Changes In Quality Of Service Research Articles

Quality of service management method in а heterogeneous wireless network using Big Data technology аnd mobile QoE application

Today, with the increasing number of business users and their changing Quality of Service (QoS) requirements, there is a problem for mobile network operators to provide individual acceptable Quality of Experience (QoE) to their customers due to the lack of flexibility, agility, and scalability of traditional networks. For this reason, the latest scientific works are increasingly focusing on resource management, considering users' QoE, replacing the traditional system-oriented approach based on QoS. However, this problem has not been fully solved so far, as there are no approaches that take into account the user's intentions regarding the individualization of the specific types of services at a particular time for heterogeneous mobile networks. Thus, the development of means of feedback between the user and the operator on the adaptation of the QoE level or their intentions under changing user requirements is one of the important and unresolved tasks for future networks at the moment. A conceptual model for the construction of an Intent-Based Software-Defined Heterogeneous Network (IBSDHN) is proposed. This model ensures efficient management of shared network resources, adapting to business users' changing QoS requirements. The prototype of a mobile and operator application for adaptive client-oriented service delivery in a heterogeneous wireless network is developed, which allows obtaining the ordered QoE based on the feedback between the user and the operator. A method for QoS management in a heterogeneous wireless network using Big Data technology and a unique mobile (QoE) application is proposed. In contrast to the known, this method analyzes ordered QoE scores of service from users and searches for the optimal radio access network that meets these requirements based on the predicted QoE values. The experimental study proved that using the proposed method in a heterogeneous wireless network would reduce the number of dissatisfied users with the QoS up to 60%.

Analisis Pengaruh Kualitas Layanan Terhadap Kepuasan Konsumen Pada Depot Aidrat Sunan Drajat Paciran Lamongan

This research was conducted to see and determine the effect of service quality on customer satisfaction at refill drinking water depots in Aidrat (Air Asli Sunan Drajat) Lamongan, there are several factors that consumers can consider in assessing a service provided by the company, according to Zeithaml, Berry and Parasuraman (1985) quoted in Tjiptono (2000: 27-28) succeeded in identifying five dimensions of service quality, namely tangibles, reliability, responsiveness, assurance, and empathy. Based on the results of the analysis that has been carried out on the effect of service quality (tangibles, reliability, responsiveness, assurance, and empathy) on consumer satisfaction at refill drinking water depots in Tirta Mulya, it can be concluded that based on the Multiple Regression Equation Analysis the result is Y = 2.047 + 0.441(X1)+ 0.113 (X2)+ 0.191 (X3) + 0.229 (X4) + 0.235 (X5). If the tangibles, reliability, responsiveness, assurance, and empathy variables are equal to zero, then the value of customer satisfaction is 2.047. If the quality of service changes by 1 then the tangibles variable will increase by 0.441%. Likewise for the reliability variable, which is equal to 0.113%. In contrast, the responsiveness, assurance, and empathy variables show positive parameters, namely 0.191%, 0.229%, and 0.235% respectively. This means that each addition of 1 variable will be followed by an increase in service quality. Based on the Coefficient of Determination Test (R2) the value of adjusted R is 0.961, this shows that 96.1% of customer satisfaction can be explained by the variables tangibles, reliability, responsiveness, assurance, and empathy. The remaining 3.9% is due to the influence of other variables not included in the model. Then based on the Simultaneous Test (F Test) Anova test it can be seen that the Fcount value is 461.654 > the Ftable value is 3.942, located in the rejection area so that Ho is rejected or Ha is accepted. It means that the tangibles, reliability, responsiveness, assurance, and empathy variables have a significant effect on the consumer satisfaction variable. And based on the Partial Test (t test) the results of testing the regression coefficient with tcount obtained the value of tcount tangibles of 4.473 (X1) > 1.661, reliability (X2) 2.053 > 1.661, responsiveness (X3) 3.083 > 1.661, assurance (X4) 4.718 > l1 .661, and empathy (X5) 5.325 > 1.661. Thus the variables tangibles, reliability, responsiveness, assurance, and empathy have a significant effect on consumer satisfaction variables.

Approach and impact of a protocol for selection of service in web service platform

Business agility is an important challenge while designing an enterprise application. Service oriented architecture is used to combine many outsourced web services to provide value added services to the users with agility. A service registry is maintained to keep track of various web service published by the service providers. The key challenge for the service requester is to pick the best web service among the various functionally equivalent web services in the service registry. This paper describes and analyses various service selection protocols given by the researchers. The approaches are classified into semantic and non-semantic approach. It also proposes a novel technique to look for the best web service based on QoS like reliability, throughput etc. The solution to the problem of selecting the best web service according to the requirements is designed as a fuzzy expert system. This rule based approach of Service registration and lookup is adaptive and responds dynamically to quality of service changes in the web services.