DQS-Cloud: A Data Quality-Aware Autonomic Cloud for Sensor Services

With the advent of Internet of Things, the field of domain sensing is increasingly being servitized.In order to effectively support this servitization, there is a growing need for a powerful and easy-to-use infrastructure that enables seamless sharing of sensor data in real-time.In this paper, we present the design and evaluation of Data Quality-Aware Sensor Cloud (DQS-Cloud), a cloud-based sensor data services infrastructure.DQS-Cloud is characterized by three novel features.First, data-quality is pervasive throughout the infrastructure ranging from feed discovery to failure resilience.Second, it incorporates autonomic-computing-based techniques for dealing with sensor failures as well as data quality dynamics.Third, DQS-Cloud also features a unique sensor stream management engine that optimizes the system performance by dynamically placing stream management operators.This paper reports several experiments to study the effectiveness and the efficiency of the framework.