## 2 Edge Enabled Network Slicing
### Edge Enabled Network Slicing without Slice Isolation  
Having these issues in mind, some frameworks for virtualizing wireless networks have been proposed in the last years. As an example, ETSI is one of the research institutes that publishes a group report on the support of network slicing in MEC systems where they present some use cases, requirements, and recommendations [26]. In their report, they first discussed different definitions and specifications of network slicing concepts of different institutes such as NGMN, ONF, 3 GPP, and ETSI ISG NFV. Then, based on these concepts, they discussed some use cases on the support for MEC-enabled network slicing and provided some recommendations and key issues. This is an important work in the sense that it gathers all the existing deployments of network slicing and tries to come up with a common MEC-enabled slicing technique that is consistent with all the platforms by analysing what they currently have, what is necessary, and what should be done in the future to fully realize such a scheme. Ref. [27] introduced a 5G enabled platform for vertical automotive industry. On the integration of NFV to the edge of the networks towards fast and reliable 5G systems, and considering critical slicing requirements of such an infrastructure, they proposed a novel slicing framework called Katana which basically is an end-to-end (E2E) slice manager. The key advantage of this architectural approach is that it offers simplicity in building and maintaining applications, flexibility, and scalability, while the containerized approach makes the applications independent of the underlying system. The results show that, the proposed framework is promising as it provides noteworthy improvement on the access time, reducing the latency by up to 9 times compared to not using it. In addition to that, they measured the scalability performance of ETSI-Open Source MANO platform which is an E2E network service orchestrator [28]. For the performance analysis, they considered slice deployment and termination times along with slice deployment time scalability which is a measure of scalability of slice deployment operations. As a result of this experiment, obtained graphs are linear which shows that OSM orchestrator has an excellent scalability. In particular, their study is promising as it shows that deployment of a NFV at the edge proves to be a pivotal step towards an acceleration in vertical industries. Similarly, [PERSON]. [29] focused on the benefits of edge slicing for vehicular technologies. In their work, they proposed an edge computing algorithm based on network slicing and load balancing techniques to satisfy the demands of powerful computation and large storage resources by the vehicles. As part of their solution, they used both NFV and SDN slicing techniques. That is, they utilized NFV to virtualize the data plane of the sliced edge nodes and SDN to decouple the control plane from the data plane. When compared to state-of-the-art algorithms based on how successfully they are able to manage offloading the demanded tasks from the vehicles and their processing power utilization, which is the ratio between consumed processing power and maximum processing power averaged for all nodes in the physical network, their algorithm improved the resource utilization by 48%. Ref. [30] also focused on the management of vehicular networks by utilizing MEC and the two key techniques of network slicing. Considering the increased volume of data traffic generated by map-assisted drivings, they proposed an edge slicing architecture to satisfy the increased number of computing and storage tasks and to avoid delays resulting from the transmission of data between MEC and the cloud servers. Here, by enabling NFV in MEC, they are able to program different functions on the server and support diversified applications. In addition, by using SDN concepts, they are able to provide a global control plane to the MEC servers and manage resources and the data traffic more efficiently.