scholarly journals LSEA: Software-Defined Networking-Based QoS-Aware Routing Mechanism for Live-Soccer Event Applications in Smart Cities

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yingcheng Zhang ◽  
Gang Zhao
Keyword(s):  
Network Performance ◽  
Smart Cities ◽  
Routing Algorithm ◽  
Software Defined Networking ◽  
Live Streaming ◽  
Streaming Applications ◽  
Delay Jitter ◽  
Building Process ◽  
Routing Mechanism

The smart cities provide a better connection between services and citizens based on new Internet technologies. During the building process of smart cities, some burgeoning applications have been emerging and changing the daily lifestyle of people, e.g., live streaming applications. Especially, the live-soccer event applications have attracted much attention and can improve people’s enjoyment of life to a great extent, such as the Europe five major league matches and FIFA world cup. For such applications, the traditional routing strategies cannot do Quality-of-Service (QoS) awareness, and thus, the network performance and the Quality of Experience (QoE) of users cannot be guaranteed. In this paper, we employ Software-Defined Networking (SDN) to make QoS awareness for the special live-soccer event applications, in which the QoS-aware routing mechanism is proposed, called LSEA. Meanwhile, delay, delay jitter, and packet loss rate are considered as three objects. On this basis, the improved Dijkstra routing algorithm and SDN-based disjoint routing algorithm are devised. Finally, the proposed LSEA is implemented over Mininet, and the experimental results demonstrate its feasibility and efficiency.

scholarly journals PENERAPAN METODE HTB DAN DIFFSERV GUNA PENINGKATAN QOS PADA LAYANAN VIDEO STREAMING

2019 ◽  
Vol 9 (3) ◽  
pp. 35-40
Author(s):  
Mitra Unik ◽  
Soni Soni ◽  
Randra Aguslan Pratama
Keyword(s):  
Quality Of Service ◽  
Video Streaming ◽  
Packet Loss ◽  
Digital Video ◽  
Streaming Media ◽  
Fundamental Problem ◽  
Streaming Video ◽  
Live Streaming ◽  
Delay Jitter

Abstract One of the popular internet services in use today is video streaming, either live (live streaming) or pre-recorder. Streaming video is a type of streaming media where data from video files is continuously transmitted over the internet to remote users. This fundamental problem appears to be influenced by the biggest factor which is the limited infrastructure of network resources which causes poor video quality. The process of digital video communication is known to consume quite a large resource, because in general the bandwidth requirements for sending Video and Audio signals. To maintain the quality of the video being played, there are several instruments needed, one of which is a data connection that is required to have Quality of Service (QoS). The parameters used in the measurement of QoS are delay, jitter, packet loss, throughput. This study uses the PPDIO method as a workflow with a Network Lifecycle approach. In this research, there are many factors that influence the quality of video, namely network factors and hardware factors. The test results obtained are not absolute, so it is possible that there will be differences in subsequent testing. Encoding also affects the quality of the video. Bandwidth equalization according to priority when the traffic conditions of all packets are full. Based on a comparative analysis of QoS parameter calculations using HTB and Diffserv methods, a comparison of throughput, jitter and delay does not differ greatly between clients. Keywords: Video Streaming, Diffserv, HTB, QoS Abstrak Salah satu layanan dari internet yang populer digunakan saat ini adalah video streaming, baik secara langsung (live streaming) atau pre-recorder. Streaming video merupakan jenis streaming media dimana data dari file video secara terus menerus dikirimkan melalui jaringan internet ke pengguna jarak jauh. Permasalahan mendasar ini muncul dipengaruhi oleh faktor terbesar yaitu terbatasnya infrastruktur sumber daya jaringan yang menyebabkan kualitas video yang buruk. Proses  komunikasi  digital  video,  diketahui  menghabiskan  resource  yang  cukup  besar, dikarenakan Secara umum kebutuhan bandwidth untuk mengirimkan sinyal Video dan Audio. Guna menjaga kualitas dari video yang dimainkan, terdapat beberapa instrument yang dibutuhkan, salah satunya adalah koneksi data yang wajib memiliki Quality of Service (QoS). Adapun Parameter yang digunakan dalam pengukuran QoS adalah delay, jitter, packet loss, Throughput. Penelitian ini menggunakan metode PPDIO sebagai alur kerja dengan pendekatan Network Lifecycle. Pada penelitian ini didapat Banyak faktor yang mempengaruhi kualitas dari video yaitu faktor jaringan dan faktor dari Hardware. Hasil pengujian didapat tidaklah mutlak sehingga tidak menutup kemungkinan akan ada perbedaan pada pengujian selanjutnya. Encoding juga mempengaruhi kualitas dari video. pemerataan Bandwidth sesuai prioritasnya saat kondisi traffic seluruh paket penuh. Berdasarkan analisa perbandingan perhitungan parameter QoS menggunakan metode HTB dan Diffserv, didapatkan  perbandingan troughput, jitter dan delay yang tidak berbeda jauh antara klien. Kata kunci: Video streaming, Diffserv, HTB, QoS  

scholarly journals Online QoS Modelling Untuk Cloud Menggunakan Teknologi WSN dan IoT Untuk Monitoring CO2 Secara Real-Time

2019 ◽  
Vol 5 (2) ◽  
pp. 91-96
Author(s):  
Nurul Fahmi ◽  
Rosmida Rosmida ◽  
Eko Prayitono
Keyword(s):  
Real Time ◽  
Environmental Conditions ◽  
Network Performance ◽  
Ieee 802.15.4 ◽  
Smart Cities ◽  
High Reliability ◽  
Qos Management ◽  
Local Database ◽  
Real Hardware

Wireless Sensor Networks (WSNs) is a technology developed to support one of the smart cities whose the aim is to monitor the environmental  conditions  CO2,  especially  regarding  data  collection  to  display  information  on  environmental  conditions continuously. However, the limitations of this application, it should be noted that the network meets the stringent requirements of the service quality, confidence and high reliability. The goal is strongly influenced by several factors such as environmental characteristics,  throughput,  and network topology.  In this paper, we implementation  using real hardware  where Arduino as microcontroller  and for the monitoring environmental  surrounding  we use temperature,  humidity and CO2 sensors. The data from sensor node will be send to server use IEEE 802.15.4 protocol to data collect and it will be saved to database MySQL. By use IoT technology, the data in the local database will be synchronized to the cloud by using internet access, the aim is so that users  can  be  monitor  environment  condition  by  real-time  using  website  or  smartphone.  In  this  context,  we  also  provide information  on  Quality  of  Service  (QoS)  management  to  assist  proficiently  for  monitoring  environmental  conditions  that oversee  network  performance.  The  proposed  solution  proved  to  be  a  very  useful  tool,  to  detect  and  clarify  potentially throughput and packet lost.

scholarly journals Network Performance Criteria for Telecommunication Traffic Types driven by Quality of Experience

2019 ◽  
Vol 15 (3) ◽  
pp. 233-244 ◽  
Author(s):  
Ines Ramadža ◽  
Vesna Pekić ◽  
Julije Ožegović
Keyword(s):  
Network Performance ◽  
Quality Of Experience ◽  
Performance Criteria ◽  
Live Streaming ◽  
Traffic Routing ◽  
Different Types ◽  
Telecom Operator ◽  
The Impact ◽  
The Given

A common reason for changing the chosen service provider is the users' perception of service. Quality of Experience (QoE) describes the end user's perception of service while using it. A frequent cause of QoE degradation is inadequate traffic routing, where, other than throughput, selected routes do not satisfy minimum network requirements for the given service or services. In order to enable QoE-driven routing, per traffic type defined routing criteria are required. Our goal was to obtain those criteria for relevant services of a telecom operator. For the purpose of identifying services of interest, we first provide short results of user traffic analysis within the telecom operator network. Next, our work presents testbed measurements which explore the impact of packet loss and delay on user QoE for video, voice, and management traffic. For video services, we investigated separately multicast delivery, unicast HTTP Live Streaming (HLS), and unicast Real Time Streaming Protocol (RTSP) traffic. Applying a threshold to QoE values, from the measured dependencies we extracted minimum network performance criteria for the investigated different types of traffic. Finally, we provide a comparison with results available in the literature on the topic.

Software-Defined Networking’s Traffic Engineering Benefits the Improvement of Network Performance

2020 ◽  
Vol 17 (1) ◽  
pp. 27-31
Author(s):  
B. Naveen Chandar ◽  
N. Arivazhagan ◽  
K. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Network Performance ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Network Resource

Quality of Service is considered as one of the important specifications in Software Defined Networking and we are focusing on Traffic Engineering which is capable of managing traffic characteristics like bandwidth for improving network performance. In this paper, performance evaluation of Quality of Service parameters such as Packet Delivery Ratio, Packet Delay and Packet Loss are performed with Network simulator 2 for all types of Software Defined Networking topologies. To do such evaluation on these parameters we use Traffic Engineering, which helps on improving the network performance, design mechanisms for routing to manage the traffic in network by improving the network resource usages and other major Quality of Service requisites. So in this proposed methodology, we use point-to-point topology related to traffic calculation which includes network parameters like general calculation of a framework, analyzing the traffic and future indication. Also the work process relevant to traffic management includes bandwidth of the traffic, scheduling of Quality of Service-assurance, saving power and management of traffic in Software Defined Networking. Existing technologies used for the above parameters are discussed below and our insights for future development on traffic engineering between the nodes in Software Defined Networking are offered.

scholarly journals Analysis and Implementation of Gossip-Based P2P Streaming with Distributed Incentive Mechanisms for Peer Cooperation

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Sachin Agarwal ◽  
Jatinder Pal Singh ◽  
Shruti Dube
Keyword(s):  
Asymptotic Properties ◽  
Live Streaming ◽  
Incentive Scheme ◽  
P2p Streaming ◽  
Incentive Mechanisms ◽  
P2p Systems ◽  
Streaming Applications ◽  
File Storage ◽  
P2p System

Peer-to-peer (P2P) systems are becoming a popular means of streaming audio and video content but they are prone to bandwidth starvation if selfish peers do not contribute bandwidth to other peers. We prove that an incentive mechanism can be created for a live streaming P2P protocol while preserving the asymptotic properties of randomized gossip-based streaming. In order to show the utility of our result, we adapt a distributed incentive scheme from P2P file storage literature to the live streaming scenario. We provide simulation results that confirm the ability to achieve a constant download rate (in time, per peer) that is needed for streaming applications on peers. The incentive scheme fairly differentiates peers' download rates according to the amount of useful bandwidth they contribute back to the P2P system, thus creating a powerful quality-of-service incentive for peers to contribute bandwidth to other peers. We propose a functional architecture and protocol format for a gossip-based streaming system with incentive mechanisms, and present evaluation data from a real implementation of a P2P streaming application.

scholarly journals An Opportunistic Routing Mechanism Combined with Long-Term and Short-Term Metrics for WMN

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Weifeng Sun ◽  
Haotian Wang ◽  
Xianglan Piao ◽  
Tie Qiu
Keyword(s):  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Mesh Network ◽  
Routing Metric ◽  
Short Term ◽  
Multihop Network ◽  
Routing Mechanism ◽  
Quality Of Transmission

WMN (wireless mesh network) is a useful wireless multihop network with tremendous research value. The routing strategy decides the performance of network and the quality of transmission. A good routing algorithm will use the whole bandwidth of network and assure the quality of service of traffic. Since the routing metric ETX (expected transmission count) does not assure good quality of wireless links, to improve the routing performance, an opportunistic routing mechanism combined with long-term and short-term metrics for WMN based on OLSR (optimized link state routing) and ETX is proposed in this paper. This mechanism always chooses the highest throughput links to improve the performance of routing over WMN and then reduces the energy consumption of mesh routers. The simulations and analyses show that the opportunistic routing mechanism is better than the mechanism with the metric of ETX.

A Real-Time Network Analysis Tool to Aid in Characterizing VoIP System Performance

2005 ◽  
Vol 42 (2) ◽  
pp. 119-131 ◽  
Author(s):  
Christopher M. White ◽  
Edward J. Daniel ◽  
Keith A. Teague
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Network Performance ◽  
Packet Networks ◽  
Analysis Tool ◽  
Practical Application ◽  
Time Data ◽  
Delay Jitter ◽  
End To End Delay

This paper details the development of an educational and research tool, the Network Performance Application (NPA), which provides real-time network performance measurement through a simulated voice over IP session using live real-time data transmission over packet networks. This application, written in Visual C++ for MS Windows environments, is used to collect Quality of Service (QoS) statistics such as packet loss, end-to-end delay, inter-arrival delay jitter, and out-of-order packet delivery. The paper also demonstrates a practical application using a government standard for VoIP transmissions.

scholarly journals Augmenting Speech Quality Estimation in Software-Defined Networking Using Machine Learning Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3477
Author(s):  
Jan Rozhon ◽  
Filip Rezac ◽  
Jakub Jalowiczor ◽  
Ladislav Behan
Keyword(s):  
Network Performance ◽  
Service Providers ◽  
Software Defined Networking ◽  
Speech Quality ◽  
Machine Learning Algorithms ◽  
Link Quality ◽  
Multimedia Communications ◽  
Speech Communication ◽  
Sdn Controller

With the increased number of Software-Defined Networking (SDN) installations, the data centers of large service providers are becoming more and more agile in terms of network performance efficiency and flexibility. While SDN is an active and obvious trend in a modern data center design, the implications and possibilities it carries for effective and efficient network management are not yet fully explored and utilized. With most of the modern Internet traffic consisting of multimedia services and media-rich content sharing, the quality of multimedia communications is at the center of attention of many companies and research groups. Since SDN-enabled switches have an inherent feature of monitoring the flow statistics in terms of packets and bytes transmitted/lost, these devices can be utilized to monitor the essential statistics of the multimedia communications, allowing the provider to act in case of network failing to deliver the required service quality. The internal packet processing in the SDN switch enables the SDN controller to fetch the statistical information of the particular packet flow using the PacketIn and Multipart messages. This information, if preprocessed properly, can be used to estimate higher layer interpretation of the link quality and thus allowing to relate the provided quality of service (QoS) to the quality of user experience (QoE). This article discusses the experimental setup that can be used to estimate the quality of speech communication based on the information provided by the SDN controller. To achieve higher accuracy of the result, latency characteristics are added based on the exploiting of the dummy packet injection into the packet stream and/or RTCP packet analysis. The results of the experiment show that this innovative approach calculates the statistics of each individual RTP stream, and thus, we obtain a method for dynamic measurement of speech quality, where when quality decreases, it is possible to respond quickly by changing routing at the network level for each individual call. To improve the quality of call measurements, a Convolutional Neural Network (CNN) was also implemented. This model is based on two standard approaches to measuring the speech quality: PESQ and E-model. However, unlike PESQ/POLQA, the CNN-based model can take delay into account, and unlike the E-model, the resulting accuracy is much higher.

scholarly journals High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Si Chen ◽  
Gang Zhao
Keyword(s):  
Video Compression ◽  
High Performance ◽  
Loss Rate ◽  
Smart Cities ◽  
Distributed Storage ◽  
Optimization Method ◽  
Live Streaming ◽  
Sports Events ◽  
Sports Videos

Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server optimization and transmission optimization. Specifically, for the server optimization, this paper devises a distributed storage strategy to avoid producing the internal disk fragments and improve the writing efficiency of sports videos. For the transmission optimization, this paper devises a deep-learning-based video compression strategy to save the storage space of server and accelerate the transmission of sports videos. In addition, this paper makes simulation experiments based on PyCharm. The experimental results show that HPTO has higher storage efficiency, smaller transmission time, and lower packet loss rate than benchmarks, which indicates that the proposed two aspects of optimization strategies (server optimization and transmission optimization) are efficient.

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