Resource Management in Media Cloud of Things

With the rapid increase in multimedia content on the Internet, media cloud is gaining importance. Media cloud provides ubiquitous access to the digital media content. It helps manage resources and advertise services more effectively. Since cloud computing provides ubiquitous access, it can receive data from any devices that has the capability to connect to it. Specially, with increasing Internet of Things (IoT) services, any object/thing can generate data. In case of Visual Sensor Network and Closed Circuit Television (CCTV) connected to cloud, a lot of multimedia data is sent to the cloud. The amalgamation of IoT with cloud computing creates Cloud of Things. With increasing heterogeneous and multimedia based IoT applications, a lot of data is being generated. This consumes a lot of network bandwidth as well as resources of the cloud, which have to be managed effectively for load balancing, fair share, and efficient utilization. In this study, we present a resource management model of Cloud of Things keeping in view resource prediction, allocation, advanced reservation, pricing, and refunding. We implemented and evaluated our model using CloudSim toolkit. The results and discussion justify and validate our model's performance.