Quality Of Service Optimization Research Articles

Computation Offloading with Privacy-Preserving in Multi-Access Edge Computing: A Multi-Agent Deep Reinforcement Learning Approach

The rapid development of mobile communication technologies and Internet of Things (IoT) devices has introduced new challenges for multi-access edge computing (MEC). A key issue is how to efficiently manage MEC resources and determine the optimal offloading strategy between edge servers and user devices, while also protecting user privacy and thereby improving the Quality of Service (QoS). To address this issue, this paper investigates a privacy-preserving computation offloading scheme, designed to maximize QoS by comprehensively considering privacy protection, delay, energy consumption, and the task discard rate of user devices. We first formalize the privacy issue by introducing the concept of privacy entropy. Then, based on quantified indicators, a multi-objective optimization problem is established. To find an optimal solution to this problem, this paper proposes a computation offloading algorithm based on the Twin delayed deep deterministic policy gradient (TD3-SN-PER), which integrates clipped double-Q learning, prioritized experience replay, and state normalization techniques. Finally, the proposed method is evaluated through simulation analysis. The experimental results demonstrate that our approach can effectively balance multiple performance metrics to achieve optimal QoS.

Exploiting Anytime Algorithms for Collaborative Service Execution in Edge Computing

The diversity and scarcity of resources across devices in heterogeneous computing environments can impact their ability to meet users’ quality-of-service (QoS) requirements, especially in open real-time environments where computational loads are unpredictable. Despite this uncertainty, timely responses to events remain essential to ensure desired performance levels. To address this challenge, this paper introduces collaborative service execution, enabling resource-constrained IoT devices to collaboratively execute services with more powerful neighbors at the edge, thus meeting non-functional requirements that might be unattainable through individual execution. Nodes dynamically form clusters, allocating resources to each service and establishing initial configurations that maximize QoS satisfaction while minimizing global QoS impact. However, the complexity of open real-time environments may hinder the computation of optimal local and global resource allocations within reasonable timeframes. Thus, we reformulate the QoS optimization problem as a heuristic-based anytime optimization problem, capable of interrupting and quickly adapting to environmental changes. Extensive simulations demonstrate that our anytime algorithms rapidly yield satisfactory initial service solutions and effectively optimize the solution quality over iterations, with negligible overhead compared to the benefits gained.

Enhancing public transport accessibility: Exploring hybrid car sharing systems for improved connectivity

Transportation networks within a region are vital. They link individuals from their starting points to their destinations. Nonetheless, even highly effective transportation systems may not ensure optimal performance, service quality, or fairness for users unless they are extensively interconnected and accessible to as many people as possible. In this context, we present a planning framework for complementing public transit (PT) systems with other cost-effective mobility systems, such as car-sharing (CS) systems, to improve performance in terms of connectivity and accessibility. These metrics are evaluated by using the suitably introduced Connectivity and Accessibility Index (CAI). Specifically, in the present research, we first introduce a novel methodology for assessing the connectivity and accessibility values of existing PT systems. Then, the proposed approach provides an optimization-based design model for a hybrid CS system comprising both one-way (OW) and two-way (TW) models. To evaluate the capabilities of the proposed approach, a real-world case study of the PT system of the city of Trento (Italy) is evaluated.

Optimizing Cloud Broker Profitability through Advanced Cloud Computing Techniques

Cloud computing has gained significant traction as an efficient solution for delivering on-demand computing resources and services. For cloud service providers, ensuring profitability while maintaining service quality is crucial. However, the prevalent single long-term renting approach often results in compromised service quality and substantial resource wastage. To address this, our paper proposes a pioneering double resource renting scheme that integrates short-term and long-term renting. This innovative approach not only guarantees optimal service quality for all requests but also significantly minimizes resource wastage. We adopt an M/M/m+D queuing model to analyse the performance indicators affecting the profitability of our double renting scheme, including the average charge and the ratio of requests necessitating temporary servers. By formulating a profit maximization problem tailored to the double renting scheme, we derive an optimized cloud platform configuration. Comparative calculations between our proposed scheme and the traditional single renting scheme demonstrate that our approach not only ensures superior service quality for all requests but also yields increased profitability. Key Words- Cloud computing, Double resource renting, Service quality, M/M/m+D queuing model, Performance indicators, Profit maximization, Short-term renting, Long-term renting.

RSMA-aided V2X communications: A multi-layer perspective

Rate-splitting multiple access (RSMA), a novel technology in next-generation mobile communications, has garnered increasing attention for its powerful and flexible interference management when compared to traditional multiple access methods. However, considering classical vehicle-to-everything (V2X) communication networks with multiple cells, the flexibility of decoding increases with an increasing number of users having different requests, which results in higher outage performance and additional energy consumption. In order to address these problems, this paper proposes a novel multi-layer (ML) RSMA scheme, aiming to enhance the system performance and decrease the decoding flexibility simultaneously. For the first layer, users enjoying optimal quality of service (QoS) are selected to aid the other cluster members. For the second layer, the cluster members are grouped following the QoS and request similarity. In addition, with respect to our proposed ML-V2X RSMA system, this paper investigates the performance over Rayleigh fading channels, where we derive closed-form expressions of achievable sum rate and outage probability, respectively. Numerical results reveal that: (1) For low SNR scenarios, the ML-V2X RSMA system achieves higher achievable sum rates than classical NOMA-aided V2X systems. (2) The outage probability of ML-V2X RSMA system is superior to that of NOMA-aided V2X systems and traditional cooperative communication systems.

The Role of the Intellectual Capital Dimension in Improving Employee Performance Through Work Motivation

Currently, the government continues to strive to provide optimal quality of service to the community through improving the quality of employee performance. Given the importance of employee performance, this study has the aim of examining how the role of intellectual capital dimensions on employee performance of the Surakarta City Transportation Office using work motivation as an additional variable (intervening). The questionnaire method for this quantitative research was utilized for data collection. A total of 83 people participated in the survey and filled out this questionnaire. Based on the results of the analysis, it show that the dimensions of intellectual capital, including human capital, relationship capital and structural capital, have a significant impact on employee performance. In addition, based on the results of the Sobel Test, the work motivation of each employee can act as a moderator / intervening between the dimensions of intellectual capital and employee performance of the Surakarta City Transportation Agency.

The Role of Human Factors in Maintaining Service Quality in Hospitals

The delivery of high-quality healthcare services is a multifaceted endeavor influenced by various factors, among which human factors play a pivotal role. This paper explores the significance of human factors in upholding service quality within hospital settings. Drawing upon interdisciplinary research from fields such as psychology, sociology, and healthcare management, it examines the intricate interplay between healthcare professionals, patients, and organizational structures. In today's healthcare landscape, where patient-centric care is increasingly emphasized, understanding the impact of human factors is paramount. One of the primary focuses is on patient satisfaction, which is not only influenced by clinical outcomes but also by the quality of interactions with healthcare providers. Effective communication between healthcare professionals and patients is essential for building trust, managing expectations, and ensuring informed decision-making. Moreover, the demeanor, empathy, and interpersonal skills of healthcare staff significantly contribute to patients' overall experience and satisfaction levels. Safety is another critical aspect of service quality in hospitals, and human factors play a central role in patient safety initiatives. Research has shown that the majority of adverse events in healthcare are attributable to human error, highlighting the importance of addressing factors such as fatigue, stress, and workload among healthcare professionals. Furthermore, teamwork and collaboration are vital for promoting a culture of safety, where healthcare providers work together cohesively to identify and mitigate risks, thereby enhancing patient outcomes and reducing preventable harm. Effective leadership within healthcare organizations is also instrumental in shaping service quality. Strong leadership sets the tone for organizational culture, values, and priorities, influencing the behavior and performance of healthcare staff. Leaders who prioritize patient-centered care, employee well-being, and continuous quality improvement foster an environment conducive to delivering high-quality services. To optimize service quality, hospitals must invest in staff training, development, and support programs. Ongoing education ensures that healthcare professionals stay abreast of the latest evidence-based practices, technological advancements, and regulatory requirements. Moreover, initiatives to promote staff well-being, such as employee assistance programs, work-life balance initiatives, and resilience training, are essential for preventing burnout and maintaining morale. In conclusion, human factors play a multifaceted role in maintaining service quality in hospitals, encompassing aspects such as communication, teamwork, leadership, and staff well-being. By recognizing the complexities of human interactions within healthcare systems and implementing targeted interventions, hospitals can enhance service delivery, improve patient outcomes, and cultivate a culture of excellence.

Psr Model with Intelligent Min-Max Estimation Deep Learning (Imin-Maxedl) for Public Service Evaluation of Sports Venues

Sports venues play a pivotal role in fostering athletic excellence, community engagement, and social cohesion. From local recreation centers to iconic stadiums hosting international events, these facilities serve as hubs of activity, bringing together athletes, spectators, and enthusiasts from diverse backgrounds. The evaluation of sports venues is crucial for ensuring optimal functionality, service quality, and reputation within the community.
 The Public Service Evaluation of Sports Venues, integrating the PSR (Psychological Skills Model) model, provides a comprehensive framework for assessing the effectiveness and quality of sports facilities. This paper presents a comprehensive framework for the public service evaluation of sports venues, integrating the PSR (Psychological Skills Model) model with Intelligent Min-Max Estimation Deep Learning (Imin-maxEDL). The PSR model serves as the foundation for assessing the effectiveness and quality of sports facilities across multiple dimensions, including performance, service quality, and reputation. Meanwhile, Imin-maxEDL employs advanced deep learning techniques to optimize the evaluation process, leveraging large datasets to extract nuanced insights and predictive analytics. Through simulated experiments and empirical validations, the efficacy of the proposed framework is assessed, demonstrating significant improvements in accuracy, efficiency, and predictive capabilities compared to traditional evaluation methods. the integration of Imin-maxEDL resulted in a 25% increase in accuracy in predicting service quality ratings, while also reducing evaluation time by 30%. Additionally, the PSR model combined with Imin-maxEDL achieved a 20% improvement in reputation assessment precision, leading to more informed decision-making by stakeholders.

HUBUNGAN ANTARA KOHESIVITAS KELOMPOK DAN SIKAP PERAWAT PELAKSANA DENGAN PRODUKTIVITAS KERJA PERAWAT PELAKSANA DIRUANG RAWAT INAP RSUPN. DR. CIPTOMANGUNKUSUMO

Cooperation between the nursing team is a very important factor for achieving optimal quality of service. Teamwork in the hospital much influenced by the attitudes of nurses to perform nursing actions. The purposes of this study were to determine the relationship between group cohesiveness and the attitude of the nurse executive with labor productivity in RSUPN nurse executive Dr. Ciptomangunkusumo.
 The method of research is Deskriptive correlational, with cross sectionaldesign. The hypothesis of the study, relationship between group cohesiveness with the productivity of labor and the relationship between nurse executive position with the labor productivity of nurse executives.
 The results of bivariate statistical tests found that there were no relationship between group cohesiveness with the productivity of nurses working with a p-value executor 0.231, while attitudes have a significant association with work productivity perawata implementing the values of r = 0216, p-value 0.0007.
 Conclusion there was no significant relationship between group cohesiveness with the productivity of labor while a significant relationship between nurse executive with the work attitude of labor productivity in the inpatient nurses RSUPN. Cipto Mangunkusumo.

Efficient Exclusion Strategy of Shadowed RIS in Dynamic Indoor Programmable Wireless Environments

Recent efforts have promoted programmable wireless environments (PWEs) to enhance the reception quality in high-frequency bands via reconfigurable intelligent surfaces (RISs). However, relevant research efforts are limited to setups with stationary users. This paper shows that crowd mobility in indoor PWEs induces spatio-temporal shadows on the surfaces, resulting in spatio-temporal sparsity in channel gains due to signal blockages. This overlooked aspect impacts the operation strategy of PWEs as the shadowed RIS tiles would contribute to the overheads while offering almost no improvement to the reception quality. Hence, this paper proposes an optimal strategy that excludes the shadowed tiles, which maximizes the utilization efficiency of RISs while minimizing the overheads. Since signal blockage is tied with the details of user mobility, a general model does not exist to identify such shadowed tiles for exclusion. Hence, we follow a data-driven approach that capitalizes on a realistic indoor mobility model and ray-tracing to generate the channel data. However, conventional ray-tracing presents high complexity that hinders data generation. So, we propose an approach to identify the shadow regions with a nine-order of magnitude reduction in complexity to efficiently generate the channel data. Furthermore, we present two exclusion strategies that offer guaranteed and best-effort quality-of-service support, and each can identify the tiles to be excluded via a search method with a complexity of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">O(N)</i> for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> tiles. The results indicate that the proposed strategies reduce the overheads by 45 - 50% while maintaining optimal service quality in various environments, operation frequencies, and user and access point density.

Concretization of Online Accreditation to Improve the Quality of Digital Technology-Based Education Services in the New Normal Era

This article aims to investigate the implementation of accreditation to enhance the quality of technology-based education services in the new normal era. The primary focus of the research is on the concrete application of online accreditation based on digital technology in the field, associated with the improvement of educational service quality. The research approach utilizes school accreditation guidelines as a reference, collecting data through interviews and document analysis, which is then qualitatively analyzed. The findings indicate that the successful implementation of online accreditation is contingent upon schools providing facilities, infrastructure, and human resources professionals in using digital technology in educational services. Furthermore, the quality of educational services is reflected in the school's output, particularly in the superior quality of graduates from accredited A-level schools compared to non-accredited ones. By employing digital technology in the accreditation process, schools face the challenge of cultivating habits of using digital technology in their operational procedures. Ultimately, this positively contributes to the overall improvement of the quality of educational services. With efficient administrative management and well-managed learning processes, technology-based accreditation encourages schools to continually adapt and enhance themselves to achieve optimal educational service quality.

Joint resource optimization and flexible QoS provision using hybrid optical core node architecture

All-optical networks (AON) provide large bandwidth, high-speed switching, and quality of service (QoS). However, the emergence of recent applications generating flexible traffic demands affects AON resource utilization and QoS management. These concerns are handled by AON using core nodes with large wavelength converters (WC) and fiber delay line (FDL) spaces, resulting in a high cost of implementation and operation. This paper proposes a hybrid core node architecture, upgrading existing nodes with limited effective modification to minimize physical topology costs. This hybrid architecture increases WC and FDL availability and reduces wavelength utilization according to traffic behavior. These new node functions are enabled using an advanced algorithm integrating a novel cost formulation merging WC and FDL with lightpath deflection (LD). This algorithm activates resource availabilities using a flexible QoS scheme considering the required and real-time traffic loss and blocking delay. The experimental results indicate that the proposed approach optimizes AON resources while guaranteeing required traffic demands compared to the existing techniques.

Towards an SDN-based Dynamic Resource Allocation in 5G Networks

The rapid evolution of mobile technologies has ushered in a new era of connectivity, particularly with the advent of the Fifth Generation (5G) technology, which promises low latency and high throughput. However, with the exponential growth of applications and services, resource allocation is becoming essential to ensure optimal quality of service. In this paper, we examine the limitations of traditional approaches and propose a new dynamic resource allocation approach based on Software-Defined Networking (SDN) for flexible and intelligent management of 5G networks. Our model aims to improve network efficiency by using resources intelligently and to guarantee a superior user experience.

Service Quality and Students' Satisfaction of Management Department of Kanakai Multiple Campus

Service quality is an important tool for increasing student satisfaction. This study examines the service quality of the management department of Kanakai Multiple Campus (KMC) from students’ perspective. It also examines the order of strength and relationship of service quality dimension as student satisfactions. The study was conducted among 52 bachelor-level students of management department of KMC located at Jhapa district of Nepal was taken as sample based on SERVEQUAL gap model developed by Parasuraman et al.(1985, 1988a), and used four likert scale and random sampling method was applied to collect data. Major Findings were compared with the main objective to measure the level of students’ satisfaction and factors that contribute the service quality in management department of KMC. The result of the study emphasizes on the improvement of service quality dimensions of management department of KMC so as to satisfy students and get strategic advantage in this competitive marketplace. This study contributes valuable insights for educational institutions seeking to optimize service quality and bolster their market positioning.

Pengaruh Kualitas Pelayanan terhadap Loyalitas Pelanggan (Studi Kasus pada Pengguna Aplikasi Belanja Online Tokokota)

This study aimed to empirically investigate the relationship between service quality and customer loyalty within the context of Tokokota's online platform in Pontianak. The research was conducted in Pontianak City with 150 respondents. Employing quantitative and qualitative data collection methods and leveraging structural equation modeling for analysis, the study identified key service quality dimensions (such as ease of use, information completeness, and product variety) that significantly influence customer loyalty. Employing a mix of surveys and interviews and analyzing the data with SEM, the study concluded that service quality greatly affected customer loyalty and highlighted specific service aspects that require improvement to increase loyalty. The findings provide valuable insights for Tokokota in formulating strategies to optimize service quality and enhance customer retention. Service quality is analyzed through indicators of ease of use, appearance, reliability, communication, and incentives.

Remote Communications between Patients and General Practitioners: Do Patients Choose the Most Effective Communication Routes?

The use of remote communication between patients and general practitioners has greatly increased worldwide, especially following the COVID-19 outbreak. Yet, it is important to evaluate the impact of this shift on healthcare quality. This study aimed at evaluating remote healthcare quality by comparing four remote patient-to-physician communication modes used in Israel. The research methodology entailed criteria-based analysis conducted by healthcare quality experts and a subjective patient-perception questionnaire regarding the healthcare quality attributed to each mode and the extent to which each mode was used. Our findings indicate that the extent to which each mode is used was found to be inversely related to its rated quality. As such, the common assumption whereby patients tend to choose the mode of communication that will most likely ensure high service quality is refuted. Our findings also indicate that remote services often hinder the physician's understanding of the patient's clinical issues, as patients encounter difficulties in correctly articulating and conveying them; such services also hinder the patient's understanding of the recommended course of treatment. These findings should be addressed by policymakers for improving remote communication services to ensure optimal healthcare service quality.

Analysis of Service Quality JKN Mobile Application Toward Participants Satisfaction of the Health Social Security Implementing Agency (BPJS) Tegal Regency

Background: JKN Mobile is an innovation by BPJS Kesehatan to provide service access easier for their participants. JKN Mobile application can be accessed everytime and everywhere while continuing to provide optimal service quality for user satisfaction.Objective: This study aims to analyze the correlation between service quality (tangile, reliability, responsiveness, assurance, and empathy) with satisfaction of JKN Mobile’s users at Tegal Regency.Methods: Type of quantitative research using cross sectional research design. Sampling method using accidental sampling technique. Total sample 100 respondents using Lameshow sample size formula. The research instrument used questionnaire.Results: Based on the fisher exact statistical test on the service quality with satisfaction the result is tangible (p=0,001), reliability (p=0,000), responsiveness (p=0,000), assurance (p=0,000), dan empathy (p=0,000). Conclusion: There was a significant relationship between service quality with satisfaction.

Unlocking QoS Potential: Integrating IoT services and Monte Carlo Control for heterogeneous IoT device management in gateways

The exponential surge in IoT devices has presented significant challenges in managing network traffic and maintaining Quality of Service (QoS) in IoT networks. To tackle these challenges, ongoing efforts are focused on developing innovative solutions that leverage advanced traffic management techniques, robust QoS mechanisms, and enhanced security protocols. Addressing these obstacles is crucial for the continued growth and success of the IoT system, enabling seamless integration of smart devices and revolutionizing multiple industries and sectors by providing unparalleled connectivity and intelligence. This article proposes an innovative approach to enhance the management of heterogeneous IoT devices and ensure Quality of Service (QoS) in IoT networks. Integrating device categories into the QoS policy aims to optimize overall performance while addressing the diverse QoS requirements of different device categories. The benefits of considering device categories include tailored resource allocation, improved user satisfaction, customized QoS handling, and scalability. The proposed approach utilizes the Monte Carlo Control algorithm to learn an optimal QoS policy through simulations of traffic scenarios. Our paper highlights Monte Carlo Control’s (MCC) rapid learning in diverse IoT settings, peaking at 50 episodes, compared to Q-learning’s 100 episodes and dynamic programming’s 200 episodes. Specifically, in audio IoT, MCC achieved 730 packets/second throughput with a 50 ms delay, outperforming QL (723 packets/second, 134 ms) and DP (700 packets/second, 171 ms). These results underscore MCC’s vital role in elevating IoT Quality of Service, making it pivotal for system performance and user experience optimization.

Sistem Informasi Manajemen dan Loyalitas Pengguna Jasa pada Industri Maritim di Indonesia

The purpose of this study was to determine the contribution of ship agency service quality and management information systems to service user loyalty through internal control mediation at Tanjung Priok Port. Some of the problems found, among others, are still not optimal service quality and management information systems provided by the company to customers. In addition, internal control has not been carried out optimally and ship departure schedules are sometimes not as promised by the company. This research was conducted at PT Umbu Perdana Maritim as a new agency company located in the Tanjung Priok Port area. The research population is the customers of PT Umbu Perdana Maritim, for a sample of 60 active customers which is called a saturated sample. For data processing carried out in this study, using the path analysis method. The results showed that the quality of ship agency services did not have a direct effect on service user loyalty through internal control, and the management information system did not have a direct effect on service user loyalty through internal control.

PENGARUH KINERJA PEGAWAI TERHADAP KEPUASAN MASYARAKAT MELALUI KUALITAS PELAYANAN ADMINISTRASI KEPENDUDUKAN SEBAGAI VARIABEL MEDIASI

Abstract&#x0D; This research aims to analyze the influence of employee performance on community satisfaction through service quality as a mediating variable at the Sidorejo village office. This type of research is quantitative research. Data collection was carried out using a questionnaire, the data was analyzed using path analysis. The sample in this research was 100 respondents. The data analysis methods used are descriptive statistical analysis, validity test, reliability test, classical assumption test, path analysis with the help of the SPSS version 21 program. The findings of this research are 1) employee performance has a significant and direct effect on the quality of village office services Sidorejo. 2) employee performance has a significant and direct effect on the satisfaction of the Sidorejo village community. 3) service quality has a significant and direct effect on the satisfaction of the Sidorejo village community. 4) employee performance on community satisfaction does not influence (does not mediate) service quality. These findings provide input that good employee performance will create community satisfaction. Optimal service quality will create satisfaction for the community.