An Approach for CEP Query Shipping to Support Distributed IoT Environments

In recent years, the amount of data has significantly increased. Deriving information and, consequently, knowledge from this data leads to huge benefits. To realize this, oftentimes Complex Event Processing is employed. Usually, current solutions process data on monolithic IT infrastructures. However, for the emerging Internet of Things paradigm, this is not adequate, because high efficiency is of vital importance. To achieve this, distributed data processing with short communication paths and reduced network traffic need to be enabled. In this paper, we introduce an approach for CEP query shipping to support distributed Internet of Things environments.

1. Introduction

The Internet of Things (IoT) emerges as a new paradigm leading to profitable approaches, such as autonomous environments [1], [2]. However, the rise of the IoT even worsens the issues regarding data processing and analysis, also known as the Big Data problem, which comprises coping with large data volume, velocity, and variety [3]. In traditional approaches, such as the famous Knowledge Discovery process introduced by Fayyad et al. [4], data is pre-processed, integrated, and then analyzed to extract interesting patterns from it. However, with Big Data, especially originating from the IoT, those traditional approaches are not feasible. The high distribution of data and their heterogeneity lead to the need for new approaches.