Evaluation of Random Early Detection and Adaptive Random Early Detection in Benchmark Scenarios

In this paper, we evaluate Random Early Detection (RED) and Adaptive RED (ARED) in Benchmark Scenarios as detailed in RFC 7928. RED is one of the early proposed AQM mechanisms, which attains high throughput and keeps average delay low. Moreover, ARED is an extension to RED which eliminates the parameter sensitivity to improve the performance of RED. The results indicate that RED outperforms ARED in scenarios with abrupt changes in traffic load. ARED is known to reduce the packet drops and therefore, in rest of the scenarios it can be observed that ARED outperforms RED

Performance Evaluation of Bluetooth Low Energy Communication

Bluetooth Low Energy (BLE), also known as Bluetooth Smart is the new power efficient version of Bluetooth. With the massive increase in the use of IoT devices, their compatibility and suitability for use with BLE, it has become an important protocol for communication. The performance of the protocol in terms of throughput, however, remains untested. Several parameters like connection interval, packet size per connection interval, data length extension and others constitute the implementation of the BLE protocol on a device. These parameters directly or indirectly effect the throughput of devices communicating over BLE. In this paper, we evaluated BLE performance by performing experiments to calculate throughput with varying values of connection interval and MTU size of application payload. We provide experimental values of throughput and compare it with the theoretically expected results and discuss the pattern and aberration found

Performance Evaluation of HTTP/2 over TLS+TCP and HTTP/2 over QUIC in a Mobile Network

With the development of technology and the increasing requirement for Internet speed, the web page load time is becoming more and more important in the current society. However, with the increasing scale of data transfer volume, it is hard for the current bandwidth used on the Internet to catch the ideal standard. In OSI protocol stack, the transport layer and application layer provide the ability to determine the package transfer time. The web page load time is determined by the header of the package when the package is launched into the application layer. To improve the performance of the web page by reducing web page load time, HTTP/2 and QUIC has been designed in the industry. We have shown experimentally, that when compared with HTTP/2, QUIC results in lower response time and better network traffic efficiency

Wireless Indoor Resource Optimisation meeting Prescribed UserCapacity Requirements

The optimal locations of transmitters in a building, that best meet the bandwidth requirements of all users, was studied in the past by a small number of authors. They used empirical path loss models to constrain an optimization cost function. This paper concentrates on using a signal-to-interference ratio cost function with realistic field parameters obtained using a fast ray-tracing algorithm. The solution obtained is shown to perform well in realistic scenarios, meeting a large proportion of user bandwidth requirements. However, it does not perform well in an oversaturated environment

IEEE Conference on Electromagnetic Field Computation

The purpose of this work is to produce a method that calculates the best locations of a multiple transmitters in an indoor environment whilst meeting the required user capacity. The method uses a non-standard building discretisation and a signal-to-interference ratio with quasi-convex space optimisation to produce the best positioning of transmitters

The Impact of Controller Placement in an Open Flow Wide Area Network

The aim of this paper is to evaluate how the number and the position of controllers in an OpenFlow-enabled Wide Area Network would affect the time to completion of the flows. The experimental setting consisted of 12 switches with 3 hosts each and the number of controllers were varied from 0 to 12. 3 sets of hosts were considered for the experiment which consisted of 10 iterations between the same set of hosts to decrease the probability of individual error. Based on the experiment conducted, we found that increasing the number of controllers does not necessarily mean that the performance of the network will improve. For example, we found that when there was no controller, the mean time to completion of the flow was 5.1773 seconds. Whereas, when each switch was connected to a separate controller, the mean time increased to 7.2815 seconds for the same set of restrictions. It was also observed that the network performed well in some of the multiple controller placement scenarios and this is explained in more detail in the Results Section.Software Defined Networking decouples network architecture from infrastructure to achieve better flexibility, and it can be implemented using the OpenFlow protocol [1] among other approaches. Many experiments have been conducted using this protocol and some of them are reviewed in this paper