Modeling trade-offs in the design of sensor-based event processing infrastructures

Abstract

Systems for distributed event processing have recently gained increasing attention in a broad range of application domains. This raises the demand for methods to adapt the system design to application-specific needs. Our approach considers (1) trade-offs regarding the hardware infrastructure and (2) trade-offs in the software design. For the underlying model we categorize events along the dimensions of temporal complexity and physical distribution. This yields a categorization of events that drives trade-offs in the infrastructure design. The presented model supports design decisions in dependence on application-specific event properties and design goals

A distributed data collection and management framework for tracking construction operations

“…As a result, this need to choose specific sensors for particular operations requires the meaningfully fusion of various data streams originating from different sensors [25][26][27]. For instance, common fusion mechanisms include combining GPS with inertial navigation sensors measurements [28] or tracking materials during construction operations by fusing RFID and GPS sensor readings [29].…”