phd networking projects omnet++

Named Data Networking (NDN) as a promising future network architecture has been attracted a lot of attention. In NDN, to keep fairness between flows and avoid congestion, one of the most important issues is the traffic control. Although some works have been done to solve the traffic control problem by controlling the sending/forwarding of Interest, to the best of our knowledge, the cooperation between traffic control and forwarding strategy is largely ignored.

Therefore, to fill this gap, we propose an effective traffic control mechanism named Multi-path Flow Control(MFC) in this paper. Our proposal is the first to combine traffic control with multi-path forwarding strategy. In contrast with other traffic control mechanisms, MFC performs better in supplying different flows with fair service rates, enhancingnetwork throughput and avoiding “Waiting Interest”, which is a unique problem in NDN. Finally, numerical simulation results based on ndnSIM platform are illustrated to show the performance of the proposed scheme.

In recent years, the prevalence of network devices such as smartphones, smart appliances, and various sensors has increased. As a result, interest in and demand for home networks has steadily increased. So, auto-configuration problems in home networks are very important and must be addressed, because some household members will not be familiar with the Information Technology (IT) devices and thus find it difficult to use home networks. Many studies have been undertaken in a variety research fields and standards for the home network auto-configuration problem. However, the conventional research and standards have a significant problem in that each home device requires middleware to be installed and must follow a standard configuration for home gateways.

In this paper, we propose a new method for the auto-configuration of home networks in home cloud environments using the Software Defined Networking (SDN) controller. The SDN controller has two key roles for home network auto-configuration: auto-recognition and registration of home devices, and management of home devices according to the home network connection state. It allows the home network to be automatically configured without middleware and home gateways, which are required in the existing standards. In addition, home networks can be configured to utilize SDNs that satisfy the variousnetwork requirements and functions required by each of the home services. The experimental results verify the home network auto-configuration, the usability of the proposed method, and the SDN use case satisfy the requirements of each home service.

Vehicular Adhoc Networks (VANETs) have been attracted a lot of research recent years. Although VANETs are deployed in reality offering several services, the current architecture has been facing many difficulties in deployment and management because of poor connectivity, less scalability, less flexibility and less intelligence. We propose a new VANET architecture called FSDN which combines two emergent computing and network paradigm Software Defined Networking (SDN) and Fog Computing as a prospective solution. SDN-based architecture provides flexibility, scalability, programmability and global knowledge while Fog Computing offers delay-sensitive and location-awareness services which could be satisfy the demands of future VANETs scenarios.

We figure out all the SDN-based VANET components as well as their functionality in the system. We also consider the system basic operations in which Fog Computing are leveraged to support surveillance services by taking into account resource manager and Fog orchestration models. The proposed architecture could resolve the main challenges in VANETs by augmenting Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Base Station communications and SDN centralized control while optimizing resources utility and reducing latency by integrating Fog Computing. Two use-cases for non-safety service (data streaming) and safety service (Lane-change assistance) are also presented to illustrate the benefits of our proposed architecture.

Software defined networking[1][9] has brought a rapid change in networking industry by providing programmability and abstraction. it also enables centralization of control in infrastructure. In this paper, we describe the results of our experiment to determine the performance of SDN by simulating Open vSwitch under conditions of congestion. We did experiments on MININET by creating four compute nodes and observing their behaviour under congestion. The connections were made by using open vSwitch (OVS).

We generated a lot of traffic between VMs using iperf[5] and determined at what level of traffic Open vSwitch[7] saturates leading to a drastic drop in throughput. We found that packet loss and throughput reduction can be observed when we increase number of parallel connection between nodes. Moreover the change is always sudden and drastic when it reaches the threshold value. Several experiments were performed to analyze the throughput variations caused due to traffic increase and the reason behind those variations.

Named Data Networking (NDN) is a novel transmission framework in future Internet. It is a content-centric network. The content is routed based on its unique name, not IP address in NDN. A NDN node broadcasts an interest packet with the requesting named content to NDN. A NDN node has the requested named content. It will encapsulate requested content into data packets and deliver them back to the requesting NDN node. If intermediate nodes are located on the routing path of requesting/replying named content.

They will also cache the named content for serving the next same requesting from different NDN nodes. However, multimedia content usually are used the streaming fashion to deliver over the Internet. It is an important issue to design a proper caching mechanism of named multimedia to satisfy the features of multimedia streaming. In this paper, we proposed a partial caching mechanism to temporally cache the named streaming content on the intermediate nodes in NDN. It can provide a better streaming service than the originated caching mechanism in NDN.