QoS Satisfaction Research Articles

Interference and QoS aware cell switch-off strategy for software defined LTE HetNets

LTE-Heterogeneous Networks (HetNets) with dense deployment of small cells are expected to effectively meet unprecedented ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major issues to Mobile Network Operators (MNOs) such as complex distributed control plane management and increased energy costs. Hence, MNOs are looking for flexible software defined mobile architectures to reduce their capital expenditure (CAPEX) and operational expenditure (OPEX). In this work, in order to reduce energy costs of the HetNets, we propose an interference and QoS aware cell switch-off strategy (IQ-CSOS) on a software defined LTE Radio Access Network (SD-LTE-RAN) framework. Unlike existing CSOSs, IQ-CSOS investigates both network energy costs and QoS satisfaction of sessions during CSOS decisions. In performance evaluation under various test scenarios, it is found that IQ-CSOS is able to provide 50–80% of network energy savings. Besides, it is able to provide 30% more energy savings compared to existing CSOSs with slight affect on network QoS.

QoS satisfaction aware and network reconfiguration enabled resource allocation for virtual network embedding in Fiber-Wireless access network

Network virtualization emerges as a revolutionary transformation for network operation pattern, which potentially benefits Fiber-Wireless (FiWi) access network by overcoming the bottleneck of joint wireless and optical resource allocation. On one hand, the heterogeneity between optical and wireless subnetworks that has posed severe challenges on the global optimization of FiWi can be tackled using network virtualization by shielding their physical differences. On the other hand, the flexible nature of resource scheduling in FiWi provides an opportunity for Infrastructure Provider (InP) to obtain high profit in the process of Virtual Network Embedding (VNE). In this paper, we highlight the VNE problem in FiWi access network. The wireless channel allocation algorithm and dynamic bandwidth allocation algorithm in FiWi are put forward, based on which the Integer Liner Programming (ILP) model of VNE problem in FiWi access network is formulated mathematically where a practical model of Virtual Network (VN) is focused by endowing each VN with a unique QoS satisfaction requirement. Moreover, aiming at maximizing InP profit, a QoS satisfaction aware VNE algorithm is designed and then improved by network reconfiguration mechanisms that enable the reconfiguration of not only virtual networks but also substrate network. Simulation results demonstrate that our proposed algorithms are effective in achieving higher VN acceptance ratio as well as InP profit. Furthermore, the mobility in network virtualization is analyzed in company with suggested solutions for virtualized FiWi access network. Comprehensive designs will be addressed in future work.

Does Person-Centered Care Improve Residents' Satisfaction With Nursing Home Quality?

ObjectivePerson-centered care (PCC) is meant to enhance nursing home residents' quality of life (QOL). Including residents' perspectives is critical to determining whether PCC is meeting residents’ needs and desires. This study examines whether PCC practices promote satisfaction with QOL and quality of care and services (QOC and QOS) among nursing home residents. DesignA longitudinal, retrospective cohort study using an in-person survey. SettingThree hundred twenty nursing homes in Kansas enrolled or not enrolled in a pay-for-performance program, Promoting Excellent Alternatives in Kansas (PEAK 2.0), to promote PCC in nursing homes. ParticipantsA total of 6214 nursing home residents in 2013-2014 and 5538 residents in 2014-2015, with a Brief Interview for Mental Status score ≥8, participated in face-to-face interviews. Results were aggregated to the nursing home level. MeasurementsMy InnerView developed a Resident Satisfaction Survey for Kansas composed of 32 questions divided into QOL, QOC, QOS, and global satisfaction subdomains. ResultsAfter controlling for facility characteristics, satisfaction with overall QOL and QOC was higher in homes that had fully implemented PCC. Although some individual measures in the QOS domain (eg, food) showed greater satisfaction at earlier levels of implementation, high satisfaction was observed primarily in homes that had fully implemented PCC. ConclusionThese findings provide evidence for the effectiveness of PCC implementation on nursing home resident satisfaction. The PEAK 2.0 program may provide replicable methods for nursing homes and states to implement PCC systematically.

QoS-aware interference management for vehicular D2D relay networks

Vehicular network communication technology is currently attracting a considerable amount of attention. We consider a scenario in which vehicular communication nodes share the same spectrum resources and generate interference with other nodes. Compared with traditional interference-avoiding vehicular communications, this paper aims to increase the number of accessed communication links under the premise of satisfying the required QoS. In our research, communication nodes have opportunities to select relay nodes to both help improve their data transmissions and reduce their transmit power in order to decrease interference with other links while still satisfying their QoS requirements. Based on these objectives, we propose an innovative interference management method that considers link selection, power adaption, and communication mode selection simultaneously to maximize the number of communication links with the lowest power cost. Compared with traditional link-selection and power-adaption interference management schemes, the proposed scheme improves QoS satisfaction with high energy efficiency. Simulation results demonstrate both the efficiency and the effectiveness of the proposed scheme.

Multiple context based service scheduling for balancing cost and benefits of mobile users and cloud datacenter supplier in mobile cloud

This paper makes the use of cloud architecture as computational power for mobile device application. The multiple context based service scheduling scheme for balancing the cost and the benefits of mobile users and cloud datacenter supplier in mobile cloud is proposed, which can adapt to the system context without compromising mobile device user's QoS. The multiple context based mobile cloud service scheduling is formulated as a utility optimization problem, which is expressed as the summation of utilities of mobile cloud users. The proposed model aims to satisfy huge number of mobile requests, improve mobile user's QoS experiences and reduce system overheads. The proposed problem consists of cloud resources allocation optimization subproblem and mobile user QoS optimization subproblem. The multiple context based service scheduling algorithm is proposed to efficiently and adaptively schedule resource according to the context information. The proposed algorithm is validated through a series of experiments. The proposed algorithm can provide better QoS satisfaction for mobile device user, improve cloud resource utilization and reduce the cost.

A QoS Optimization Approach in Cognitive Body Area Networks for Healthcare Applications.

Wireless body area networks are increasingly featuring cognitive capabilities. This work deals with the emerging concept of cognitive body area networks. In particular, the paper addresses two important issues, namely spectrum sharing and interferences. We propose methods for channel and power allocation. The former builds upon a reinforcement learning mechanism, whereas the latter is based on convex optimization. Furthermore, we also propose a mathematical channel model for off-body communication links in line with the IEEE 802.15.6 standard. Simulation results for a nursing home scenario show that the proposed approach yields the best performance in terms of throughput and QoS for dynamic environments. For example, in a highly demanding scenario our approach can provide throughput up to 7 Mbps, while giving an average of 97.2% of time QoS satisfaction in terms of throughput. Simulation results also show that the power optimization algorithm enables reducing transmission power by approximately 4.5 dBm, thereby sensibly and significantly reducing interference.

Effective Capacity Analysis for Cognitive Networks under 𝐐𝐨𝐒 Satisfaction

Effective Capacity Analysis for Cognitive Networks under 𝐐𝐨𝐒 Satisfaction

Optimum Biasing for Cell Load Balancing Under QoS and Interference Management in HetNets

In this paper, we consider a network in which lower power nodes (LPNs) are deployed jointly within macrocells. However, there are significant differences between the transmit power levels, coverage areas, and deployment densities of these two types of base stations. Such disparities lead to an unfair load distribution, as well as a lower throughput for picocells’users equipments (UEs). A good solution to such issues is the exploitation of the cell range expansion (CRE) technique. Although CRE has widely proven its effectiveness, it may degrade the network capacity if the cell bias is not chosen properly. In fact, it may generate severe intercell interference at extended region cell (ERC) UEs, which leads to a deterioration of their throughput. We thus propose a downlink coordinated cell range expansion for mobility management (CCREMM) strategy that analytically computes the joint optimal bias at picocells and macrocells. CCREMM mitigates the interference at ERC-UEs by accounting for their maximum tolerable interference. Moreover, CCREMM reaches the load balancing and the UE QoS satisfaction by accounting for additional parameters. It will be proven that our strategy which is associated with the maximum throughput scheduling technique, results in a cell load-balancing improvement, fairness, and a 50–90% UE throughput enhancement. These performance figures are shown to surpass those achieved by alternative approaches proposed in the existing literature.

A Dynamic and Self-Adaptive Network Selection Method for Multimode Communications in Heterogeneous Vehicular Telematics

With the increasing demands for vehicle-to-vehicle and vehicle-to-infrastructure communications in intelligent transportation systems, new generation of vehicular telematics inevitably depends on the cooperation of heterogeneous wireless networks. In heterogeneous vehicular telematics, the network selection is an important step to the realization of multimode communications that use multiple access technologies and multiple radios in a collaborative manner. This paper presents an innovative network selection solution for the fundamental technological requirement of multimode communications in heterogeneous vehicular telematics. To guarantee the QoS satisfaction of multiple mobile users and the efficient utilization and fair allocation of heterogeneous network resources in a global sense, a dynamic and self-adaptive method for network selection is proposed. It is biologically inspired by the cellular gene network, which enables terminals to dynamically select an appropriate access network according to the variety of QoS requirements and to the dynamic conditions of various available networks. The experimental results prove the effectiveness of the bioinspired scheme and confirm that the proposed network selection method provides better global performance when compared with the utility function method with greedy optimization.

A systematic methodology for augmenting quality of experience in smart space design

Smart space is gaining popularity in academia and industry due to its deep influence on humans, computers, and physical objects. However, quality of experience has attracted less attention in the design of smart space, which results in poor user satisfaction in actual design solutions. In this article, we propose a systematic method for augmenting smart space design, which allows the refinement of high-level user needs into the underlying design solution by leveraging an intermediate representation model, meeting nearly optimal user satisfaction including locality satisfaction, energy consumption satisfaction, QoS satisfaction, and human computer interaction satisfaction. Also, we present the design platform of smart space, which achieves the design flow combined with the space model and platform library. Finally, we use a home health care application to demonstrate the effectiveness and feasibility of our methodology.

Efficient Market Strategy Based Optimal Scheduling in Hybrid Cloud Environments

Hybrid cloud is a combination of a private cloud combined with the use of public cloud services where one or several touch points exist between the environments. Depending on utilization, data center cost and the costs of the cloud provider, an efficient scheduling policy has to decide whether or not moving from private cloud to public cloud is profitable. The paper proposes a market based hybrid cloud optimal scheduling optimization in hybrid cloud. The hybrid cloud marketplace is a virtual place where one or more public cloud providers and private cloud users meet to negotiate simultaneously. The scheduling optimization is conducted by hybrid cloud local scheduling and hybrid cloud global scheduling. For the global scheduling, the hybrid cloud system implements the allocation of public cloud resources to the private cloud application groups; the private cloud application group coordinates the deployments of all private cloud applications that consume the allocation of public cloud resources. For the local scheduling, the private cloud local level adjusts the cloud resource usages to optimize the utility of single private cloud application. In the simulations, compared with other related algorithm, our proposed market based hybrid cloud optimal scheduling algorithms achieve the better performance in terms of QoS satisfaction rate and allocation efficiency.

Grid Scheduling with QoS Satisfaction and Clustering

The objective of the study is to device an Adaptive Machine Scoring Technique with Cluster (AMSTWC) to schedule the jobs/tasks in a grid environment which reduces the overall completion time (make span) and increases the resource Utilization. It also minimizes the execution time of the algorithm and with QoS satisfaction. The scheduling is done for computational as well as data grids. There are many heterogeneous Gridlets/machines which are geographically distributed. So, the searching time of the appropriate Gridlets, most suitable for the given job is more. This algorithm clusters the Gridlets depending on their configurations which reduces the search time of the Gridlets/machines which satisfies QoS. Task requirements are matched against the Machine capabilities available in Grid and AMSTWC selects the machine which has the highest resource score. AMSTWC result is compared with the existing algorithms in terms of make span, Resource Utilization, Flow Time and Execution time. AMSTWC performs better than the existing algorithms in most of the cases.

A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks

We propose a bio-inspired model for making handover decision in heterogeneous wireless networks. It is based on an extended attractor selection model, which is biologically inspired by the self-adaptability and robustness of cellular response to the changes in dynamic environments. The goal of the proposed model is to guarantee multiple terminals’ satisfaction by meeting the QoS requirements of those terminals’ applications, and this model also attempts to ensure the fairness of network resources allocation, in the meanwhile, to enable the QoS-oriented handover decision adaptive to dynamic wireless environments. Some numerical simulations are preformed to validate our proposed bio-inspired model in terms of adaptive attractor selection in different noisy environments. And the results of some other simulations prove that the proposed handover scheme can adapt terminals’ network selection to the varying wireless environment and benefits the QoS of multiple terminal applications simultaneously and automatically. Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.

Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory

Most existing QoS-aware Service Discovery and Selection (QSDS) schemes use linguistic terms to describe the QoS satisfaction degree when ranking competing alternatives. However, such schemes determine the degree of QoS satisfaction using fuzzy set membership functions, and cannot therefore take negative evidence (i.e., consumer dissatisfaction) into account. By contrast, vague sets provide the ability to represent both positive and negative evidence when modeling uncertain objects. Accordingly, the present study proposes a new satisfaction-based Web service ranking method for QSDS problems involving a group of online service consumers with imprecise and inconsistent expectations and degrees of satisfaction regarding multiple QoS criteria. Importantly, the proposed approach overcomes the uncertainty regarding the difference between the users' expectations and their degree of satisfaction inherent in Dempster---Shafer (D-S) evidence theory. Overall, the results show that the proposed scheme provides an effective means of solving the problem of vague and ill-defined information in the QSDS decision-making process.

WiMedia D-MAC 기반 Wireless USB 시스템을 위한 SoQ-based 릴레이 통신 프로토콜

The WiMedia Alliance has specified a Distributed Medium Access Control (D-MAC) protocol based on UWB for high speed wireless home networks and WPANs. In this paper, firstly, the fair SoQ-based Distributed Reservation Protocol (DRP) for D-MAC is analyzed. And a novel SoQ-based relay transmission protocol is proposed to overcome DRP conflicts fast. In the proposed protocol, each device executes the Satisfaction of QoS (SoQ) time slot allocation algorithm independently. And, in order to give the loser device due to DRP conflicts another chance to maintain QoS resources, the proposed relay transmission protocol helps the device reserve another indirect link maintaining the required QoS resources via a relay node.

Performance analysis of three multi-radio access control policies in heterogeneous wireless networks

Access control policy in wireless networks has a significant impact on QoS satisfaction and resource utilization efficiency. The design of access control policy in heterogeneous wireless networks (HWNs) becomes more challenging especially for the heterogeneous multiple access protocols of each radio network. In this paper, a Markov model is proposed to analyze the performance of three access control policies for HWNs. The first policy is the optimal radio access technology (O-RAT) selection, where the incoming traffic always tries to access one network with the maximum service rate before admission. The second policy intends to allocate the same data to all networks. And the traffic will leave the system if it is accomplished first by one of these networks, which is formulated as the aggregated multi-radio access (A-MRA) technology. The third policy is named the parallel multi-radio access (P-MRA) transmission, in which the incoming traffic is split into different networks. The traffic is served with the sum of the service rates provided by overall networks. Numerical and simulate results show the effectiveness of our analytical framework and the performance gain of the three access control policies. As illustrated with some representative results, the P-MRA policy shows superior performance gain to the other two policies independent on the specific parameters of the different multiple access protocols due to the multiplexing gain.

Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

A hybrid cloud integrates private clouds and public clouds into one unified environment. For the economy and the efficiency reasons, the hybrid cloud environment should be able to automatically max...

QoS-oriented Web Service Framework by Mixed Programming Techniques

Web service based applications have been widely applied in various kinds of domains with the development of service-oriented architecture. However, service selection and composition under user’s QoS constraints still remains to be a challenging issue because of the changing of user’s requirements. In this work, we present a QoS-oriented web service framework and its implementation, which is aiming to optimize the performance of service-based application with constraints to user’s QoS requirements. In this framework, the optimum mapping between abstract web services and application’s processes is implemented through mixed programming technique. In addition, an embedded QoS negotiation mechanism is also implemented in this framework for refining the execution of service-based application at runtime. Massive experiments based on real workloads are performed to evaluate the effectiveness of the proposed framework in both static environment and dynamical environment. The results indicate that the proposed framework and its service selection/composition algorithm can significantly improve the user’s QoS satisfaction in terms of five most-mentioned QoS parameters.

PHY/MAC Enhancements and QoS Mechanisms for Very High Throughput WLANs: A Survey

Wireless local area networking has experienced tremendous growth in the last years with the proliferation of IEEE 802.11 devices in order to improve wireless technology. The first generation of high throughput networks known as IEEE 802.11n was developed in 2009 to reach 130 Mbps. Furthermore, to enhance the throughput, two new amendments for IEEE 802.11 are under developments which are IEEE 802.11ad and IEEE 802.11ac. The first one aims to reach 1Gbps with supporting multi-user access techniques. The second amendment aims to enable up to 7Gbp with the possibility of transmitting in the 60GHz band that provides the opportunity for much wider band channels. Another WLAN is already finalized called IEEE 802.11aa in the goal to provide a reliable multicast transport for video streaming. In this survey, we examine the different PHY and MAC enhancements introduced by all these WLAN specifications. Particularly, we focus on the characteristics of each amendment as well as the main MAC mechanisms that lead to improve the network performance. Based on the fact that all recent MAC mechanisms aim to increase QoS guarantee for real time multimedia applications, we have studied different schemes and mechanisms that provide QoS satisfaction for real time multimedia flows transport over WLANs. Namely, we investigate the scheduling mechanisms, the call admission control algorithms, and the anticipated MAC enhancement which are proposed for WLANs networks to support real time applications with QoS satisfaction.

Task Scheduling Algorithm based-on QoS Constrains in Cloud Computing

Based on the study of traditional min-min scheduling algorithm, the paper proposed a min-min task scheduling algorithm based on QOS constraints in cloud computing. According to the vector which is generated by QOS parameters, the algorithm processes the matching of resources and tasks, and then provides users with resources which meet their requirements. Experimental results show that the min-min task scheduling algorithm for cloud computing has better performance in such aspects as task execution time, rate of discarding task and QOS satisfaction compared with traditional min-min scheduling algorithm.