## 2 Edge Enabled Network Slicing
### Edge Enabled Network Slicing with Slice Isolation
As utilizing such IoT infrastructure can be costly, to reduce the market entry barriers and to efficiently exploit the potential of IoT devices, they proposed a scheme enabled by network slicing and virtualization technologies that enables the sharing of the IoT infrastructure between multiple isolated tenants. They concluded that the proposed NFV slicing orchestration mechanisms enabled the sharability of IoT resources and the automated life-cycle management of the IoT Slices. There are also some studies focused on E2E slicing together with isolation of resources. As an example, [PERSON] et al. proposed an E2E slicing framework for both computing and communication resources across the MEC architecture [37]. They pointed out that, when deploying E2E slicing in a MEC platform, the problem of isolating and allocating the computing resources in the central office and mobile edge, and network resources in the transport network and RAN must be carefully considered. As a result, they provided an NFV-enabled MEC infrastructure where a controller periodically reports the network resource status to the resource orchestrator agents which then maps this information to a physical resource to create a slice for the corresponding service. They showed that their framework successfully isolates the 5G resources between slices and ensures that resources of the deployed slices are merely sufficient to meet the latency requirements of the tenants. They also proved that the edge resources are very critical and crucial for the necessary computing and communication resources of URLLC and mMTC services. Similarly, [PERSON]. [38] designed an NFV-based MEC to realize E2E slicing over heterogeneous wireless networks. In particular, they focused on providing guaranteed E2E bandwidth and isolated resources to be able to serve applications that have QoS guarantees. Here, for big data related applications, QoS guarantees could be a high throughput or a delay-sensitive application, or it could be low latency. Specifically, the problem they focused on is that, when UEs connect to a wireless network and share a media, it would be difficult to ensure E2E QoS guarantees, especially for bandwidth hungry applications such as services that require video streaming. They pointed out that most of the current solutions do not rely on edge slicing, need modifications on devices, and have compatibility issues. In this respect, they provided the first solution that can create application-aware slices and provide QoS guarantees through the orchestration of MEC-enabled slices, without requiring any modifications of UEs. Ref. [39] also focused on E2E slicing and proposed a novel E2E network slicing framework for IoT services in 5G systems. Mainly, their solution is the first real implementation of an IoT slicing framework integrated with a 5G core network. As part of this study, they provided the complete slice building procedure, as well as its integration with the OpenAirInterface and the OpenBaton orchestrators. They concluded that their slicing framework permits to host a high number of IoT devices with diverse QoS requirements compared to non-sliced networks. Comparing the isolated and non-isolated methods, isolated slices offer guaranteed QoS and QoS. In particular, as the slice isolation enables slices to be able to operate without any interference, preserving the isolation guarantees the performances as well as maintains the fairness between slices. To summarize, an overview of all previously mentioned edge slicing studies is listed in the Table 2.