QoS Control Research Articles

QoS Control Under Perfect and Imperfect CSI in Intelligent Reflecting Surface-Assisted Multi-Cast Multi-Group Communication Systems

QoS Control Under Perfect and Imperfect CSI in Intelligent Reflecting Surface-Assisted Multi-Cast Multi-Group Communication Systems

Enhancing QoS of Telecom Networks through Server Load Management in Software-Defined Networking (SDN)

In the modern era, with the emergence of the Internet of Things (IoT), big data applications, cloud computing, and the ever-increasing demand for high-speed internet with the aid of upgraded telecom network resources, users now require virtualization of the network for smart handling of modern-day challenges to obtain better services (in terms of security, reliability, scalability, etc.). These requirements can be fulfilled by using software-defined networking (SDN). This research article emphasizes one of the major aspects of the practical implementation of SDN to enhance the QoS of a virtual network through the load management of network servers. In an SDN-based network, several servers are available to fulfill users’ hypertext transfer protocol (HTTP) requests to ensure dynamic routing under the influence of the SDN controller. However, if the number of requests is directed to a specific server, the controller is bound to follow the user-programmed instructions, and the load on that server is increased, which results in (a) an increase in end-to-end user delay, (b) a decrease in the data transfer rate, and (c) a decrease in the available bandwidth of the targeted server. All of the above-mentioned factors will result in the degradation of network QoS. With the implementation of the proposed algorithm, dynamic active sensing server load management (DASLM), on the SDN controller, the load on the server is shared based on QoS control parameters (throughput, response time, round trip time, etc.). The overall delay is reduced, and the bandwidth utilization along with throughput is also increased.

An Economy-Oriented GPU Virtualization With Dynamic and Adaptive Oversubscription

GPU is becoming attractive around multiple academic and industrial area because of its massively parallel computing ability. However, there are still some obstacles which the GPU virtualization technologies should overcome to reach their maturity. These obstacles mainly include the problem of resource allocation strategy to guarantee possible higher yield. This shortage has already become an obvious barrier to the practical GPU usage in the cloud for satisfying business and academical requirements. There are many mature pieces of research in the area of oversubscribed cloud computing to enhance economic efficiency. However, the study on GPU oversubscription is almost blank for the just started use of GPU in cloud computing. This paper introduces gOver, an economy-oriented GPU resource oversubscription system based on the GPU virtualization platform. gOver is able to share and modulate GPU resource among workloads in an adaptive and dynamic manner, guaranteeing the QoS level at the same time. We evaluate the proposed gOver strategy with designed experiments with specific workload characteristics. The experimental results show that our dynamic GPU oversubscription solution improves the economic efficiency by 20% over traditional GPU sharing strategy, and outperforms the static oversubscription method by much better stability in QoS control.

A Survey on SDN and SDCN Traffic Measurement: Existing Approaches and Research Challenges

The Software-Defined Network (SDN) is a next-generation network that uses OpenFlow to decouple the control plane from the data plane of forwarding devices. Other protocols for southbound interfaces include ForCES and POF. However, some security issues might be in action on the SDN, so that attackers can take control of the SDN control plane. Since live video calling, QoS control, high bandwidth needs, and resource management are inevitable in any SDN/Software-Defined Cellular Network (SDCN), traffic monitoring is an integral approach for safeguarding against DDoS, heavy hitters, and superspreaders. In such a scenario, SDN traffic measurement comes into action. Thus, we survey SDN traffic measurement solutions to assess how these solutions can make a secure, efficient, and robust SDN/SDCN architecture. This research classifies SDN traffic measurement solutions according to network application behavior and compares several ML approaches. Furthermore, we find out the challenges related to SDN/SDCN traffic measurement and the future scope of research, which will guide the design and development of more advanced traffic measurement solutions for a scalable, heterogeneous, hierarchical, and widely deployed SDN/SDCN architecture. In more detail, we list different kinds of practical machine learning (ML) approaches to analyze how we can improve traffic measurement performances. We conclude that using ML in SDN traffic measurement solutions will help secure SDNs/SDCNs in complementary ways.

Innovation and QoS Performance Evaluation Analysis of Real-Time Sharing Platform of Intelligent Courses in Colleges

With the gradual rise of online MOOC teaching platforms, real-time sharing algorithms and QoS performance evaluation systems for online intelligent courses in colleges and universities are becoming more and more important. First of all, introduce the intelligent cloud teaching method with cloud classroom app tools as the core application, and use the smart campus platform to "fancy teaching" classrooms, MOOCs, live broadcasts and other popular forms such as animations, micro-videos, WeChat and other popular forms and language communication management. Knowledge and principles, followed by autonomous and intelligent methods used in implementing QoS decision-making and control in a cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization rate of network resources and ensure the end-to-end QoS of the network. The results show that: NET, XML and other key technologies, on this basis, the intelligent teaching platform solution of NET, the framework and overall design of the teaching platform are introduced.

Empirical Analysis of Remote Monitoring for the Development of Jinxiu Yao Cultural Tourism Resources Based on Real-Time Unmanned Sensor Image Technology

In the process of classroom teaching, the intelligent cloud teaching method with the blue ink cloud class app tool as the core application is introduced, and the smart campus platform is used to "fancy teaching" in the form of animation, micro-video, micro-class, MOOC, live broadcast, etc. The popular form and language convey the relevant knowledge and principles of management, mainly refers to the autonomous and intelligent methods adopted when implementing QoS decision-making and control in the cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization of network resources and ensure the end-to-end QoS of the network. And emphatically introduced the ADO involved in the system development process. NET, XML and other key technologies, on this basis, the paper introduces the NET's intelligent teaching platform solution, the framework and overall design of the teaching platform.

Analysis of wireless English multimedia communication based on spatial state model equation

Abstract In order to improve the quality of wireless English multimedia communication, according to the characteristics of space multimedia communication environment and communication equipment, this paper proposes a wireless English synchronous QoS control algorithm with low complexity and easy implementation. Using RTCPSRRTP timestamp and NTP absolute timestamp, the wireless English RTP timestamp is mapped to the same absolute reference clock (sender system time) respectively, and the wireless English synchronization detection decision rule is established according to the synchronization QoS performance requirements between wireless English media. Wireless English synchronization control system model at the receiver. At the receiving end, the wireless English stream is the main media stream and the video stream is the slave media stream. The synchronization detection and judgment is implemented in real time before the video frame is played. The synchronization between audio and video media is realized by corresponding synchronization control of wireless English playback. State space model reflects all the information of system dynamic behavior and is a complete description of system behavior. The state space model has a wide range of applications. It is not only suitable for SISO linear constant systems, but also suitable for nonlinear systems, time-varying systems, MIMO systems and stochastic systems. The more outstanding advantage is that the state space model adopts local calculation and uses the state variables inside the system to describe its dynamic characteristics. This property of local calculation not only greatly simplifies the mathematical expression of multi-dimensional system, but also facilitates the analysis and research of the system. The air link rate of the wireless transceiver is set to 512Kbps. The video is encoded based on H.264 and the audio is encoded based on G.729 Speech coding standard. Compared with the wireless English media synchronization control algorithm based on RTP / RTCP, the results show that the RMSE value after adopting the synchronization algorithm in this paper is reduced by 60.09% and 77.69% at most; Compared with the wireless English media synchronization control algorithm based on RTP / RTCP, the synchronization performance of this algorithm is better than the wireless English media synchronization control algorithm. The RMSE value is reduced by 2% on average and 5.2% at most. In addition, the synchronization control algorithm between wireless English media performs synchronization control by losing frames or pausing decoding before video decoding at the receiver, which affects the quality of wireless English video decoding and reconstruction.

A feasibility study of using Manufacturing Message Specification report gateway model for IEC61850 inter-substation type-1 messaging over Wide Area Network

This paper presents a feasibility study of using TCP-based MMS report gateway model for transmitting type-1 messages over WAN. In IEC61850-90-5:2012, the Standard suggests to use UDP-based R-GOOSE for exchanging the type-1 messages, i.e. trip signals and other fast messages defined in the Standard, over WAN. However, due to the cyclic retransmission inherited from GOOSE, R-GOOSE messages are repeatedly sent to the network and thus pose unnecessary traffic to the WAN. With the proposed model, unnecessary re-transmissions can be eliminated. It can preserve bandwidth for more IEDs being imposed on the existing smart grid. To achieve this task, two IEC61850-based gateways for translating GOOSE Messages to and from the MMS report over WAN have been modeled and implemented. The authors then make use of an HLA-complied co-simulation platform to simulate a distance protection scenario through the gateways to investigate the communication latency with different links speed and utilization rate of WAN. Simulated results show that the proposed MMS report gateway model works well for different WAN link speed from DS3 to 1000BaseX. Simulation results further indicate that introducing QoS control to the WAN routers is an effective method to warrant the latency for satisfying the IEC61850 standard requirement. The result from this feasibility study reveals that the TCP-based MMS report gateway model indeed can be used as an extended feature for transmitting type-1 messages between substations over WAN. Furthermore, this method is suitable for connecting more IEC61850-based DER to the existing smart grid involving WAN.

Development of ROS2-TMS: new software platform for informationally structured environment

This study proposes a new software platform, called ROS2-TMS, for an informationally structured environment. An informationally structured environment is vital for developing intelligent service robots by embedding various sensors in the environment to enhance the sensing capability and intelligence of robots. Thus far, we have been developing a software platform, named ROS-TMS, for an informationally structured environment, which connects various sensors and robots using ROS architecture. In recent years, ROS2, a next-generation version of ROS, has been released. ROS2 has many advantages, such as enhanced security, QoS control, and support for various platforms. ROS2-TMS, a new version of ROS-TMS, is developed not only by porting existing modules in ROS-TMS, such as the control system for a communication robot, but also by adding useful functions utilizing new features in ROS2. For instance, we added a voice user interface to control robots and various devices in the environment, such as lights or a bed. In addition, we implemented a new task scheduler that provides a cancelation function to stop running tasks and improve the security of the platform.

Differences Between Major Depression Disorder and Controls in the Recognition of Facial Expression: Evidence From Event-Related α Oscillations

Traditional routing in the Internet is best-effort which makes it challenging for video streaming since no throughput, jitter, delay or loss rate is guaranteed. As different paths have different characteristics, path differentiation such as multipath routing is a promising technique to be used for meeting QoS requirements of media-intensive applications. Using overlay networks different paths are offered which enable more flexibility in QoS and congestion control while the reliability of the connections is enhanced.Software Defined Networking (SDN) is known to be a promising solution to the problems of routing as it provides fine-grained control over packet handling. Relying on SDN, we propose an adaptive multipath provisioning scheme ensuring maximal bandwidth and resiliency of media transfer in overlay networks. The scheme is a time slot-based approach which dynamically finds multipaths. It relies on both active probing and traffic prediction.The experimental results confirm that a more accurate prediction together with more frequent probing lead to fewer number of path re-calculation and also indicate that the proposed scheme enhances the reliability of connections while a more balanced load is achieved in the network compared to the shortest path-based scheme.

SDN based QoS Control Methods with the Classifications of IoT Data Transmissions for Disaster Information Systems

With the recent IoT (Internet of Things) technology developments, new functions are expected tothe future DIS (Disaster Information System) with IoT devices. However, it is considered that theincreased IoT data would cause congestions for Internet services, and it is necessary to consider theQoS (Quality of Service) controls for the system. Therefore, this paper proposes the QoS controlmethods using the SDN (Software Defined Network) by the classifications of IoT data transmissions.In detail, first of all, the routing functions with the Extend Dijkstra’s algorithm is introduced. In therouting, IoT data is classified into four categories, and the proper route is selected by the Dijkstra’salgorithm with the QoS priority values of the classifications. Also, the switching functions are introducedto avoid network congestion in the selected route. In the switching, if the IoT traffic loadreaches more than 80 percent of the maximum throughput of the selected route, the IoT data is distributedby the additional route. The paper then reports the implementations of the prototype systemby using the SDN, and the experiments show the effectiveness of the proposed methods.

QoS for best‐effort batch jobs in container‐based cloud

SummaryThe resource orchestrators in the cloud provide different QoS classes. Existing studies have mainly focused on resource guarantee for high‐priority class jobs, but yet to consider delicate QoS control of low‐priority jobs in the cloud. In this paper, we propose the differentiated shares that provide weighted CPU scheduling for low‐priority batch jobs in container‐based cloud. To implement the differentiated shares, we extend resource reservation interfaces provided by Kubernetes and suggest an algorithm that maps the resource management attributes of Kubernetes into those of Linux. The proposed differentiated shares can avoid worsening interference with high‐priority containers by exploiting the hierarchical resource sharing of task groups in Linux. In addition, we suggest a node scoring policy to provide efficient inter‐node job scheduling with the consideration of the differentiated shares. The performance measurement results show that the differentiated shares can provide weighted CPU scheduling for best‐effort batch containers without interference with high‐priority containers (less than 3% with respect to application‐level performance).

Perceptual service-level QoE and network-level QoS control model for mobile video transmission

The cumulative effects of network transmission link imperfections and real-time limitations of video data result in multiple challenges for mobile video transmission. The challenges, together with the increasing expectations of users for well-displayed videos, further extend the complexity particularly in dense areas. To address the issues and provide efficient mobile video transmission, this work proposes a model with two phases: network-related settings (NRS) and video-related settings (VRS). The NRS is related to the mobile transmission link limits and develops four separate mobile networks, including long term evolution, 802.11 ax dual-band, and 802.11 ac. The VRS, on the other hand, is related to the video real-time constraints and covers five well-known compression algorithms used in the reference video preparation process. With comprehensibility in mind, the model comprises different factors that have a profound impact on the mobile video transmission process. The model is implemented and the results determine the video delivery efficiency in terms of the network-level quality of service and service-level quality of experience. To further validate the model, a testbed is set up and the measured experimental results are compared with those of the simulation. The results establish a baseline for efficient mobile video transmission on resource constraint devices.

Effect of QoS Control in Remote Master-Slave Robot Systems with Force Feedback

Effect of QoS Control in Remote Master-Slave Robot Systems with Force Feedback

User-Assisted QoS Control for QoE Enhancement in Audiovisual and Haptic Interactive IP Communications

User-Assisted QoS Control for QoE Enhancement in Audiovisual and Haptic Interactive IP Communications

360 VR 비디오 스트리밍 서비스의 QoS 제어를 위한 MANE Cloud 시스템의 설계 및 구현

360 VR 비디오 스트리밍 서비스의 QoS 제어를 위한 MANE Cloud 시스템의 설계 및 구현

QoS-Aware Multicast for Scalable Video Streaming in Software-Defined Networks

Scalable Video Coding (SVC) is a promising coding technique that enables flexible video transmission to support heterogeneous devices. However, the current best-effort delivery model characterized by the Internet cannot fully exploit the scalability feature of SVC because the network nodes are transparent for multimedia streaming applications. Software-defined networking (SDN) has emerged as an innovative network paradigm that decouples the control and forwarding planes while routing. This architecture with the OpenFlow protocol enables network operators to obtain per-flow QoS control in a more scalable, flexible, and finely granular manner compared to the conventional network architecture. Inspired by these facts, this paper designs a comprehensive QoS-aware multicast scheme for scalable video streaming over SDN networks. First, we present the designed multimedia streaming multicast system architecture and formulate the QoS-aware multicast routing problem as a non-linear programming model. We then propose a fundamental tree construction algorithm that decomposes the video streaming requests into subrequests and serves them in a bottom-up manner. Furthermore, we design a layer switching strategy based on the video distortion model to mitigate network-induced video quality distortion. Finally, the experimental results are presented to validate the performance of our methods in terms of scalability, network utility, video playout quality, and playback interruption ratio.

Assessment of TCP Multi-Pathization Method on IoT Devices by SDN based on WebQoE

This paper assesses QoE for a Web service (WebQoE) for the TCP multi-pathization method by SDN by experiments with subjects. The multi-pathization method is one of the QoS controls for IoT networks; it can multi-pathize a TCP connection without any changes of terminals or protocols. The previous work of the authors has evaluated QoS of Web services but has not assessed QoE. This paper assesses QoE of an online map service for the multi-pathization method by experiments with subjects. In the experiment, the authors treat various environments which differs in the amount of load traffic. The obtained results show that WebQoE for the multi-pathization method is always higher than that without the method. Consequently, the paper confirms that the multi-pathization is effective from point of users’ view.

Performance Evaluation on the QoS Control System for Streaming Delivery in Wireless LAN

Performance Evaluation on the QoS Control System for Streaming Delivery in Wireless LAN

Performing Analysis of Quality of Service Parameters of 4G Long Term Evolution in Health Care System

Long Term Evolution (LTE) is a leading 4G wireless broadband technology developed by the Third Generation Partnership Project (3GPP) Release 8. LTE is expected to provide very fast, highly responsive and cost effective data services and appears itself to be the right technology at the right time. LTE is becoming an ultimate choice for 4G services around the world due to its higher data rates and lower latency objectives. E-Health services comprise a wide range of healthcare services delivered by utilizing information and communication technology. In order to help existing and emerging e-Health services over converged next generation network (NGN) architectures, there is a need for network QoS control mechanisms that meet the often stringent requirements of such services. The mobile Health (m-health) is currently uniting major academic research worldwide to achieve innovative arrangements in the areas of healthcare. However, there are several challenges and issues that need to be addressed. In this paper we have proposed m-health care system based on 4G LTE network communication instead of existing 3G communication system. We will be monitoring QoS parameters like Delay, Throughput, Jitter, Energy Efficiency and Packet Data Rate for comparing 3G and 4G LTE usage over health care applications. We will further experiment the parameters with graph based analysis.