Quality Of Service For Users Research Articles

Data Analysis-Oriented Stochastic Scheduling for Cost Efficient Resource Allocation in NFV Based MEC Network

Recently, there has been increasing interest in data analysis services based on MapReduce framework, which is a programming model and an associated implementation for processing and generating Big Data sets with a parallel, distributed algorithm on a cluster. Due to limited resource configuration, it is hard for end users to deal with computing-intensive data analysis tasks by themselves. Therefore, outsourcing these tasks to nearby edge computing servers (i.e., multi-access edge computing) becomes a key step towards the next generation mobile networks. However, new challenges arise for designing cost efficient distributed system by jointly managing communication and computing resources with unpredictable tasks arrival mode in complex spatial and temporal domains. In this paper, based on the idea of network function virtualization (NFV), we distribute a series of operation functions of MapReduce framework on distributed edge computing servers to execute data analysis service and investigate how to dynamically minimize the overall operational cost with joint consideration of workflow scheduling, network function management, resource allocation, and system stabilization. Our method leverages Lyapunov optimization technique to make a tradeoff between the queue backlog and overall cost without using future information. Simulation results show that our method can effectively reduce computing and communication cost while guaranteeing quality of service for end users.

Simulation of vehicle traffic at exit from the adjacent territory to main streets

Abstract. Problem. The transport systems of Ukrainian cities have a fairly high number of problem areas with difficult conditions for traffic, one such example being exits to main streets from adjacent territories. The probability of transport problems at such facilities is difficult to predict even at the design stage, which ultimately has negative consequences that affect the quality of transport services for road users within these facilities. These shortcomings are already being addressed by traffic management specialists who have transport modeling skills and have the appropriate software packages at their disposal. Goal. The main purpose of the article is to estimate vehicle delays at the adjacent territory exit to main streets using PTV VISSIM. Methodology. Development of a simulation model of the object selected for the study; assessment of traffic delays for the existing traffic management option; development of measures to improve traffic management at the selected object of experimental research and evaluation of their effectiveness. Results. The result of the simulation model is the animation of traffic in the form of a real-time graphic and the subsequent output of transport and technical parameters: travel time distribution, traffic delays, queue length, idle time, emissions, fuel consumption, which can be differentiated by user group. Originality. The results of the simulation of the proposed variant of transport service for traffic participants at the adjacent territory exit to main streets indicate its very high efficiency and the possibility of implementation even under conditions of a significant increase in the intensity of flows. Practical value. Using the traffic simulation model of adjacent territory exit to main streets developed in PTV VISSIM, which is based on the results of field observations of vehicle traffic, allows us to draw reasonable conclusions about improving the quality of transport service at the object selected for the study.

Analysis of User Satisfaction of Fintech OVO Using Delone and Mclean Information System Success Model in Denpasar City

This study aims to find out how the influence of information quality, system quality, service quality, and security, on user satisfaction in the OVO application in Denpasar. This study uses a quantitative approach, data processing methods using SEM-PLS. used is SmartPLS 3.0. The population of this study are users of the OVO digital payment system in Denpasar. The sample was determined based on cluster sampling technique and random sampling, with a sample of 96 respondents. The results of this study prove that of the 10 hypotheses made there are 7 hypotheses that are accepted, namely the relationship between system quality and use, the relationship between system quality and user satisfaction, information quality and user satisfaction, service quality and use, service quality and user satisfaction, the relationship between use and net benefit and user satisfaction relationship to net benefit, and 3 hypotheses with results rejected namely information quality to use, security relationship to use and security relationship to user satisfaction.

The Influence of System Quality, Information Quality, and Service Quality on User Satisfaction Through Use in The Blibli Marketplace

This study aims to determine what factors influence the success of the Blibli application using the Delone & McLean model. The variables used in this research are system quality, information quality, service quality, user activity, and user satisfaction. The population in this study are marketplace users who have used and shopped at the Blibli application, with a sample size of 190 respondents. The data collection technique used a questionnaire, and the data analysis technique used was the SmartPLS analysis tool. Based on the results of the study, of the ten hypotheses, seven hypotheses are accepted, namely information quality and service quality have a positive effect on user activity, system quality, service quality, and user activity have a positive effect on user satisfaction, information quality and service quality have a positive effect on user satisfaction through user activity. The contribution to this research resulted in a model for measuring the effectiveness of the Blibli application system that companies can use to develop applications in the future to increase user satisfaction with the Blibli application.

Data analysis and machine learning in the context of customer churn prediction

Due to the fierce competition in the market, customers are often faced with multiple choices when choosing products and services. So many industries, including banking, are now facing the problem of how to address customer churn. At the same time, in order to improve the quality of service for users, banks and other institutions need to conduct in-depth research on the characteristics of customers. This paper provides solutions to the above two problems by using data analysis and mining technology and machine learning technology in artificial intelligence. The study provides an in-depth exploration of cus-tomer churn likelihood by analyzing customer behavior and characteristics. This study used data analysis methods such as Chi-square test, Mann Whitney U test, linear regres-sion, and machine learning methods such as logistic regression, random forest, and XGBoost. This research uses public datasets on Kaggle. This study uses data analysis techniques to provide recommendations on how the banking industry should improve service quality, and establishes 6 models with better performance to predict customer churn. In addition, this paper also uses a variety of evaluation indicators to compare the model performance, and selects the random forest model with high predictive ability as the most suitable model. In addition, the order of importance of the factors responsible for customer churn was successfully derived.

STUDI TINGKAT KINERJA PEGAWAI DINAS PERPUSTAKAAN DAN ARSIP PROVINSI KALIMANTAN TENGAH

This study aims to determine the level of performance of employees of the Central Kalimantan Province Library and Archives Service, seen from the dimensions: (1) Service Orientation, (2) Integrity, (3) Commitment, (4) Discipline, and (5) Cooperation. The type of research used is descriptive quantitative. The population in this study were employees at the Central Kalimantan Province Library and Archives Service, totaling 18 people with Echelon III and IV status, where all populations were samples (total sample). The data collection technique is a questionnaire / questionnaire. The results showed that in general the performance level of employees at the Central Kalimantan Province Library and Archives Service was in the "Fair enough" category. The results of this study answered and strengthened the phenomena that the researchers found in the initial study, where in reality the high or low results of employee performance appraisals based on PKP did not necessarily reflect the actual conditions in the field. Discipline of employees (librarians) is still a real problem that must be immediately addressed by the Central Kalimantan Province Library and Archives Service in an effort to improve the quality of service for users.

ANALYSIS OF THE INFLUENCE OF LEADERSHIP AND WORK MOTIVATION OF OFFICIALS ON THE QUALITY OF HEALTH SERVICES FOR HEALTHY INDONESIA CARD USERS IN DEPOK CITY

This research is motivated by service problems for Healthy Indonesia Card users in Depok City. Service quality problems are thought to be caused by ineffective leadership and low employee motivation. This research only focused on the variables of leadership, work motivation and service quality. This study aims to determine the effect of leadership and work motivation on service quality for Healthy Indonesia Card users in Depok City, either partially or collectively. The sampling technique in this study was proportional stratified random sampling with a total sample of 286 respondents. This research method is a quantitative method with regression analysis. Data collection techniques using documentation, questionnaires and literature study. Research data collection tool is a questionnaire based on a Likert scale. The data analysis technique uses simple and multiple linear regression analysis. The results prove that leadership and work motivation are proven positive and significant to service quality partially or collectively.

Task Offloading, Caching and Matching in Ultra-Dense Relay Networks

In recent years, ultra-dense relay network (UDRN) has become a hot research topic. Mobile edge computing (MEC) can improve the performance of intelligent interactive applications in terms of time delay and energy consumption. In traditional MEC, MEC server in the base station (BS) is responsible for all the computing in the network. However, the MEC deployed in the BS may lead to huge computation burden on the BS and heavy traffic load through the network. Deploying MEC server in the relays of the network, which helps computing and caching for the users, will lower the burden of the BS, reduce the demand for traffic transmission through the network and improve the quality of service for users. This paper studies the problem of task caching, offloading and stable matching (SM) in UDRNs with MEC deployed in the relays, which is formulated as a multi-variable integer programming problem. To enable task caching and offloading, we propose an improved branch-and-bound algorithm and a low-complexity suboptimal algorithm to obtain the optimal and suboptimal schemes, respectively. Then, according to the principle of minimizing individual costs, the mutual preference lists between the users and relays are established. Based on the mutual preference lists, we propose an improved SM algorithm to obtain the user-relay SM results. Simulation results show that the proposed algorithms can bring considerable performance gains compared with conventional algorithms.

Heuristic Algorithm for Resource Allocation in an Internet of Battle Things

Internet of Things has been experiencing unprecedented deployment from the civilian to the military ones like the Internet of battle Things (IoBT). Different from the civilian applications, the presence of various electronic countermeasures (ECM) in IoBT would destroy the infrastructure of a network, making the mobile edge computing (MEC) with quality of service (QoS) guaranteed in such a resource-limited IoBT more challenging. To improve the QoS of mobile users under an ECM environment, we address the optimization scheme in an MEC network with heterogeneous edge servers, considering that the connections in a network might be destroyed and therefore switch to the other connections for data transmission due to ECM. Mathematically, we characterize the optimization of wireless resource allocation as a mixed-integer nonlinear problem to maximize the relative improvement in task computation time and energy consumption. We decompose the original problem into a few suboptimization problems and propose a heuristic algorithm that can achieve a suboptimal solution in polynomial time by solving this NP-hard problem. The analytic results show that our proposed scheme can save task computation time and energy consumption over traditional approaches under an ECM environment.

Digitalization of the paratransit (trotro) using mobility as a service: What are the adoption intentions of operators and operator unions in Ghana?

Although mobility as a service (MaaS) aims at improving transport service quality for transport users, the success of the scheme also promises certain benefits for operators. For developing countries, the onboarding of operators and operator unions presents a significant challenge to the development of MaaS. This is because most transport forms in these countries are informal and privately owned. The willingness of transport operators to participate in the MaaS ecosystem can therefore be considered a key measure of its success or otherwise. In this study, 181 paratransit minibus taxi operators in Kumasi, and 5 executives of the largest transport union i.e. the Ghana Private Road Transport Union (GPRTU) were interviewed on possible factors that could encourage their adoption of MaaS. The data were analyzed using structural equation modeling (SEM) and content analysis. The results suggest the constructs; performance expectancy (PE), effort expectancy (EE), familiarity with ride-hailing (AF), and social influence (SI) were significant in determining operators' behavioral intentions towards MaaS. These findings suggest that for operators, a MaaS platform that could improve overall job efficiency while being relevant to commuters, would be most ideal for their participation in the MaaS ecosystem. Union executives were however skeptical about MaaS, with their key concern being the possible job losses that it could create, particularly for the drivers' assistants (mates). Given the power dynamics in the paratransit sector, it is safe to say that this skepticism could represent a significant institutional barrier to MaaS adoption, although an MSP could attempt to implement MaaS alongside current paratransit or introduce it gradually among populations inclined to use it.

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication.

To meet the transmission requirements of different users in a multiple-beam access system for underwater optical communication (UWOC), this paper proposes a novel multiple-beam space division multiple access (MB-SDMA) system by utilizing a directional radiation communication beam of the hemispherical LED arrays. The system's access users in the different beams are divided into two categories: the users with a single beam and the users with multiple beams. We also propose a power allocation algorithm that guarantees the quality of service (QoS) for single beam and multiple beam access, especially the QoS for edge users, and fairness for all users. An optimization model of power distribution under the constraints of specific light-emitting diode (LED) emission power is established for two scenarios, which ensure the user QoS for edge users and the max-min fairness for fair users. Using the Karush-Kuhn-Tucker (KKT) condition and the bisection method, we obtain the optimal power allocation expression for the two types of users in the optimization model. Through simulation, we verify that the proposed user classification and power allocation method can ensure the fairness of fair users on the premise of ensuring the QoS of edge users. At the same time, we know that the number of users will affect the improvement of the minimum rate, and the throughput of the non-orthogonal multiple access (NOMA) system is greatly improved compared with the traditional orthogonal multiple access (OMA) systems.

HCOME: Research on Hybrid Computation Offloading Strategy for MEC Based on DDPG

With the growth of the Internet of Things, smart devices are subsequently generating a large number of computation-intensive and latency-sensitive tasks. Mobile edge computing can provide resources in close proximity, greatly reducing service latency and alleviating congestion in mobile core networks. Due to the instability of the mobile edge computing environment, it was difficult to guarantee the quality of service for users. To address this problem, a hybrid computation offloading framework based on Deep Deterministic Policy Gradient (DDPG) in IoT is proposed. The framework is a system consisting of edge servers and user devices. It is used to acquire the environment state through Software Defined Network technologies and generate the offloading strategy by Deep Deterministic Policy Gradient. The optimization objectives in this paper include the total system overhead of the mobile edge computing system, and considering both network load and computational load, an optimal offloading strategy can be obtained to enable users to obtain a better quality of service. Finally, the experimental results show that the algorithm outperforms the comparison algorithm and can reduce the system latency by 20%, while the network load and computational load are also more stable.

Energy efficient resource allocation method for 5G access network based on reinforcement learning algorithm

Edge computing and IIoT (Industrial Internet of Things) are two representative application scenarios in 5G (5th Generation) mobile communication technology network. Therefore, this paper studies the resource allocation methods for these two typical scenarios, and proposes an energy-efficient resource allocation method by using DRL algorithm, which enhances the network performance and reduces the network operation cost. Firstly, according to the characteristics of edge computing, taking the connection relationship between base stations, users and the transmission power allocated by base stations to users as decision variables, minimizing the overall energy efficiency as the goal, and taking the needs of mobile users as constraints, a resource allocation model for user quality of service (QoS) guarantee is designed. Secondly, simulation experiments are used to verify that the proposed method has faster training speed and convergence speed, ensures the quality-of-service requirements of mobile users, and realizes intelligent and energy-saving resource allocation. The approximate amounts of steps to convergence under four cases are 500, 350, 250, and 220, respectively, and the values of awards are 21.76, 21.09, 20.38, and 20.25, respectively. Thirdly, aiming at the IIoT environment scenario, this paper proposes a resource allocation method for 5G wide connection low delay services based on asynchronous dominant action evaluation algorithm (A3C). Firstly, according to the characteristics of IIoT environment, taking the connection relationship between base stations and users and the transmission power allocated by base stations to users as decision variables and maximizing energy efficiency while satisfying needs of each user as optimization goal, a resource allocation model for 5G wide connection low delay services is designed. On this basis, an energy-efficient resource allocation method according to A3C is proposed. The hierarchical aggregation clustering algorithm (HAC) is adopted to determine the connection relationship between the base station and users, and the A3C algorithm is adopted to allocate transmission power to users, so as to maximize the overall energy efficiency and ensure the needs of each user.

A bandwidth-aware service migration method in LEO satellite edge computing network

With the development of modern sensing technology, large amounts of data are generated in areas that lack terrestrial networks, such as the field and space. This data is transmitted by satellite networks, where the interesting data is only a small part. By introducing edge computing technology, identifying and transmitting interesting data will improve the efficiency of satellite network and the quality of service for users. A satellite edge computing (SatEC) system is proposed in this paper that provides computing services through LEO satellite network. For satellite characteristics with limited resources and mobility, a bandwidth-aware service migration problem is proposed to minimize the long-term total delay cost of the system while all tasks do not exceed its deadline. Converting long-term optimization problem into a series of one-time MINLP problems, an online lazy migration algorithm is firstly proposed to solve optimal service migration decision scheme with ϵ(1+1β)-competitive ratio. Then a hierarchical iterative algorithm is proposed to decouple communication and computing resources. Finally, a bandwidth-aware virtual CPU scheduling for post-copy migration algorithm is proposed to improve the migration speed. Simulation results show that the proposed scheme effectively deal with the topology change of satellite network and reduce the long-term total delay cost of the SatEC system.

Partial cooperative NOMA for improving outage performance of edge users

ABSTRACT Providing reliable service to cell edge users has been a practical challenge for network operators due to the deep fading effects and limited base station (BS) resources. The low received signal strength causes the Quality of Service (QoS) degradation of the cell edge users and hence demands appropriate solutions to improve the user connectivity. To address this issue, this article proposes a two-tier partial cooperative relaying scheme, deployed in a non-orthogonal multiple access (NOMA)-based downlink network that serves the edge users with the minimum required QoS. Comparative performance analysis has been presented for two relaying schemes: amplify-and-forward (AF) and partial decode-and-forward (DF) in terms of outage probability and overall sum rate of the edge users. Additionally, the maximal ratio combining (MRC) diversity technique is integrated with the relaying network to further enhance the QoS of cell edge users. The impact of successive interference cancellation (SIC) on the outage performance has been thoroughly investigated. It has been established through extensive simulation that the partial DF technique is a promising relaying technique to improve the overall performance of cell edge users.

Merenje zadovoljstva korisnika kompanije za e-trgovinu zasnovano na postupku opinionmining-a pomoću SVM algoritma, CSI i IPA

This study was carried out to examine the perceived service quality of an e-commerce company app users and the measures that may be taken to improve customer satisfaction. The analysis techniques used were opinion mining to analyse reviews on the Google Play Store, e-SERVQUAL and Customer Satisfaction Index (CSI) to assess customer satisfaction, and Importance Performance Analysis (IPA) to identify elements that require improvement. According to the findings of opinion mining, 65.86% of e-commerce company application users were satisfied, while 34.14% were dissatisfied. Customer satisfaction levels were classified as satisfied for the dimensions of efficiency and reliability, and fairly satisfied for the dimensions of fulfilment, compensation, and responsiveness, based on questionnaire distribution. The Importance Performance Analysis method was used to determine the priority for service quality improvement. Findings showed that delivery time, product suitability, refund and return policy, and service time were the top priorities for service improvement.

Модели и методы вычисления задержек при предоставлении услуг пользователем на сервисных платформах сеансовых инфокоммуникационных услуг

The purpose of this article is to develop methods for calculating the qualitative characteristics of infocommunication services whose workloads consist of user sessions. The scope of application of these methods affects the development and maintenance of infocommunication multi-user services, in terms of ensuring a high quality of user service. The quality of service (QoS) parameters under consideration determine the characteristics of both the system as a whole and individual elements of its architecture, and for this type of service, the qualitative characteristics are the waiting time for the start of user session maintenance, the load factor of server equipment, the number of user sessions simultaneously supported by the system during its error-free operation. Multi-user services are considered from the point of view of queuing theory as a network of queuing systems, with the duration of the user session and the time of receipt of requests for services by gaming services distributed exponentially. To evaluate the parameters of the models of infocommunication multi-user services, Jackson networks were chosen as a mathematical apparatus, which allow us to consider the necessary systems of the type M/M/v. As an approbation of the results, a mathematical analysis of multi-user gaming services was proposed, since their popularity, and hence the flow of users to game servers, is increasing at a tremendous rate. As an additional tool for assessing the qualitative characteristics of the session models under consideration, simulation modeling was proposed, which allows us to evaluate the accuracy of the proposed analytical method and analyze the characteristics of complex systems with time distribution laws other than exponential, for example, long-tailed distributions (Weibull, Pareto, etc.)

Role Perceived ValueAs the Mediating Variable of The Effect of Service Quality on User Satisfaction (Study on KRI Operations At the Military Seaborne Command)

Quality of service in general greatly affects the satisfaction of its users. Synopsis In this thesis, we conduct research on service quality on user satisfaction in KRI operations at the Military Cross-Sea Command. This thesis uses a quantitative research method based on preliminary data, a structural equation model, used to examine data sourced from the Military Maritime Command. The conclusions from this study are that Perceived Value is influenced by the Quality of Service for KRI Kolinlamil users.

Multiple Objective Fairness Scheduling Optimization Algorithms Based on Multiple DAGs in Heterogeneous Edge Computing

The rapid development of edge computing has promoted the growing demand of applications. Quality of service (QoS) must be improved because this index involves issues such as unfairness and short Directed Acyclic Graph (DAG) schedule length. We propose a new algorithm named Multiple DAGs Depth Fairness Task Scheduling (MDDF) in this study to solve the multi-DAG task unfairness problem effectively, the algorithm on the basis of the measured depth of the task in the DAG, improves the fairness of multiple DAG, enhance the user QoS and obtain a fast response. The proposed algorithm is then compared with four common heuristic scheduling methods to verify its effectiveness. We propose another algorithm called Fast Multi-DAG Depth Fairness Task Scheduling (FMDDF) with high average slowdown to reduce the schedule length of short DAG and accelerate the response time. Experimental results show that FMDDF can improve scheduling and shorten the schedule length of short DAG by about 5% and MDDF can enhance fairness by about 2% while reducing the short DAG schedule length compared with other algorithms.

Impact of service quality on user satisfaction in public university libraries of Bangladesh using structural equation modeling

PurposeThe study aims to appraise the impact of service quality dimensions on user satisfaction in Bangladeshi public university libraries using structural equation modeling (SEM).Design/methodology/approachThis study developed an SEM method based on SERVQUAL, LibQUAL+ and SERVPERF instruments, including 30 items under five service quality dimensions and eight satisfaction items with the 7-point Likert scale to appraise the impact of library service quality dimensions on user satisfaction. For this purpose, a survey was carried out among 437 students, 52 MPhil/PhD researchers and 32 teachers of the nine selected public university libraries of Bangladesh through a structured questionnaire. The SEM approach included path analysis, confirmatory and exploratory factor analysis, as well as construct reliability and validity where user satisfaction was used as the dependent variable, and five service quality dimensions were applied as independent variables.FindingsThis model was identified as significant and clarified 58% of the total variation in user satisfaction. The study findings indicated that resources of the libraries, staff competence, demeanor approach and tangible facilities of the public university libraries have a significant impact on user satisfaction.Originality/valueAn initiative has been taken for the first time to ascertain the impact of library service quality on user satisfaction applying the SEM approach in Bangladesh. Moreover, it creates an avenue to prompt future studies on the structural relationship between user satisfaction and service quality dimensions in academic libraries globally.