scholarly journals Quality of Service (QoS) Optimization in Mobile Broadband Using Cloud-Based Content Delivery Network

2020 ◽  
pp. 683-697
Author(s):  
Folasade Ayankoya ◽  
Olubukola Ajayi ◽  
Blaise Ohwo
Keyword(s):  
Quality Of Service ◽  
Network Models ◽  
Content Delivery ◽  
Long Term Evolution ◽  
Content Delivery Network ◽  
Mobile Broadband ◽  
Term Evolution ◽  
Delivery Network

Mobile broadband utilizing Long-Term Evolution (LTE) has advanced the field of data transmission; with networks capable of providing broadband speeds to mobile broadband users. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, but due to the rapid growth and utilization of network links and network services, certain issues begin to rise, such as the issue of poor Quality of Service (QoS) perceived by mobile users. Data network quality of service degrades over time when network cannot keep up with the growing demand for the network resources. The research reviewed various existing content delivery network models in order to understand the overall architecture and operations. An optimized model was developed and integrated into the existing Long-Term Evolution network models. The model was evaluated using the Network Simulator (NS-3) and Quality of Service (QoS) metrics, such as, Network Throughput, Round Trip Time, Bandwidth, Packet Loss, Jitter and Connection Ratio. The results obtained from the simulations showed that the optimized model performed better and more efficiently than previous solutions. And if implemented in Mobile Broadband, this will improve the Quality of Service, network throughput and overall performance of the network. This study concluded that cloud-based content delivery network provides a solution which would help improve the Quality of Service experience by Mobile Broadband subscribers. By actively redirecting network traffic to the nearest replica server on the network edge; thus, increasing efficiency and throughput.

scholarly journals Optimizing and Load Balancing for Flash Crowd to Improve Quality of Service in Content Delivery Network

2019 ◽  
Vol 8 (11) ◽  
pp. 2568-2574
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Content Delivery ◽  
End Users ◽  
Utility Computing ◽  
Content Delivery Network ◽  
Internet Service ◽  
Flash Crowd ◽  
Delivery Network

The online access has been increasing rapidly with the digitization of information, cheaper Internet service and affordable devices to access the Internet. This entails for not only handling increasing number of web requests but also meeting Quality of Service (QoS) requirements of end-users. Content Delivery Network (CDN) system is used to make better the performance of origin server by storing the popular contents on surrogate servers. The contents are disseminated to the web users through surrogate servers. The performance of CDN system relies on the selection of appropriate surrogate server to satisfy end-users’ requests. The proposed method named Load Balancing using Neighbors and Utility Computing (LBNUC) takes into account requests arrival rate, load on surrogate servers, end-users’ changing demand and capacity of surrogate servers. The aim is efficient utilization of CDN resources to minimize the time required to serve end-users requests and the cost of servicing requests. This method is also effective in handling of flash crowd situation by monitoring request rate. It handles this situation with support from neighbor surrogate servers and arranging additional resources, if required, through utility computing to meet QoS requirement of end-users.

scholarly journals Analysis of handover based on the use of femtocells in LTE networks

2015 ◽  
Vol 1 (2) ◽  
pp. 21
Author(s):  
Ketyllen Da Costa Silva ◽  
Carlos P. Alves da Silva ◽  
Andre C. De Sousa Donza ◽  
Carlos Renato Frances ◽  
Nandamudi L. Vijaykumar
Keyword(s):  
Quality Of Service ◽  
Objective Measure ◽  
Long Term Evolution ◽  
Data Rate ◽  
Lte Networks ◽  
Promising Alternative ◽  
Term Evolution ◽  
Handover Mechanism

One of the key elements in the networks LTE (Long Term Evolution) is the possibility of deploying multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlapping coverage of these cells makes the handover mechanism complex and challenging. In this paper, simulations of deploying LTE femtocells in a scenario were evaluated. With this objective, measure impact and correlation of the use of femtocell parameters of QoS (Quality of Service) and handover. Possible limitations of this integration are discussed. Will be the integration of LTE femtocell a panacea? Despite this promising alternative estimates are fraught with uncertainty. The results show that the use of femtocell got worse on indicators of handover, impact on indicators of QoS.

scholarly journals Quality of Service Analysis of Long Term Evolution Network in Frequency Division Duplexing Mode in Semarang City

Teknik ◽  
2020 ◽  
Vol 41 (1) ◽  
pp. 62-71
Author(s):  
Annisa Rossy Rahmatika ◽  
Sukiswo Sukiswo ◽  
Eko Didik Widianto
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Telecommunication Network ◽  
Long Term Evolution ◽  
Length Variation ◽  
Frequency Division ◽  
Term Evolution ◽  
Frequency Division Duplexing

The study aims to analyze the Quality of Service (QoS) of Long Term Evolution Frequency Division Duplexing (LTE FDD) telecommunication network in urban and sub-urban in Semarang city. This study observed the quality of the LTE FDD in terms of network responsiveness or ping, packet loss, delay, and throughput on upload and download from the user's experience based on eNodeB length variation. Quality observations were carried out on the QoS of the LTE FDD telecommunications network in the Semarang using the Axence NetTools and Oakla Speed Test applications during busy hours at each eNodeB. The results were presented based on variations in distance and showed the quality of packet loss and delay classified as very good based on ITU-T G.114, which is respectively less than 3% and 150 milliseconds. Ping testing was classified as good based on the LTE control plane, which is less than 50 milliseconds at each point. Service throughput was between 16.98-19.01 Mbps for uploads and 17.34 - 23.29 Mbps for uploads.

Quality of service analysis of video streaming in fourth generation-Long Term Evolution for telemedicine applications: An experimental learning with game theory approach

2021 ◽  
pp. 002072092098849
Author(s):  
Panjavarnam B ◽  
Bhuvaneswari PTV
Keyword(s):  
Game Theory ◽  
Quality Of Service ◽  
Real Time ◽  
Long Term Evolution ◽  
Fourth Generation ◽  
Theory Approach ◽  
Teaching Pedagogy ◽  
Term Evolution

Wireless technologies have become the model for Entertainment, Communication and Education all over the world. Electrical and Electronics Engineering Departments of various Universities across the globe offer courses on Wireless Communication and Networks for Undergraduate and Postgraduate students by focusing on the latest teaching pedagogy. Recent advancements in health care services demand reliable transmission of medical images and videos for better diagnosis and treatment. The effective utilization of available spectrum is one of the requirements for stable transmission of medical information. A Long Term Evolution (LTE) system model for a real-time multimedia application must provide high Quality of Service (QoS). Scheduling and allocating resources for real-time downlink flows in LTE networks is a challenging issue, as the network excellence and assured output have to be confirmed together with decreasing the Head of Line (HOL) suspension. The ever increasing demand for higher data rates in uplink and downlink transmission services constraints on delay and bandwidth requirements. This leads the existing fourth generation LTE wireless networks to concentrate more on the resource scheduling techniques with acceptable levels of Quality of Service (QoS). In this paper, a Game theory based scheduling (GTBS) and resource allocation Algorithm multimedia traffic in LTE network is designed and studied. The Algorithm is simulated in LTE-sim for real time (RT) and Non-real time (NRT) data traffic. The work identified a new teaching pedagogy, the work is explained to the undergraduate Engineering students so that they can apply the knowledge to develop new innovative projects.

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