With the increasing volumes of mobile data traffic and massive increase in the number of interconnected devices, especially on demand for “imperceptible latency” with tactile internet, and nearly 100% reliability with Internet of Thing service [1], IMT-2020 (5G) provides a Fifth-Generation (5G) system to meet new and unprecedented demands. Along with these objectives, distributed mobility management (DMM) has recently emerged as a new paradigm to design a flat and flexible mobility architecture, allowing traffic to be broken out locally closer to the edge (i.e., offloading the network core) and exploiting the use of different gateways for traffic with different connectivity and mobility requirements. Apparently, the DMM approach is a suitable candidate for mobility management in future 5G dense deployments [2]. A number of distributed mobility management schemes have been proposed in literature. For the requirements and DMM network architecture issue, Liu et al. [35] defined the requirements and provided a flattened 3GPP network mechanism, while Chan `et al. [6] introduced several SIPTO/LIPA scenarios based on DMM. For the Mobile Node’s (MN) location management issue, Giust et al. [2,7] and Bernardos et al. [8] proposed a method by querying the Central Mobility Database (CMD) and Software Define Network (SDN) and Domain Name System (DNS) server to acquire the MN’s location information. Kim et al. [9] and Jung et al. [10] proposed a multicast or point-to-point search mechanism to find an MN’s location. For the MN’s data flow issue, Sun et al. [11] presented a novel solution that supported different IP data flow by multiple IP interface. However, those proposed mechanisms did not give a specific implementation mechanism and feasibility analysis. For the performance analysis issue, Shin et al. [12] analyzed the simulation data which showed DMM mechanism is more suitable for sensitive delay and tolerance than Proxy MIPv6. Giust et al. [13] and Kim et al. [14-15] showed signal control and data transmission cost analysis. However, those performances are all cost-based analyses, which are short of the comprehensive and systematic study. 1