… mobile environment as well as the migration delay, we define the event of task failure as one
that the offloading time … 1(a), we consider that a mobile user moves in a multi-cell network …

… -time scale approach to maximize the profit of a service provider, while satisfying users’ QoS
by allocating computing and communications resources in hierarchical mobile edge comput…

The emergence of unmanned aerial vehicles (UAVs) extends the mobile edge computing (MEC)
services in broader coverage to offer new flexible and low-latency computing services …

… edge cloud. ∙ We conduct performance evaluation over both smallscale computing clusters
and large-scale mobile … hierarchical edge cloud architecture outperforms the flat edge cloud …

… on a real world mobile app usage trace, we demonstrate that the time average profit gained
… ) for MSP while the system stability is still strong and the congestion is low for mobile users. …

… tional tasks from wireless devices to network edge, and enables real-time information …
small-scale synchronous MEC system. In this paper, we focus on a large-scale asynchronous MEC …

… We consider centralized resource allocation for mobile edge … of mobile users. In this section,
we will model both the remote resources in the cloudlet and the local resources of mobile …

… Abstract-Mobile edge computing (MEC) is an emerging paradigm to offload the server-side
resources closer to the mobile terminals compared with cloud-based computing. However, …

… The MEC system resides between the user equipment (UE) and the mobile core … mobile
edge host level and the mobile edge system level. At the mobile edge host level, mobile edge …

… a large number of mobile users in this article, obviously, this is a large-scale optimization
problem for EAs [33], [34]. For example, if we consider 1000 mobile users and 100 UAVs, the …