Quality Of Service Strategies Research Articles

A Survey on In-Vehicle Time-Sensitive Networking

With the continued evolution of autonomous driving, the communication demand for in-vehicle networks has dramatically increased, and the traditional in-vehicle network solutions have become ineligible for the needs of new in-vehicle applications. Time-Sensitive Network(TSN) with the characteristics of determinism, low latency, high reliability, large bandwidth, and open industry standards, has been considered as the most promising technology for the next-generation in-vehicle networks(IVN). This paper summarizes the current state and methodologies of in-vehicle TSN research through the following five aspects: QoS(Quality of Service) strategy, reliability, clock synchronization, network planning, and network management. The corresponding research priorities and technical challenges are also addressed respectively.

HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms

Healthcare 4.0 is a new concept that originates from the evolution of hospitals due to technological advances in medical activities. Nowadays, more and more doctors and healthcare administrators require real-time data analysis obtained from sensors and surgery monitoring. Using real-time information could make the difference between death and life in such settings. Therefore, Quality of Service (QoS) is essential in this context because, without it, the results of the applications become unreliable. Given the background, this article proposes HealthStack, a sensor middleware model for operating room facilities. HealthStack aims at improving delay and jitter from applications and, at the same time, reducing resource consumption. Our scientific contributions are twofold: 1) a middleware for operating rooms with automatic QoS support for real-time data transmission and 2) a QoS strategy based on artificial neurons to select middleware components with critical performance. We developed a prototype that uses depth cameras and ultrawideband (UWB) real-time location systems (RTLSs) to monitor workflow during surgery. The evaluation demonstrates that the strategy improves the average jitter experienced by application by 92.3%. The results also reveal a reduction of network and CPU consumption by up to 61.8% and 8.3%.

DDS‐based protocol‐compatible communication platform for mining power system

Currently, mine protectors have different communication protocols, which make them difficult to communicate with each other due to their heterogeneity. In order to solve the problem, this study proposes a structure based on data distribution service (DDS) between substation and different mine protectors, which unifies the different protocols for devices to DDS protocol. A DDS platform is built to transmit electrical parameters between devices using different protocols with appropriate quality of service strategies. The communication between IEC 60870-103 protocol and Modbus protocol is carried out on laptop and Raspberry Pi. The proposed DDS platform implements its normal communication between different protocols and the latency can meet the requirement of mine protectors. The experimental results verify that DDS can reduce the heterogeneity of mining power system.

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

Wireless multimedia sensor networks (WMSNs) have got capacity to collect both scalar sensor data and multidimensional sensor data. It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. In this paper, we review a number of QoS strategies for WMSNs and wireless sensor networks (WSNs) in the IoT context from the perspective of the MAC and application layers as well as the cross-layer paradigm. Considering the MAC layer, since it is responsible for regulating the admittance to the shared medium and transmission reliability and efficiency through error correction in wireless transmissions, and for performance of framing, addressing, and flow control, the MAC protocol design greatly affects energy efficiency. We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. Cross-layer QoS strategies are very vital when it comes to system optimization. Many cross-layer strategies have been reviewed. For these QoS strategies, the challenges and opportunities are reviewed at each of the layers considered. Lastly, the future research directions for QoS strategies are discussed for research and application before concluding this paper.

Playing Games with Genetic Algorithms: Application on Price-QoS Competition in Telecommunications Market

The customers use the best compromise criterion between price and quality of service (QoS) to select or change their Service Provider (SP). The SPs share the same market and are competing to attract more customers to gain more profit. Due to the divergence of SPs interests, we believe that this situation is a non-cooperative game of price and QoS. The game converges to an equilibrium position known Nash Equilibrium (NE). In this work, we formulate a game theoretic framework for the dynamical behaviors of SPs. We use Genetic Algorithms (GAs) to find the price and QoS strategies that maximize the profit for each SP and illustrate the corresponding strategy in NE. In order to quantify how this NE point is performant, we perform a detailed analysis of the price of anarchy induced by the NE solution. Finally, we provide an extensive numerical study to point out the importance of considering price and QoS as a joint decision parameter. Keywords—Pricing, QoS, Market share game, Genetic algorithms, Nash equilibrium, Learning, Price of anarchy.

Power Allocation Algorithm Based on QoS Strategy in Power-Line Communication

In order to maximize low power-line channel capacity within the limited transmission bandwidth, a new transmitting power allocation algorithm based on the quality of service (QoS) strategy is proposed in this paper.Orthogonal frequency-division multiplexing (OFDM) is considered to support remarkable capacity of power-line channel. In order to derive the closed form expression of the maximum channel capacity in an OFDM power communication system, the relationship between channel capacity, signal to noise ratio (SNR) and modulation scheme is analyzed.Furthermore, some influence factors of power-line channel capacity, such as branches number, branches length and end-load impendence are analyzed in this paper. Simulation result shows that the mainly factors that affect the channel capacity of low power-line are branch number and load impendence; the performance of proposed algorithm is superior to the existed water-filling algorithms at the same SNR.

A preamble-based approach for providing quality of service support in wireless sensor networks

Medium Access Control (MAC) protocols for Wireless Sensor Networks (WSN) are usually designed as random access protocols that apply different kinds of backoff strategies since Time Division Multiple Access (TDMA) based protocols with admission control are very complex and require additional mechanisms for synchronization. Without such mechanisms, fair or priority based medium access with Quality of Service (QoS) guarantees can hardly be achieved by existing protocols. Therefore, we developed a random access protocol which uses a new preamble-based medium access strategy that enables collision-free priority based access without the need of synchronization. In this paper we introduce different QoS strategies and their use cases. All strategies can be easily integrated in our protocol to meet the requirements of different target applications. Furthermore, we compare the performance of the strategies with a typical carrier-sense based protocol.

Providing QoS strategies and cloud‐integration to web servers by means of aspects

SummaryThe main responsibilities of a web server are to listen from the communication channel and to prepare replies to requests. Additional responsibilities include adapting processing activities, for example, through scheduling or request filtering, so as to satisfy Quality of Service (QoS) requirements. Typical QoS‐related concerns address behavioural constraints (e.g. response time bounds, satisfiable by scheduling the most urgent requests first) and resource monitoring, for optimal use. Although such concerns are spread across several web server components, they should be handled separately from communication‐related ones, for the sake of modularity.For this purpose, we advocate recourse to aspect‐oriented programming and illustrate it by showing how a QoS‐related layer can be smoothly superimposed on top of a well‐known, unmodified, web server Jigsaw. As part of the provided support, requests are assessed and partitioned into those that can be appropriately handled by using local resources and those needing further resources. For the latter requests, cloud‐based resources are gathered. Aspect‐orientation enables new QoS‐related code to be separated from web server modules so as to keep existing code unaltered, while runtime behaviour is modified with the measures needed to handle QoS concerns. Copyright © 2013 John Wiley & Sons, Ltd.

Applying a revised SQPM in the Define Step of Six Sigma and a case study

The primary purpose of this paper is to construct a revised service quality performance matrix (SQPM) approach as an effective and objective tool in the Define Step of Six Sigma projects. This approach can then overcome the shortcomings of the SQPM proposed by Hung, Huang, and Chen [(2003). Service quality evaluation by service quality performance matrix. Total Quality Management, 14(1), 79–89] such as time-consuming questionnaire items, and the percentage scale and self-stated attribute importance. Other general purposes of this paper are to establish the implementation process of the revised SQPM approach, apply this approach and process in the Define Step of Six Sigma projects (Define, Measure, Analyse, Improve and Control framework), and a case study with regard to a campus restaurant which is ultimately presented to demonstrate the application of the above methodology in practice. The approach and process are simple, effective and objective for identifying critical-to-quality service dimensions (or attributes) and their improvement priority. Additionally, they can enhance the operator's decision-making quality of service strategies.

Design and implementation of an adaptive Web2.0 QoS‐based home appliance control service platform

SUMMARYThe rapid progress of information techniques enables people to have a relatively convenient environment and life. This study designs and develops the Web2.0‐based Home Appliances controL sErvice platform (WHALE) for users to easily control home appliances. WHALE is a three‐tier architecture, which consists of Device Detection and Registration Service Platform (DDRSP), Web2.0 Service Platform (WSP), and Common Service Platform (CSP). WHALE is based on the standards of Devices Profile for Web Services (DPWS), Open Services Gateway initiative (OSGi), and Web2.0 techniques. Users can use many kinds of handheld devices to get services from WSP. When DDRSP finds a new home appliance, this home appliance will be registered into CSP. CSP records the related information and services which are provided by this home appliance. WSP not only integrates and shows the related services of all home appliances but also provides controlling interfaces to control the actions of all home appliances. All delivered messages are based on Simple Object Access Protocol (SOAP) and Web Services Description Language (WSDL). Furthermore, for the Web QoS (Quality of Service) strategy, this study designs and proposes an Intelligent Web qualIty of Service‐aware maTching (iWIST) model to satisfy different characteristics of the user's requirements. iWIST consists of Components Classifier, Admission Controller, and Dynamic Content Adaptor. Component Classifier can classify users' requesting components with different QoS constraints. Admission Controller determines the maximum available components for the user. Dynamic Content Adaptor dynamically delivers component information to users. Experiment results illustrate that WHALE can provide appropriate contents with low response time to users. Finally, WHALE has integrity, scalability, operability, adaptivity, and extensibility functions. It can be a reference model for developing home appliance controllers in the future. Copyright © 2011 John Wiley & Sons, Ltd.

Towards a successful implementation of network QoS strategy in IT business infrastructure

Increasing productivity is considered one of the major driving factors for a successful business. From an Information Technology (IT) infrastructure perspective, obtaining an optimised performance of resources is expected to improve productivity. From a technical viewpoint, the introduction of Quality of Service (QoS) models has been perceived to optimise the performance of the organisation network backbone. These models aim to provide an acceptable level of service assurance to the newly introduced applications and services such as voice and video. From a management viewpoint, the proper management of IT investments indirect costs can lead to a reduction of the overall cost portfolio. Consequently, both benefits and productivity increase are likely to be realised. This paper introduces network QoS strategy within the hierarchy of business infrastructure. In addition, it aims to identify the relationship between network QoS and IT indirect costs. Such integration demonstrates how network QoS strategy can be used to control IT indirect costs as well as enhancing network performance.

QoS Scheduler/Shaper for Optical Coarse Packet Switching IP-Over-WDM Networks

For IP-over-WDM networks, optical coarse packet switching (OCPS) has been proposed to circumvent optical packet switching limitations by using in-band-controlled per-burst switching and advocating traffic control enforcement to achieve high bandwidth utilization and quality-of-service (QoS). In this paper, we first introduce the OCPS paradigm. Significantly, we present a QoS-enhanced traffic control scheme exerted during packet aggregation at ingress nodes, aiming at providing delay and loss class differentiations for OCPS networks. Serving a dual purpose, the scheme is called (/spl psi/,/spl tau/)-Scheduler/Shaper, where /spl psi/ and /spl tau/ are the maximum burst size and burst assembly time, respectively. To provide delay class differentiation, for IP packet flows designated with delay-associated weights, (/spl psi/,/spl tau/)-Scheduler performs packet scheduling and assembly into bursts based on their weights and a virtual window of size /spl psi/. The guaranteed delay bound for each delay class is quantified via the formal specification of a stepwise service curve. To provide loss class differentiation, (/spl psi/,/spl tau/)-Shaper facilitates traffic shaping with larger burst sizes assigned to higher loss priority classes. To examine the shaping effect on loss performance, we analytically derive the departure process of (/spl psi/,/spl tau/)-Shaper. The aggregate packet arrivals are modeled as a two-state Markov modulated Bernoulli process (MMBP) with batch arrivals. Analytical results delineate that (/spl psi/,/spl tau/)-Shaper yields substantial reduction, proportional to the burst size, in the coefficient of variation of the burst interdeparture time. Furthermore, we conduct extensive simulations on a 24-node ARPANET network to draw packet loss comparisons between OCPS and just-enough-time (JET)-based OBS. Simulation results demonstrate that, through burst size adjustment, (/spl psi/,/spl tau/)-Shaper effectively achieves differentiation of loss classes. Essentially, compared to JET-based OBS using out-of-band control and offset-time-based QoS strategy, OCPS is shown to achieve invariably superior packet loss probability for a high-priority class, facilitating better differentiation of loss traffic classes.

Incorporating QoS into IP Enterprise Network Design

Recent trends in enterprise networks are radically changing the composition of these systems. Instead of having diverse data networks, each of which is dedicated to a single class of applications, corporations are moving to a unified IP (Internet Protocol) Intranet. Traffic demands on these Intranets include delay-sensitive traffic that requires better than the standard "best effort" service provided by IP networks. As a result, various new technologies and strategies to provide "end-to-end" Quality of Service (QoS) within IP enterprise networks are being developed and implemented. However, current IP network design methodologies are limited in that they can only design networks providing "best effort" service or else, a single delay constraint for all traffic. In this paper, we discuss a new design methodology for IP enterprise networks that takes into account the new technologies and techniques that can provide QoS. In particular, we identify and discuss the most crucial design issues that must be addressed when specialized queuing-based QoS strategies are used in the network. We describe the new constraints introduced by the underlying technologies and discuss how these factors affect the formulation of the IP Enterprise Network Design Problem. We then describe some specific features and methodologies that have been incorporated into a network design-planning tool for IP enterprise networks with QoS.