Quality Of Service In Internet Research Articles

ANALISIS GANGGUAN DAN IDENTIFIKASI KABEL FIBER OPTIC MENGGUNAKAN OTDR DI OTB CIREBON-BREBES R4

Fiber optic cables that experience interference and breaks are a common problem in modern communications infrastructure. Interference and breaks in optical cables can disrupt data transmission between locations and cause a decrease in signal quality. The use of an Optical Time Domain Reflectometer (OTDR) has become a common method for detecting faults in optical cables by displaying the attenuation of the cable under test. Although optical fiber has a large capacity and high speed for transmitting information, relatively small attenuation still has a significant impact on transmission quality. The importance of maintaining and handling this interference is because attenuation can cause power loss in fiber optic transmission, hamper data transmission, and affect the quality of internet services

An energy‐aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things‐enabled wireless sensor network

An <scp>energy‐aware</scp> software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things‐enabled wireless sensor network

ANALISIS KUALITAS JARINGAN PADA LAYANAN INDIHOME UNTUK GAME ONLINE

The use and utilization of the Internet network is not only limited to its use for internet needs for social media but also for entertainment such as playing games such as the online game Valorant. The need for good network quality is very necessary to be able to play Valorant well. The purpose of this research is to determine the network quality of internet service provided by Indihome as one of the internet service providers (ISP) in Indonesia when playing the online game Valorant. With measurements using LAN cables and wireless at a speed of 50 Mbps using 2 laptop devices with the Indihome network. Measuring only the Delay and Packet Loss parameters using the Wireshark application, as well as measuring the Throughput parameters for the bandwidth requirements of the Valorant online game using the Netlimiter application for 4 weeks on Mondays and Wednesdays on weekdays and also weekends. The results of this test are the highest values of delay and packet loss for cable use, namely 6.81 ms and 0.285% and the highest values of delay and packet loss for wireless use, namely 6.15 ms and 0.548%. Where in testing the Quality of Service (QoS) value of the Indihome network when using cable and wireless, namely delay and packet loss, it shows good values compared to the TIPHON standard.

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students' intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis (CFA) to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling (SEM). It was divulged that e-Learning usage intention (BI) is influenced by attitude (ATT), perceived usefulness (PU), students' online learning satisfaction (SOS) and subjective norms (SN). But perceived ease of use (PEU) and system quality (SQ), internet service quality (ISQ) and perceived behavioral control (PBC) do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

Measuring incumbent ISP response to municipal broadband opt-out referenda in Colorado

This paper examines how the quality of Internet service from existing providers is affected when voters in Colorado approve referenda eliminating a barrier to their local governments providing broadband service. Using a difference-in-differences framework, the research design exploits variation in the timing of a community’s approval of a referendum in order to examine whether incumbent private providers adjust their speed offerings in response to the signal that public entry is more likely. Faster upgrades could suggest that incumbents do so to deter public entry or that potential competition is quality-enhancing. Slower upgrades could suggest that public entry threats deter investment in quality. I find no evidence that cable providers’ upgrading behavior responds to the passage of a referendum. However, after a municipality passes a referendum, the largest DSL provider in the state offers speeds in that local area 11%–26% lower than what they would have been otherwise. I find weak evidence that small-time DSL providers substantially upgrade speeds after a referendum passes. Analyses of a referendum’s effect on subscription rates are inconclusive.

FTTH NETWORK DISTURBANCE ANALYSIS BASED ON ATTENUATION AND RECEPTION POWER ON THE INDIHOME SINGKAWANG NETWORK

Optical fiber is a transmission medium that allows it to meet human needs to be able to transfer data faster because it uses light as a conductor. There is a damping problem in optical fiber, it needs to be accommodated so as to minimize the occurrence of attenuation in optical fiber. With this research, it can be known the magnitude of the value of a fiber optic transmission attenuation through the method of measuring attenuation values and receiving power at the customer's home using OPM, identifying fiber optic channel attenuation that affects the quality of internet services, and knowing the comparison of OPM measurement results with OT data reading. This study uses an analytical descriptive approach where the research will describe what it is about a variable that is processed, as well as the symptoms and conditions to be identified. So the results of the study can be obtained, namely, the amount of attenuation measured in the customer's home is influenced by the attenuation measured in ODP. Attenuation at ODP is small with an average optical power value of -18.39 dB, this makes attenuation in customers' homes, namely ONT, tend to be smaller with an average optical power value of -20.04 dB. There is an additional value of -1.65 dB per transmission. So it is known that the longer the cable used for fiber optic transmission, the greater the attenuation produced so that the optical power emitted by the sender will weaken along with the length of the cable. This is what will affect the quality of internet services.

Data Visualization Based On Sentiment Analysis to Identify the Quality of Internet Service Providers in Malaysia

Nowadays, most of the people have subscribed to their own internet service providers. However, due to slow of speed, connectivity, quality, and customer satisfaction need a proper evaluation. In addition, the rate of internet adoption is still slow. This project aims to develop a web-based system of data visualization based on sentiment analysis of internet service providers in Malaysia. For the project methodology is conducted in three phases, which include studying the existing problem of the internet service providers in Malaysia, developing a web-based system of data visualization based on sentiment analysis, and the evaluation of the usability of the system. The System Development Life Cycle (SDLC) has been used in this project which are analysis, design, implementation, testing, maintenance, and usability. The quality of internet services is a crucial factor in determining the satisfaction of customers in the telecommunications industry. The data visualization system based on sentiment analysis can assist customers in making informed decisions when choosing the right Internet Service Provider (ISP) by providing a better understanding of the quality of internet services offered by different ISPs. The sentiment analysis approach also done by using the corpus-based approach. The evaluation of the usability result was done by 3 experts through questionnaires using the linear scale indicator to evaluate the usability of the system. The visualization of data is important which can help the user understand the information in detail.

Key variables to enhance the quality of internet service in a region of the interior of the Amazon

Competitiveness driven by technological, economic, social, and environmental factors has changed how customers purchase products and services. This research aimed to analyze variables to enhance the quality of the internet service in a region of the interior of the Amazon, considering the users’ perceptions. To this end, the survey was adopted as a research strategy, and the structural equation modeling method was used to validate the proposed conceptual model. To validate the model, a literature search was carried out, variables of the quality of internet services were selected, and a survey was carried out with users in a region in the interior of the Amazon, totaling 204 respondents. The averages of the variables indicated that the variables "navigation (speed and stability)," "service agility (repair)," and "user support (maintenance)" were the most important perceived in the opinion of internet service users in the region analyzed. On the other hand, those of less importance in the perception of the user were the variables “price of the service,” “warranty time” and “flexibility of the service (package options available).” As for the validated conceptual model, the importance of three relevant constructs was verified: sale, attendance and usability. From a theoretical point of view, the results achieved here can contribute to the expansion of debates in the area of quality in services, and from a practical point of view, the results contribute to the definition and elaboration of the strategic planning of managers involved in the area. Few studies discuss the quality of internet services in a specific region considered lacking in technological infrastructure, such as the interior of the Brazilian Amazon. Keywords: Internet services; quality management; quality in services; technological services; PLS-SEM

A Novel Routing Protocol-Based Data Transmission to Enhance the Quality of Service for Internet of Medical Things Using 5G

When it comes to improving people's health, various forms of smart city applications are put to use in the area of smart healthcare. Health care providers are increasingly using the internet of medical things (IoMT) as an environment of linked healthcare systems, computational capabilities, and health monitors to improve the quality of service (QoS). Smart healthcare devices transmit data to IoMT and it requires an efficient solution. IoMT's and 5G networks' importance necessitates the development and testing of a novel multi-hop reinforced clustering-based routing protocol (MRCRP) to improve health data transmission's QoS. Cluster head selection is carried out using an energy-efficient approach to enhance resource usage. Min-max normalization is used to transform original data into meaningful data for more analysis. Using principal component analysis (PCA), relevant features can be extracted. The proposed routing technique is then employed to effectively transmit the data. The suggested approach's performance measures, such as delay, throughput, energy consumption, and packet drop ratio are studied, as is a comparative analysis with standard routing protocols..

Analisis Quality of Service (QoS) Jaringan Internet Universitas Menggunakan Metode Hierarchical Token Bucket (HTB)

Qamarul Huda Badaruddin University is a private university located in Central Lombok Regency with an increasing number of students. Along with the increasing number of students, of course, the number of internet users on campus also increases, making traffic on the network more complex and requiring network management. Quality of Service (QoS) can be regarded as a terminology used to define the characteristics of a network service (Service) to find out how good the quality is in that service. With Quality of Service (QoS), bandwidth can be used optimally so as to improve the quality of internet services received by users. The application of appropriate bandwidth management needs to be done, one of which is using the HTB method, namely bandwidth management with bandwidth borrowing queuing techniques between classes or users. Which can allocate bandwidth according to the user's bandwidth requirements in accordance with the specified priority. The purpose of this study is to determine the Quality of Service (QoS) produced by the HTB method in conducting bandwidth management so as to improve existing internet services at Qamarul Huda Badaruddin University. The results of the Quality of Service (QoS) analysis based on the tests that have been carried out show that by applying the Hierarchical Token Bucket (HTB) method, satisfactory results are obtained, namely a value of 3.67. These results are obtained from the average test results on 4 parameters, namely delay, jitter, packet loss, and throughput.

Quality Analysis of Service Load Balancing Using PCC, ECMP, and NTH Methods

One of the solutions to get a better quality of internet service is to utilize load balancing technology. We can use more than one different ISP (Internet Service Provider) which is then balanced with load balancing technology, where this technique is used to distribute the traffic load on two or more connection lines in a balanced way so that traffic can run optimally, maximizing throughput, minimizing response time. and avoid overload on any of the connection lines. This study aims to determine the comparison of Quality of Service load balancing with the PCC, ECMP and NTH methods on Mikrotik. The test method uses the web application www.speedtest.cbn.id, www.fast.com (1 connection), the results will show ping, download speed, upload speed, and monitoring from the Mikrotik router side. The research stages used the Network Development Life Cycle method, namely analysis, design, prototype simulation, implementation, monitoring and management. The results of the research are in the form of a performance comparison between load balancing on 2 internet lines using the PCC, ECMP and NTH methods on the proxy router. Based on the tests carried out as a whole the load balance using the ECMP method is superior and more reliable in terms of failover effects.

Additive Metric Composition-Based Load Aware Reliable Routing Protocol for Improving the Quality of Service in Industrial Internet of Things

The Internet of Things (IoT) is the collection of low-power devices deployed in real-time applications like industries, health care and agriculture. The real-time applications must quickly sense, analyze and react to the data within a time frame. So the data’s should be transmitted without any delay. The Routing Protocol for Low-power and Lossy Networks (RPL) is used to route the data by finding the optimal path. RPL forward the data packets from source to destination based on the objective functions. The objective functions can be designed using different routing metrics and most of the existing objective functions are not designed based on the characteristics of IoT applications. The Industrial Internet of Things (IIoT) environment with real-time data transfer characteristic is considered for this proposed work. Packet loss, power depletion and load balancing are the problems faced by real-time environment. Neighbor Indexed based RPL (NI-RPL) is implemented in two steps to improve efficiency of RPL. First, based on the Received Signal Strength Indicator (RSSI) and path-cost the preferred-parent set is formed from the set of neighboring nodes. Second, the rank of the nodes from the preferred-parent set is calculated based on the Neighbor Index (NI), Expected Transmission count (ETX) and Residual Energy (RE), and then the best route is selected based on the rank. The NI is used to avoid congestion, the ETX and RE helps in improving the Quality of Service (QoS) and lifetime of the network. The proposed objective function, NI-RPL is compared with other objective functions. NI-RPL guarantees the delivery of real –time data with better QoS, because it has improved the packet delivery ratio by 3% to 5% and decreases latency by 7 to 12 seconds

СУЧАСНИЙ СТАН ФІНТЕХ-РИНКУ В УКРАЇНІ

The article analyzes the concept of financial technology as a driving force of innovation in the financial sector. It places the main emphasis on the fintech market as ecosystem that unites all participants of the financial market one hand, and a complex system that combines new technologies sectors, financial services, startups and related infrastructure on the other hand. We considered several main reasons which restrain Ukrainian fintech market development namely: imperfect state regulation of financial technologies, unfavorable investment climate in the country, insufficient and uneven development of the necessary infrastructure, quality and cost of Internet and mobile services, low level of patent activity, almost complete absence of breakthrough IT technologies, including in the field of FinTech. The article also highlights several factors which contributed to the development of fintech technologies in Ukraine and the emergence of new entities competing with commercial banks performing functions related to payments and money transfers on the financial market. The development of financial technologies in Ukraine is particularly noticeable in the last five years thanks to a number of following factors: the global economic crisis and its consequences, growth of global digitalization processes, active spread of the Internet, development of competition in financial markets, trend for innovation in this field, increasing requirements for ease of use products, quality and speed of obtaining information, successes of technological companies in other sectors of the economy. An analysis of fintech companies of Ukraine in areas of their activity shown that 23% of them had been created in 2020–2021 and belong to the Technology and Infrastructure industry. On of main reasons of such rapid grows was COVID-19 pandemic and quarantine restrictions, which in turn forced businesses to move to online and created a demand for products and services providing possibilities to carry out business in the digital field.

Factors affecting customers satisfaction on public internet service quality in Vietnam

Factors affecting customers satisfaction on public internet service quality in Vietnam

Packet Loss Characterization Using Cross Layer Information and HMM for Wi-Fi Networks.

Packet loss is a major problem for wireless networks and has significant effects on the perceived quality of many internet services. Packet loss models are used to understand the behavior of packet losses caused by several reasons, e.g., interferences, coexistence, fading, collisions, and insufficient/excessive memory buffers. Among these, the Gilbert-Elliot (GE) model, based on a two-state Markov chain, is the most used model in communication networks. However, research has proven that the GE model is inadequate to represent the real behavior of packet losses in Wi-Fi networks. In this last category, variables of a single network layer are used, usually the physical one. In this article, we propose a new packet loss model for Wi-Fi that simultaneously considers the temporal behavior of losses and the variables that describe the state of the network. In addition, the model uses two important variables, the signal-to-noise ratio and the network occupation, which none of the packet loss models available for Wi-Fi networks simultaneously take into account. The proposed model uses the well-known Hidden Markov Model (HMM), which facilitates training and forecasting. At each state of HMM, the burst-length of losses is characterized using probability distributions. The model was evaluated by comparing computer simulation and real data samples for validation, and using the log-log complementary distribution of burst-length. We compared the proposed model with competing models through the analysis of mean square error (MSE) using a validation sample collected from a real network. Results demonstrated that the proposed model outperforms the currently available models for packet loss in Wi-Fi networks.

Impact of Internet Service Quality on Customer Satisfaction Special Reference to Internet Service Providers During COVID – 19 Period

Customers may switch to a different service provider if they are displeased with the standard, hence tracking service quality is crucial for a firm. The influence of Internet Service Quality (ISQ) on Customer Satisfaction will be studied in detail by the researcher. The relevance of this study is highlighted by the current COVID-19 scenario in Sri Lanka, where government laws and restrictions have been implemented to promote work from home, online learning, and online entertainment. Previous research in other countries have looked at the impact of ISQ on customer satisfaction; however, to our knowledge, no such study has been conducted in Sri Lanka. Furthermore, earlier study looked at a variety of scenarios, including the discovery of research gaps; however, in the context of COVID-19, the research gaps were identified. Past research identifies the following factors which impact ISQ: Tangibility, Assurance, Empathy, Reliability, Responsiveness and Price. This study was carried out as a deductive study and a quantitative method was employed. The convenience sample approach was used to collect 505 responses by distributing a questionnaire survey to consumers in Sri Lanka's Western region. Statistical Package for Social Science (SPSS) version 23 was used to analyze the data. The studies indicated that Internet Service Quality and Customer Satisfaction had a favorable association. The study was also able to provide insights for ISP management by emphasizing areas of ISQ that can satisfy their customer base, as well as actions that might be implemented in response to the observed practice gaps.

Internet service quality, customer satisfaction and customer loyalty assessment in Burundian banking industry

Internet service quality, customer satisfaction and customer loyalty assessment in Burundian banking industry

Analisis Perbandingan Quality of Service (QOS) Jaringan 4G LTE Provider Digital Kota Tangerang

The telecommunication access needs is growing rapidly, this is directly proportional to the development of the modern technological which is very high. Tangerang city is the largest city in Banten with a large number of residents so that the need for internet services is quite high, in addition, Covid-19 pandemic encourages everyone to work from home raises awareness of the need for good and fast internet services to help the implementation of work smoothly, therefore it is necessary to test the quality of internet services provided by internet service providers can be considered in the selection of cellular operators for users and recommendations for improving service quality by ISP. Quality of service is the ability of a network to be able to provide good services, parameters include packet loss, throughput, delay and jitter. The research conducted on three digital provider namely By.U, Live on and MPWR. The tests conducted at five different locations and three different times using wireshark. The test results showed that the quality of internet service in fifth area was fairly good condition only that By.U had poor jitter values when streaming in the afternoon Cibodas and MPWR had a smaller throughput average value in Karawaci area.

Analysis of Customer Satisfaction and Internet Service Quality During the Covid 19 Pandemic in Sri Lanka

The tracking of Service Quality is an important consideration for a business as customers may go with an alternative service provider if they are dissatisfied with the standard. In particular we look at Internet Service Providers (ISP) and research the impact of Internet Service Quality (ISQ) on Customer Satisfaction. The prevailing COVID-19 situation in Sri Lanka reveals the importance of this study as governmentrules and regulations have been imposed to promote work from home, online learning and online entertainment. Previous studies have looked at the influence of ISQ on Customer Satisfaction in other countries – however to the best of our knowledge, no such evaluation has been done in Sri Lanka. Furthermore, in the context of COVID-19 the existing literature is lacking. Past research identifies the following factors which impact ISQ: Tangibility, Assurance, Empathy, Reliability, Responsiveness (Eze, et al., 2008) and Price (Joudeh &amp; Dandis, 2018). This study was carried out as a deductive study and a quantitative method was employed. Our sample included 500 respondents obtained from the convenience sampling method by distributing a questionnaire survey among university undergraduates within Sri Lanka. The findings revealed that there is a positive relationship between Internet Service Quality and Customer Satisfaction. The study was also able to extract insights for ISP managers by highlighting the aspects of ISQ which can satisfy their customer base as well as measures which could be taken with reference to the practice gaps identified.

QoS and Privacy-Aware Routing for 5G-Enabled Industrial Internet of Things: A Federated Reinforcement Learning Approach

The development and maturity of the fifth-generation (5G) wireless communication technology provides the industrial Internet of Things (IIoT) with ultra-reliable and low-latency communications and massive machine-type communications, and forms a novel IIoT architecture, 5G-IIoT. However, massive data transfer between interconnecting industrial devices also brings new challenges for the 5G-IIoT routing process in terms of latency, load balancing, and data privacy, which affect the development of 5G-IIoT applications. Moreover, the existing research works on IIoT routing mostly focus on the latency and the reliability of the routing, disregarding the privacy security in the routing process. To solve these problems, in this article, we propose a quality of service (QoS) and data privacy-aware routing protocol, named QoSPR, for 5G-IIoT. Specifically, we improve the community detection algorithm info-map to divide the routing area into optimal subdomains, based on which the deep reinforcement learning algorithm is applied to build the gateway deployment model for latency reduction and load-balancing improvement. To eliminate areal differences, while considering the privacy preservation of the routing data, the federated reinforcement learning is applied to obtain the universal gateway deployment model. Then, based on the gateway deployment, the QoS and data privacy-aware routing is accomplished by establishing communications along the load-balancing routes of the minimum latencies. The validation experiment is conducted on real datasets. The experiment results show that as a data privacy-aware routing protocol, the QoSPR can significantly reduce both average latency and maximum latency, while maintaining excellent load balancing in 5G-IIoT.