How Does GPON Support Network Slicing and Network Function Virtualization (NFV) in the 5G Era?

There are some very good reasons why GPON should be supported in network slicing and network function virtualization (NFV) in the 5G era. Some of the key areas that have to be considered when implementing GPON include: latency, Flowspace delegation, and the DBA algorithm. Having a strong understanding of the way that GPON works and why it is necessary to use a GPON is a vital part of the process.

GPON DBA algorithm

The Dynamic Bandwidth Allocation (DBA) algorithm is a key technology in GPON. It is used to allocate upstream bandwidth on GPON. Several DBA algorithms have been designed and compared. Some of them are suitable for use in 5G era. Using different DBA algorithms, operators can configure and control the amount of bandwidth that will be available to a particular tenant.

Optimising the utilization of the PON is crucial for achieving good quality of service. One of the most important features of the PON is the slicing capability. This is the ability of the PON to split into different subnets. While slicing the network, operators should be able to assign bandwidth slices to the tenants based on the demands of each subnet.

For the sake of efficiency, researchers have looked into the various methods of PON sharing. Sharing the PON between two network operators will lead to improved availability and efficiency. In addition, this approach will not impose any additional delay on PON scheduling. However, this will not be a suitable solution for low latency applications.

Moreover, PON sharing is in its infancy. Most of the existing systems are based on older GPON standards. These technologies have been developed for commercial applications and are not optimized for 5G.

Recent developments in NFV architectures have increased the slicing capacity of the PON. However, there is still a need for efficient network sharing. To achieve this, the first step is to implement the right DBA algorithm.

A number of low latency DBA mechanisms have been proposed. However, there is no one single algorithm that provides the best performance. Many factors contribute to the latency of the GPON.

The optimal trade-off point algorithm is a simple, efficient multiplexing technique that maximizes the traffic throughput while minimizing the delays. Using this method, operators can efficiently assign bandwidth slices to the tenants of the network.

Lastly, a novel DBA scheme, named AutoSlice, is proposed. This technology consists of a management module and several controller proxies. Although this scheme is not a true multi-tenant solution, it ensures scalability in the substrate network.

Flowspace delegation

The 5G era requires a network architecture with low latency and high bandwidth. This is achieved through a flexible PON architecture. It provides the ability to support many devices in the same network at the same time. It also allows the ability to scale services to the demands of customers.

One of the most prominent aspects of 5G networks is the ability to slice and share the network. Network slicing is an effective method to divide the network into segments to accommodate different applications and needs. A slice is a composition of dedicated resources. Each slice is associated with a particular operational policy.

For example, a slice may be assigned to a particular tenant or virtual network operator. Different virtual network operators can trade excess capacity among themselves to maximize usage. These resources can be used during peak times to ensure better service delivery.

Several NFV frameworks have been developed to improve the virtualization of PON functions. These include the Slice Scheduler and the Dynamic Bandwidth Allocation algorithms. In addition to the above, a Flowspace Slicing Policy rule engine has been developed to automatically translate substrate management plane policies.

The slicing ability of a PON is important for achieving better isolation. Using a Flowspace slicing policy can help ensure that different slicing techniques are not used by a single virtual network. Additionally, the slicing capabilities of the PON can improve bandwidth efficiency.

There are two major methods for controlling the slicing of a virtual network: Port-wide and intra-PHY. Both techniques are capable of delivering reasonable performance within acceptable control-plane delays.

Another option for managing the slicing of a virtualized PON is the Virtual Network Function Manager (VNFM). VNFM is a software implementation that enables the management of all network functions. By using this approach, a virtual network can be created to suit the needs of a variety of different tenants.

Despite the slicing capabilities of a PON, a multi-tenancy approach to enabling network slicing is still in its infancy. The first attempt to enable true multi-tenancy on the control plane of an OpenFlow enabled PON was FlowVisor. However, FlowVisor only partially supported network virtualization.

AutoSlice

Network slicing is an integral part of software-defined networking (SDN) and is used to split traffic across networks. It helps network providers to configure and manage dedicated resources while maintaining robustness of the whole network. With this technology, operators can offer a variety of different services on the same network.

The main goal of network slicing is to provide the flexibility to support a variety of different enterprise business models. This allows operators to differentiate service offerings by offering various types of traffic. As the demand for traffic increases, network performance characteristics must also be optimized for emerging industry applications.

The process of slicing begins with the creation of a network slice template. A template describes the characteristics of a network slice, such as policy, life cycle stages, monitoring, and SLA. Also, it can contain a list of NFV components.

Once the network slice has been defined, the Slice Scheduler interfaces the network operator to control bandwidth resources in TDM manner. In addition, the Slicing Manager determines whether to create a new network slice.

A NSI, or Network Slice Instance, is a virtualized version of an underlying NS. An NSI can be instantiated, scaled, or terminated. An NSI can also be subject to self-healing actions.

Each network slice defines a subset of available resources for a specific application. These slices can be owned by different organizations. By using the Slice Scheduler, an operator can configure, control, and distribute bandwidth slices to different tenants.

Another important function of an NSI is the Slice Life Cycle Manager. This function is responsible for managing the NSI life cycle. For example, it can decide whether a customer facing service should be assigned to a network slice.

When the Slice Scheduler interfaces the network operator, it triggers the instantiation of the underlying NSs. After the NSI is up and running, the Slice Life Cycle Manager can monitor it and use it to determine the performance of a slice.

A 5G network slicing architecture can support speeds up to four Gbps and multiplex independent logical networks. The result is a flexible programmable converged network.

GPON latency

Network slicing is an essential technology for 5G, providing network operators with new business models and service offerings. In addition, it increases operational efficiency and reduces the time-to-market for new services. Its flexibility allows for the deployment of multiple virtual networks on top of a single shared physical infrastructure.

The architecture of network slices is designed to meet the specific requirements of any network application. This helps network providers differentiate their business model and offer tailored quality of service to each use case. A slice represents a subset of the available network resources. However, a slice’s limitations depend on the underlying hardware set up.

In order to minimize the effect of latency on the network, the optimal trade-off point algorithm is employed. It efficiently multiplexes traffic in the network and ensures strict delay bounds for real-time applications. Moreover, the proposed algorithm achieves adequate isolation between users.

Slicing is not new to the telecom industry. It dates back to the early implementation of VLANs. Now, however, the focus has changed. With the advent of 5G, there are increasing pressures for operators to launch pilot projects of network slicing. These networks will be more scalable and can accommodate a larger number of connected devices. They will also support innovative use cases such as Internet of Things (IoT) devices.

One of the key technologies for 5G network slicing is network function virtualization (NFV). NfV is an open, software-defined networking framework that can be deployed to enable multiple virtual networks to run on top of a single, shared physical network. For example, one virtual network operator can trade capacity with another. Ultimately, this will allow the infrastructure provider to utilize resources more efficiently and serve more customers during peak times.

As for the underlying hardware, most systems are based on older GPON standards. However, these can be upgraded to the WDM-PON standard. By converting a traditional TDM PON into a WDM PON, operators can accommodate more endpoints and support higher bandwidth. Also, the WDM-PON is more user-friendly and has a lower amount of fibers required.