… neural network (DNN)-task enabled mobile edge computing (… of task partitioning and
offloading for a DNN-task enabled MEC network that consists of a single server and multiple mobile …

… task partitioning and user association in an MEC system, aiming to minimize the average
latency of all users. We assume that each task can be partitioned … of task partitioning ratios and …

… We have introduced a greedy task graph partition offloading algorithm, where the tasks … the
network delays and the massive resulting traffic through the network, edge computing (EC) [2] …

… In this paper, we study a DNN task partitioning and offloading problem among multiple
mobile devices and one MEC server. To solve the challenge of jointly partitioning DNN tasks for …

… In this paper, we investigated task migration with partitioning method in vehicular networks
to balance loads among MECSs in a MEC system. We considered a scenario in which the …

… application partitioning in mobile edge and cloud computing … the task offloading problem
by combining the radio and computation resource allocation in an edge computing network to …

… resources, while the authors in [14] considered the joint task offloading and resources … for
joint task offloading and resource allocation in a multi-server MECassisted network so as to …

… Sardellitti “Joint optimization of radio resources and code partitioning in mobile edge
computing,” [Online]. Available: http://arxiv.org/pdf/1307.3835v3.pdf [11] D. Huang, P. …

… mobile edge computing (MEC) was used to describe the service executions at a mobile base
station by IBM and Nokia Siemens Network [7… tasks, we assume that they can be partitioned …

… paradigm to enhance the computing capability of hardware-… MEC network, where each WD
has a sequence of tasks to … hand, allows a task to be partitioned and executed both locally …