… Optimization (BPSO) algorithm to achieve near-optimal … to mobile edge network results
in Mobile Edge Cloud (MEC), … , there have several number of virtual machines (VM) whose …

… The disadvantages of using virtual machines in mobile edge cloud … optimal virtual network
functions, four objectives are defined in this research work. The number of virtual machines …

… optimal placements of virtualized network functions (VNFs) for data processing requests
of IoT applications in a multi-tier cloud network, … as software running in virtual machines (VMs), …

… supporting multiple application services in the edge network on the service request response
delay of each application. In … optimization algorithms running on a virtual machine with 2.10 …

… service placement, we first utilize Lyapunov optimization … The service virtual machine is
migrated to follow user’s mobility to provide … With a reasonable partitioning of the edge network, it …

… we study the problem of jointly optimizing the access network … coordinating all users in the
entire edge network system. (3) … applications run on top of the MEC host in virtual machines or …

… joint edge server deployment and service placement model … all edge servers under the
constraints of the number of edge … optimization goal and constraints of our model, there are two …

… , we present a Joint Power and Resource optimization algorithm, called JointPR. The key
objectives of JointPR are minimizing the total power consumption and resource wastage of a …

… hosts a subset of Virtual Machines (VMs), … placement problem is formulated as an MILP
optimization problem. The goal of the optimization model is to provide a (sub)optimal placement …

… optimal solution under the two types of mobility models. Our experimental results show that
the proposed algorithms obtain near optimal … on the placement problem in cloud and edge …