Towards a Self-Healing approach to sustain Web Services Reliability.

International audienceWeb service technology expands the role of the Web from a simple data carrier to a service provider. To sustain this role, some issues such as reliability continue to hurdle Web services widespread use, and thus need to be addressed. Autonomic computing seems offering solutions to the specific issue of reliability. These solutions let Web services self-heal in response to the errors that are detected and then fixed. Self-healing is simply defined as the capacity of a system to restore itself to a normal state without human intervention. In this paper, we design and implement a selfhealing approach to achieve Web services reliability. Two steps are identified in this approach: (1) model a Web service using two behaviors known as operational and control; and (2) monitor the execution of a Web service using a control interface that sits between these two behaviors. This control interface is implemented in compliance with the principles of aspect-oriented programming and case-based reasoning

PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN FAKULTAS EKONOMI DI UNIVERSITAS NEGERI JAKARTA

ABSTRACT MELVIDA DWI AGUSTYA. 8105132159. The Influence Of Service Quality To Customer Satisfaction Faculty Of Economics At Universitas Negeri Jakarta. Jakarta: Economic Education Study Program, Faculty of Economics, Jakarta State University, July 2017. This study aims to determine whether there is influence of service quality to customer satisfaction Faculty of Economics at Jakarta State University. This research was conducted for three months starting from April until June 2017. The research method used is survey method with quantitative approach. The population in this study is all students of Faculty of Economics, State University of Jakarta. The population of this research is 200 students of Faculty of Economics, State University of Jakarta. The sample used in this research is 127 students with 5% error rate based on Isaac and Michael table using Proportional Random Sampling technique. Data variable Y (Customer Satisfaction) instrument used is a questionnaire by using the Likert scale model. While the data variable X (Quality of Service) instrument used is a questionnaire using the Likert scale model. Prior to use, tested the validity of the construct (construct validity) through the validation process is the calculation of correlation coefficient score grain with total score and reliability test with Alpha Cronbach formula. The result of reliability of Y variable equal to 0,855 and prove that instrument is very high reliability while reliability variable X result 0,924 and prove that instrument have high reliability. Data analysis technique using Ms. program Excel starts with hypothesis testing and look for regression equation test that is simple linear regression having regression equation Y = 5,56 + 0,351X. Then look for test of normality of estimation error and yield Lcitung = 0,064 at significant level 0,05 with total sample 127, Ltabel = 0,079 then data is normal distribution. Then look for regression linierity test using distribution table F with dk of numerator (k-2) = 60 and dk denominator (nk) = 65 with a = 0,05 obtained Fhitung equal to 1,19 whereas Ftable equal to 1,52 this indicate that data It means linear regression. Hypothesis test that is F test in ANAVA table, this hypothesis test there is regression significance test known Fcount 90,29> Ftable 3,92 and calculation of correlation coefficient yielded rxy equal to 0,648. Furthermore, the significance test of correlation coefficient (t test) obtained t count 9,50> ttable 1,97. Then the determination coefficient test obtained results 41.94%, the remaining 58.06% influenced by other factors not examined. The conclusion of this research is there is a positive and significant influence between the quality of service to customer satisfaction Faculty of Economics at Jakarta State University. Keywords: Customer Satisfaction, Service Qualit

An Assessment of Customer Satisfaction with GSM Service Quality in Cross River State, Nigeria

This Study investigated the satisfaction of customers with the quality of services delivered by GSM firms operating in Cross River State. The purpose was to determine the influence of network quality, service charge, customer care support as independent variables on the dependent variable (Customer satisfaction). A conceptual model of customer satisfaction was developed for this study. Three hypotheses was formulated and tested for this study. Primary data were collected from 300 GSM subscribers drawn proportionally across the three geo-political zones of Cross River State. The questionnaire were validated through face, construct and content, and used for data collection. The reliability of the instrument was ascertained through split-half reliability estimate. The data were descriptively analyzed using tables and figures, while the Pearson product moment was adopted to test the hypotheses. It was found that all the research variables (network quality service charge and customer care support) had a high correlation with customer satisfaction. Arising from these finding, it was recommended that mobile operators should make a conscious effort to upgrade their mobile service equipment symbolic in their telecommunication services, by investing in the necessary material(s) that could boost call quality and coverage. It is also relevant that all the elements in a service quality programme be strictly implemented to the later. Assurance, reliability, empathy, tangibles, and responsiveness are equally important in satisfying customers Keywords: customer satisfaction, service quality, service charge, customer care and GSM service

Impact of target reliability of durability design on maintenance cost of reinforced concrete members in chloride environment

In reliability-based durability design of reinforced concrete (RC) structures, the depassivation of reinforcing steels is often taken as the durability limit state, and the target reliability index is a key parameter controlling the long-term durability performance of RC members. This study investigates the impact of target reliability of durability design in design phase on the life-cycle performance and the maintenance cost of RC structures. For this purpose, a chloride diffusion model for steel depassivation of RC members is firstly established; and then the cost models for maintenance of RC beam members are proposed. Based on the detailed section design and the durability limit state of steel depassivation, Monte-Carlo simulation is used to calculate the reliability index for the durability design of RC beam members; and then according to the defined maintenance inventions and associated costs, the maintenance costs for the whole service life are evaluated for different durability reliability indices. Finally, the impact of target reliability of durability design on the deterioration process and the maintenance cost is discussed

Combined classification and queuing system optimization approach for enhanced battery system maintainability, A

2022 Spring.Includes bibliographical references.Battery systems are used as critical power sources in a wide variety of advanced platforms (e.g., ships, submersibles, aircraft). These platforms undergo unique and extreme mission profiles that necessitate high reliability and maintainability. Battery system failures and non-optimal maintenance strategies have a significant impact on total fleet lifecycle costs and operational capability. Previous research has applied various approaches to improve battery system reliability and maintainability. Machine learning methodologies have applied data-driven and physics-based approaches to model battery decay and predict battery state-of-health, estimation of battery state-of-charge, and prediction of future performance. Queuing theory has been used to optimize battery charging resources ensure service and minimize cost. However, these approaches do not focus on pre-acceptance reliability improvements or platform operational requirements. This research introduces a two-faceted approach for enhancing the overall maintainability of platforms with battery systems as critical components. The first facet is the implementation of an advanced inspection and classification methodology for automating the acceptance/rejection decision for batteries prior to entering service. The purpose of this "pre-screening" step is to increase the reliability of batteries in service prior to deployment. The second facet of the proposed approach is the optimization of several critical maintenance plan design attributes for battery systems. Together, the approach seeks to simultaneously enhance both aspects of maintainability (inherent reliability and cost-effectiveness) for battery systems, with the goal of decreasing total lifecycle cost and increasing operational availability