There are some limitations of wireless sensors in terms of memory, energy, computation, communication, scalability and efficient management of the big data collected from biosensors. In healthcare area is need for powerful and scalable high-performance computing and massive storage infrastructure for real-time processing, storing and analyzing (online or offline) of the biosensors data by using complex algorithms for extract required values from database. The patients can interact with hospitals or doctor in offline or online, but the data must be storage by using cloud computing technology because this allow computing, storage and software services (SaaS) with customization possibilities and virtualization at low cost. The Cloud Computing can provide an open, flexible, and reconfigurable platform (PaaS) for monitoring and controlling applications.