Evaluation Study for Delay and Link Utilization with the New-Additive Increase Multiplicative Decrease Congestion Avoidance and Control Algorithm

As the Internet becomes increasingly heterogeneous, the issue of congestion avoidance and control becomes ever more important. And the queue length, end-to-end delays and link utilization is some of the important things in term of congestion avoidance and control mechanisms. In this work we continue to study the performances of the New-AIMD (Additive Increase Multiplicative Decrease) mechanism as one of the core protocols for TCP congestion avoidance and control algorithm, we want to evaluate the effect of using the AIMD algorithm after developing it to find a new approach, as we called it the New-AIMD algorithm to measure the Queue length, delay and bottleneck link utilization, and use the NCTUns simulator to get the results after make the modification for the mechanism. And we will use the Droptail mechanism as the active queue management mechanism (AQM) in the bottleneck router. After implementation of our new approach with different number of flows, we expect the delay will less when we measure the delay dependent on the throughput for all the system, and also we expect to get end-to-end delay less. And we will measure the second type of delay a (queuing delay), as we shown in the figure 1 bellow. Also we will measure the bottleneck link utilization, and we expect to get high utilization for bottleneck link with using this mechanism, and avoid the collisions in the link

An open source approach to serve a large number of computer users using block-level streaming

There are several options for providing a large number of computers to users for their daily tasks. A typical setup may consist of a large number of computers where each relies on an HDD consisting of the required software, sufficient RAM, a capable CPU that meets the software requirements, and a stable network connection. This thesis proposes the use of the open-source AoE protocol to stream an OS to a user computer from a central server. Since the streaming is done from a well-protected central storage, the AoE protocol is less prone to failures compared to the traditional approach based on having a local HDD. Furthermore, AoE being open source, it avoids the need to purchase per seat licenses for streaming. The expected outcome of the proposed design is to create a central system consisting of servers and storage components to serve a large number of end-user diskless clients efficiently

Network Impact Modeling and Analysis: A QoS Perspective

The International Data Corporation (IDC) estimated that total digital data created, replicated, and consumed was 4.4 Zettabytes (ZB) in the year 2013, 8 ZB in 2015, and predicted to reach 40 ZB by 2020. This massive amount of internet traffic put a great overhead on network capacity which may impact network Quality of Service (QoS) such as latency, jitter, throughput, packet loss, and load balancing. From the Internet Service Provider’s (ISP’s) perspective, understanding the possible impact of the future internet traffic on its network is critical for provisioning their network capacity in a cost-effective manner while meeting network QoS requirements. In order to achieve the above goal, one needs a framework that is capable of taking input from the traffic forecast, assign traffic load over the networks, and then identify the impact on the existing traffic QoS status (latency, jitter, packet loss, throughput, etc. In this paper, we developed a network planning framework namely Network Impact Modelling and Analysis (NIMA) that uses novel methods and techniques to predict the congestion level of the network, alerts network planners on the links that are subject to a high-risk group, indicates the impact on network-wide latency, and finally suggests an optimal routing strategy that can improve the overall network health. As part of this optimal routing task, we used Yen’s algorithm which showed performance improvement when compared with Dijkstra’s algorithm and Suurballe’s k-disjoint algorithm. For simulation purposes, we used Mininet in a combination with a floodlight controller for implementation. The experiments are performed on different sized topologies to test the effectiveness of our proposed framework