With the huge expectations for the upcoming 5th generation cellular network technology (5G) and with the ambition towards highly connected societies, the demands for future networks are ever-increasing. 5G is an umbrella term for upcoming network technologies coming in 2020’s. That includes new antenna technologies and introduces new band- widths. One of the most intriguing and revolutionary technologies is network slicing. The concept is to slice down mobile broadband networks to create number of virtual mobile networks with optimised profiling for each usage scenario. For personal mobile devices alone, there is need for sophisticated network slicing. Mobile devices rely on the network very differently depending on what application is in use. E.g. a video streaming services rely heavily on downstream bandwidth but do not care much about upstream bandwidth or latency. Mobile games, on the other hand need low latency in both upstream and downstream but not much bandwidth. Map services and navigation applications poll the service frequently but do not require continuous data stream in either direction and health monitoring applications use only little background data infrequently. Mobile devices can change quickly from application to another, which requires the slices to be dynamically generated and allocated. This thesis is about network slicing in application aware networks and implementation of traffic inspector for Android mobile devices to monitor network behaviour. The collected network data is refined to indicate networks stream sizes for each process running on the end user equipment. Based on the analysis of this data, feasible network profiles are introduced. The results of this study suggest that network efficiency could be improved by application-based network slicing for mobile services. The individual data streams for each process are distinct. Additionally, it was found that in different applications, these data streams have their own characteristics. Based on these findings, the feasibility of application aware network slicing for these applications seems probable and it could result in improvement in network efficiency.