Situation-Aware Data-Driven Decision Making in Smart Environments Using the MapReduce

With the advent of technologies such as Internet of Things (IoT) and Cloud Computing we have now entered the Big Data era. In particular, in a modern sensor-laden environment, often called smart environment, we expect that a huge amount of data can be generated from many sources including hardware and software sensors, and oftentimes humans as sensors too. The significant amount of data thus generated can potentially help smart environments make situation-aware data-driven decisions based on the predicative capability of future situations in a timely manner. However, massive data requires efficiency in data processing. Therefore, scalable solutions will be required to allow smart environments to provide effective and efficient decisions. This paper presents a framework for situation-aware data-driven decision making in smart environments using the MapReduce.