Quality Of Service For Applications Research Articles

Remote health care cyber‐physical system: quality of service (QoS) challenges and opportunities

There is a growing emphasis to find alternative non-traditional ways to manage patients to ease the burden on health care services largely fuelled by a growing demand from sections of population that is ageing. In-home remote patient monitoring applications harnessing technological advancements in the area of Internet of things (IoT), semantic web, data analytics, and cloud computing have emerged as viable alternatives. However, such applications generate large amounts of real-time data in terms of volume, velocity, and variety thus making it a big data problem. Hence, the challenge is how to combine and analyse such data with historical patient data to obtain meaningful diagnoses suggestions within acceptable time frames (considering quality of service (QoS)). Despite the evolution of big data processing technologies (e.g. Hadoop) and scalable infrastructure (e.g. clouds), there remains a significant gap in the areas of heterogeneous data collection, real-time patient monitoring, and automated decision support (semantic reasoning) based on well-defined QoS constraints. In this study, the authors review the state-of-the-art in enabling QoS for remote health care applications. In particular, they investigate the QoS challenges required to meet the analysis and inferencing needs of such applications and to overcome the limitations of existing big data processing tools.

A study on the impact of Mobile Tourism Application Service Quality on consumer’s intention: Focusing on Technology Acceptance Model

A study on the impact of Mobile Tourism Application Service Quality on consumer’s intention: Focusing on Technology Acceptance Model

A topology and application‐aware relay path allocation scheme in multipath transport system based on application‐level relay

SummaryThe ever‐increasing transmission requirements of quality of service (QoS)‐sensitive applications, especially real‐time multimedia applications, can hardly be met by the single path routing protocols. Multipath transmission mechanism is a feasible approach to provide QoS for various applications. On the basis of the general framework of multipath transport system based on application‐level relay, we present a relay path allocation scheme, whose goal is to select suitable relay paths, while balancing the overlay traffic among the different domains and relayers. With the application‐layer traffic optimization service under the standardization within the Internet Engineering Task Force (IETF), the controller has the topology‐aware ability to allocate relay paths with excellent routing performance. To further develop the universality of our method, the controller perceives transmission performance of relay overlay network through relayers' performance detection processes and, thus, has the application‐aware ability to allocate relay paths with excellent transmission performance for different applications by consulting application‐specific transmission metrics. Simulation results demonstrate that the proposed relay path allocation algorithm performs well in allocating superior relay paths and can balance the distribution of overlay traffic across domains in different network situations.

A multi‐channel cooperative clustering‐based MAC protocol for V2V communications

AbstractThe Internet of vehicles (IoV) is an emerging networking technology, which can support information sharing and interactions among users, vehicles, and infrastructures. Various applications can be provided by IoVs, and they have very different quality‐of‐service (QoS) requirements. It is a great challenge to design an efficient MAC protocol to meet the different QoS demands of various applications in IoVs, because of unreliable links and high vehicle mobility. On the other hand, cooperative communication is effective in mitigating wireless channel impairments by utilizing the broadcast nature of wireless channels. In this paper, a multi‐channel cooperative clustering‐based MAC (MCC‐MAC) protocol, under the Dedicated Short Range Communication (DSRC) multi‐channel architecture, is presented to improve the transmission reliability of safety messages and provision QoS for different applications in IoVs. Further, we analyze the performance of MCC‐MAC, in terms of average transmission delay. In addition, extensive simulations with ns‐2 are conducted to demonstrate the performance of the proposed MCC‐MAC. Copyright © 2016 John Wiley & Sons, Ltd.

HUBUNGAN PENERAPAN MANAJEMEN PUSKESMAS DAN KOMITMEN KERJA PETUGAS DENGAN MUTU PELAYANAN PENGOBATAN DI POLI UMUM PUSKESMAS KABUPATEN BANGKALAN (Studi di Puskesmas Se-Kabupaten Bangkalan)

Health care quality problems in health centers is growing into a serious public health problem . The low quality of puskesmas is often a complaint from the public . The demands of today's society will be quality health services is increasing. a strong commitment to be willing to devote all its capabilities for the benefit of health centers in improving the quality of health services. This research is analytic survey research with cross sectional approach with quantitative approach . Data collection at once at a time (point time approach) . The total sample of 105 doctors and nurses at the health center of Bangkalan Public Poli . To test the relationship pattern researchers used an analysis tool of logistic regression chi square test with SPSS version 16 . The results showed that: 1) with a p value of 0.001 No Relationship Management Application Service Quality Medical health center, 2) with p value 0.000 Labour Relations Officers Commitment to Quality Medical Care. Employees who have work commitments to be more responsible in providing the best service qualityKeywords : Application management clinic, working Commitment , Quality of Service

Resource Reservation and Improved QoS for Real Time Applications in MANET

Background/Objective: Real time data communication in Mobile Adhoc Network is a demanding issue due to the selfgoverning nature of mobile devices which are connected with each other by wireless links. Nodes frequently change their position and location remaining connected to the network which is without any base or any infrastructure. Careful considerations have to be made during designing the protocols for real time data transmission which are highly sensitive and time constrained. Common challenges faced by real time data transmission are efficient energy utilization, scalability of the network, optimized use of bandwidth, resource reservation, reducing chance of link failure, security, Quality of Service (QoS) consideration, dynamically changing topology etc. Methods/Statistical Analysis: Here, we present a cross layer communication centered quality of service platform with foundation of an energy optimized Ad hoc On- Demand distance Vector (AODV) protocol that uses a delay achieved and power efficient elevated routing algorithm at the network layer as part of the QoS platform. Secondly enhanced method of resource reservation such as bandwidth management, reduced power consumption with longevity of residual power of highly movable nodes has been implemented with co-ordination of data link layer for smooth transmission of real time packets over the network with minimum queuing delay and propagation delay. Results: Simulation result produces better efficiency of our proposed architecture in terms of better packet delivery ratio and improved network life time when compared with other similar approaches. Application: The proposed architecture provides efficient QoS aware routing with resource reservation in MANET.

Quality of service aware cloud resource provisioning for social multimedia services and applications

The increasing number of next-generation multimedia services and social media applications in cloud computing put additional challenges in efficient resource provisioning that targets to minimize under or over utilization of resources as well as to increase user satisfaction. Most of the works in the literature focused either on resource estimation and scheduling approaches or energy consumption for executing social media data processing applications. However, they do not consider energy consumption cost for communication devices and network appliances and schedule Virtual Machines (VMs) based on centralized job placement approach. In this paper, we develop a Quality of Service (QoS) aware cloud resource management system that decreases energy consumption and increases resource utilization by diverse multimedia social applications. In order to minimize the VM creation time we allow recycling of VM resources for user request with similar resource requirements. We have developed two distributed and localized resource management algorithms based on energy conservation, and requirements and availability of resources. The results of simulation experiments depict that the resource scheduling system greatly reduces the amount of energy consumption while maintaining the QoS of social multimedia applications.

Mobility management for IoT: a survey

Internet of Thing (IoT) or also referred to as IP-enabled wireless sensor network (IP-WSN) has become a rich area of research. This is due to the rapid growth in a wide spectrum of critical application domains. However, the properties within these systems such as memory size, processing capacity, and power supply have led to imposing constraints on IP-WSN applications and its deployment in the real world. Consequently, IP-WSN is constantly faced with issues as the complexity further rises due to IP mobility. IP mobility management is utilized as a mechanism to resolve these issues. The management protocols introduced to support mobility has evolved from host-based to network-based mobility management protocols. The presence of both types of solutions is dominant but depended on the nature of systems being deployed. The mobile node (MN) is involved with the mobility-related signaling in host-based protocols, while network-based protocols shield the host by transferring the mobility-related signaling to the network entities. The features of the IoT are inclined towards the network-based solutions. The wide spectrum of strategies derived to achieve enhanced performance evidently displays superiority in performance and simultaneous issues such as long handover latency, intense signaling, and packet loss which affects the QoS for the real-time applications. This paper extensively reviews and discusses the algorithms developed to address the challenges and the techniques of integrating IP over WSNs, the attributes of mobility management within the IPv4 and IPv6, respectively, and special focus is given on a comprehensive review encompassing mechanisms, advantages, and disadvantages on related work within the IPv6 mobility management. The paper is concluded with the proposition of several pertinent open issues which are of high research value.

Modelling of Internet of Things units for estimating security-energy-performance relationships for quality of service and environment awareness

Complexity of Internet of Things IoT applications and difficulty to predict their behaviour in wireless communications make modelling of IoT units an important research topic. The IoT unit is considered here as the two-node IoT model that supports bi-directional wireless communications. There are many approaches to model security and energy awareness; however, little is known about the synergistic effect of those factors at the application level under the influence of environmental factors such as noise. The paper introduces a modelling framework to model the security-energy-environment issues as main attributes to allow defining quality of service QoS for the IoT-based applications. Among others, the healthcare ones are regarded as predominant now. We model IoT units using the feature-based modelling methodology adopted from the software engineering domain. The result of modelling is a set of feature models with valid configurations that describe the energy-security-environment-performance relationships and possible constraints to support various IoT applications. Having feature models, we can select a configuration that is best suited for a given IoT application with respect to QoS requirements. As feature models represent abstract relationships of domain factors, we need additionally to provide experiments to determine concrete values of modelled features. We describe the experimental system to measure energy consumption under the influencing factors. Both models abstract and concrete allow reasoning about QoS of the IoT applications. Copyright © 2016 John Wiley & Sons, Ltd.

Pliable Cognitive MAC for Heterogeneous Adaptive Cognitive Radio Sensor Networks.

The rapid expansion of wireless monitoring and surveillance applications in several domains reinforces the trend of exploiting emerging technologies such as the cognitive radio. However, these technologies have to adjust their working concepts to consider the common characteristics of conventional wireless sensor networks (WSNs). The cognitive radio sensor network (CRSN), still an immature technology, has to deal with new networks that might have different types of data, traffic patterns, or quality of service (QoS) requirements. In this paper, we design and model a new cognitive radio-based medium access control (MAC) algorithm dealing with the heterogeneous nature of the developed networks in terms of either the traffic pattern or the required QoS for the node applications. The proposed algorithm decreases the consumed power on several fronts, provides satisfactory levels of latency and spectrum utilization with efficient scheduling, and manages the radio resources for various traffic conditions. An intensive performance evaluation is conducted to study the impact of key parameters such as the channel idle time length, node density, and the number of available channels. The performance evaluation of the proposed algorithm shows a better performance than the comparable protocols. Moreover, the results manifest that the proposed algorithm is suitable for real time monitoring applications.

Improving Multipath Routing Protocols Performance in Mobile Ad Hoc Networks based on QoS Cross-Layer Routing

Background/Objectives: Improving performances of routing protocols which use the multipath scheme and the hop count routing metric in ad hoc networks in order to satisfy quality of service requirements of different application traffics. Methods/Statistical Analysis: This paper proposes a technique to estimate the values of delay and packet loss ratio of MAC layer’s links by using the ETX technique and the service time calculation of DCF in CSMA/CA principle, respectively. After that, these values are combined with the weights which are obtained from application traffic classification using cross-layer approach to establish new routing metrics. These metrics are suitable for Quality of Service (QoS) requirements of applications. Findings: Traditional multipath routing protocols operate only in Network layer and utilize a static routing metric which leads them to be unable to give route priority to different traffic classes from Application layer. After applying the suitable dynamic routing metrics of delay and packet loss ratio for application traffic classes when implementing new multipath routing protocol named QCLR in NS2 simulator, the results of performance evaluations show that the performance of proposed protocol higher than AOMDV protocol regarding to higher throughput, lower overhead traffic, higher packet delivery ratio and smaller end-to-end delay for both of Class 1 and Class 2 traffics. Applications/Improvements: Improving quality of routing service for applications which have different traffic classes, especially for multimedia applications.

Congestion Avoidance Routing in Wireless Sensor Networks

sensor nodes consist of group of self organized sensor nodes with limited resources in terms of processing power and battery energy. Wireless sensors are used increasingly in many industrial and consumer applications. Sensors detect events and send via multi hop routing to the sink node for processing the event. The routing path is established through proactive or reactive routing protocols. Congestion happens due to flow of packets exceeding the capacity of link & exceeding the capacity of nodes in terms of Queue Size. Due of congestion packet loss occurs and it affects the quality of application services built on top of sensor network. In this work, we address the congestion from point of reducing the probability of congestion rather than make it to occur and solve it. We propose a NOCO routing protocol which is built on top of AODV and follows reservation based mechanism to avoid congestion and also alleviate the congestion if it happens. KeywordsNetworks, Multi hop routing, Congestion, AODV, NOCO.

Load-Adaptive Resource Management for Green Wireless-Optical Broadband Access Network (WOBAN)

Wireless-optical broadband access network (WOBAN) is regarded as a promising broadband access network technology for meeting the challenges of the exponential increase in Internet traffic. WOBAN combines the reliability and capacity of the passive optical network (PON) with the ubiquity and mobility of the wireless network to cost efficiently deliver services to the end user. In common with other next generation communication networks, WOBAN faces the challenge of delivering very high data rates without sacrificing the quality of service (QoS) and energy efficiency. In this paper, we propose a new resource management technique for improving the energy efficiency of the integrated optical-wireless unit in WOBAN. The concept is based on increasing the idle time of the wireless and optical parts without sacrificing the QoS of end applications, and exploiting idle durations to enable sleep, which ultimately boosts power savings. We use the interoperability for resource management in the wireless and optical parts to maintain the QoS. Our results reveal that extending the idle time and making the resource management in both optical and wireless adapt to the daily traffic fluctuations guarantee the QoS requirements for different traffic and boost energy savings in WOBAN.

A BER and 2-Hop Routing Information-Based Stable Geographical Routing Protocol in MANETs for Multimedia Applications

In order to guarantee the QoS of multimedia applications in a mobile ad hoc network (MANET), a reliable packet transmitting mechanism used in MANETs is developed. In this paper, we synthesize the geographical information, bit error rates of the links and 2-hop routing information to elaborate a most durable routing path between the source node and the destination node. In route discovery phase, all the possible paths from the source node to the destination node are checked on the basis of path reliability and number of hops. Meanwhile, 2-hop routing tables are created. Aided by the geographical information, our mechanism can reduce broadcast packets significantly in RREQ phase compared with other flooding-based protocols. The 2-hop routing information is employed just like backup node information used in other stable routing protocols. Once the path breaks, it can be repaired locally and rapidly by setting up a short path to a 2-hop neighboring node. Compared with other four stable mechanisms with excellent performance, our mechanism (B2RP) exhibits a slightly better in terms of packet delivery ratio, average route lifetime and end-to-end delay.

Scalable classification of QoS for real-time interactive applications from IP traffic measurements

Measurement of network Quality of Service (QoS) has attracted considerable research effort over the last two decades. The recent trend towards Internet Service Providers (ISP's) offering application-specific QoS is creating possibilities for more sophisticated QoS metrics to be offered by ISP's in service level agreements. This in turn could be used for the purposes of improved network optimization and billing according to application specific QoS guarantees. We report a scalable near real-time approach using passively logged IP traffic data for classification of application latency and packet loss across a range of real-time interactive applications. We run six experiments involving Minecraft, Quake 3 Urban Terror, VLC video streaming and the commercial Wirofon VOIP application. We use a mixture of laboratory and real-world deployments, with run times ranging from hours to days, and observe a combination of real and simulated ISP latency and packet loss events. Our binary classification (i.e. classes 'OK' or 'lag') 10-fold cross validation F1 scores are between 0.80 and 0.93 depending on the application type. Our multi-class classification (i.e. classes representing discrete packet loss or latency ranges) 10-fold cross validation F1 scores for Minecraft are 0.89 for latency and 0.90 for packet loss. With new business models between ISP's and application developers being actively considered this work represents a significant contribution to the debate by providing scientific evidence relating to a novel approach to scalable QoS measurement

Analisis Pengaruh Kualitas Pelayanan Dan Disiplin Kerja Karyawan Terhadap Kepuasan Pasien Askes Di Pt Askes Kediri

Abstract This research is motivated researcher observations and experiences, especiallythat of PT Askes Kediri Askes Patients who are less sensitive in terms of quality ofservice and low sense of employee discipline in obeying the rules. As a result, manypatients who are less conscious and lazy to perform administrative activities.The problem of this study is (1) Is the quality of health care insurance in effecton patients’ satisfaction, PT Askes Kediri? (2) Is the employee disciplinary effect onpatient satisfaction in PT Askes Kediri? (3) Is the quality of service and employeediscipline effect on patient satisfaction in PT Askes Kediri?This study used a qualitative approach to formulating a hypothesis, then thehypothesis will be tested using a quantitative approach. Where the data obtained willbe calculated using the formula and test the statistical analisisaConclusion The results of this study were (1) Variable quality of service (X1)to simultaneously deliver significant influence on patient satisfaction in PT Askeskediri with a probability value of b1 is 0.017 less than 0.05. (2) Variable disciplineemployees (X2) simultaneously providing significant influence on patient satisfactionin PT Askes Kediri with a probability value of b2 is 0.031 less than0.05. (3) Variable quality of service (X1) has a regression coefficient (β) for = 0.149,employee discipline (X2) is 0.123, thus it can be said that the service quality variable(X1) has a dominant influence on patient satisfaction in PT Askes Kediri .Conclusionsbased on these results, it is recommended: (1) the principal purpose of the applicationquality of service and employee discipline is to give satisfaction to the patient.Therefore, employees should always put quality of service and employee discipline.(2) the employee must be continuously examined, to prove whether the quality ofcare and discipline works are in accordance with the applicable rules. Keywords: Quality of Service, Employee Discipline, Patient Satisfaction.

Dirigent

Latency-critical applications suffer from both average performance degradation and reduced completion time predictability when collocated with batch tasks. Such variation forces the system to overprovision resources to ensure Quality of Service (QoS) for latency-critical tasks, degrading overall system throughput. We explore the causes of this variation and exploit the opportunities of mitigating variation directly to simultaneously improve both QoS and utilization. We develop, implement, and evaluate Dirigent, a lightweight performance-management runtime system that accurately controls the QoS of latency-critical applications at fine time scales, leveraging existing architecture mechanisms. We evaluate Dirigent on a real machine and show that it is significantly more effective than configurations representative of prior schemes.

Dirigent

Latency-critical applications suffer from both average performance degradation and reduced completion time predictability when collocated with batch tasks. Such variation forces the system to overprovision resources to ensure Quality of Service (QoS) for latency-critical tasks, degrading overall system throughput. We explore the causes of this variation and exploit the opportunities of mitigating variation directly to simultaneously improve both QoS and utilization. We develop, implement, and evaluate Dirigent, a lightweight performance-management runtime system that accurately controls the QoS of latency-critical applications at fine time scales, leveraging existing architecture mechanisms. We evaluate Dirigent on a real machine and show that it is significantly more effective than configurations representative of prior schemes.

Baymax

Modern warehouse-scale computers (WSCs) are being outfitted with accelerators to provide the significant compute required by emerging intelligent personal assistant (IPA) workloads such as voice recognition, image classification, and natural language processing. It is well known that the diurnal user access pattern of user-facing services provides a strong incentive to co-locate applications for better accelerator utilization and efficiency, and prior work has focused on enabling co-location on multicore processors. However, interference when co-locating applications on non-preemptive accelerators is fundamentally different than contention on multi-core CPUs and introduces a new set of challenges to reduce QoS violation. To address this open problem, we first identify the underlying causes for QoS violation in accelerator-outfitted servers. Our experiments show that queuing delay for the compute resources and PCI-e bandwidth contention for data transfer are the main two factors that contribute to the long tails of user-facing applications. We then present Baymax, a runtime system that orchestrates the execution of compute tasks from different applications and mitigates PCI-e bandwidth contention to deliver the required QoS for user-facing applications and increase the accelerator utilization. Using DjiNN, a deep neural network service, Sirius, an end-to-end IPA workload, and traditional applications on a Nvidia K40 GPU, our evaluation shows that Baymax improves the accelerator utilization by 91.3% while achieving the desired 99%-ile latency target for for user-facing applications. In fact, Baymax reduces the 99%-ile latency of user-facing applications by up to 195x over default execution.

Baymax

Modern warehouse-scale computers (WSCs) are being outfitted with accelerators to provide the significant compute required by emerging intelligent personal assistant (IPA) workloads such as voice recognition, image classification, and natural language processing. It is well known that the diurnal user access pattern of user-facing services provides a strong incentive to co-locate applications for better accelerator utilization and efficiency, and prior work has focused on enabling co-location on multicore processors. However, interference when co-locating applications on non-preemptive accelerators is fundamentally different than contention on multi-core CPUs and introduces a new set of challenges to reduce QoS violation. To address this open problem, we first identify the underlying causes for QoS violation in accelerator-outfitted servers. Our experiments show that queuing delay for the compute resources and PCI-e bandwidth contention for data transfer are the main two factors that contribute to the long tails of user-facing applications. We then present Baymax, a runtime system that orchestrates the execution of compute tasks from different applications and mitigates PCI-e bandwidth contention to deliver the required QoS for user-facing applications and increase the accelerator utilization. Using DjiNN, a deep neural network service, Sirius, an end-to-end IPA workload, and traditional applications on a Nvidia K40 GPU, our evaluation shows that Baymax improves the accelerator utilization by 91.3% while achieving the desired 99%-ile latency target for for user-facing applications. In fact, Baymax reduces the 99%-ile latency of user-facing applications by up to 195x over default execution.