Multimedia big data computing and Internet of Things applications: A taxonomy and process model

Abstract

With an exponential increase in the provisioning of multimedia devices over the Internet of Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data – MMBD) is being generated. Current research and development activities focus on scalar sensor data based IoT or general MMBD and overlook the complexity of facilitating MMBD over IoT. This paper examines the unique nature and complexity of MMBD computing for IoT applications and develops a comprehensive taxonomy for MMBD abstracted into a novel process model reflecting MMBD over IoT. This process model addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements. A case study is presented to demonstrate the process model.