WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]

In a cloud computing environment, a device can be varied from a high-end computing workstation to mobile devices like smart phone or PDA to respond efficiently to such diversified environment, a cloud-based system must possess mechanisms that allow applications requested delivered fit according to the client device's characteristics and capabilities. Due to the rapid changes in Information Communication Technology (ICT) devices such as mobile phones, TVs and personal computers have different capabilities to support various file formats of multimedia contents. Therefore, in order to help these devices, with different processor speed, memory size, storage size and power, to be able to receive the appropriate content, the cloud must have a mechanism that support multimedia adaptation capability.
To solve this issue, we proposed a method to help the cloud provides a suitable content for devices. Our method is based on three stages: 1) define the problem formulation for device heterogeneity; 2) model a mathematical equation for device heterogeneity detection; 3) develop a cloud-based device heterogeneity detection algorithm.
At the end of this research, we will provide a device heterogeneity detection algorithm that provides accurate information in resolving the heterogeneous device detection issues.