scholarly journals Development of QoS Evaluation Algorithm for MQTT Protocol with Reference to Threat Model

MQTT protocol is publishing-subscribing model for IoT communication. In case of Quality of Services analysis, it is important to check the request and responses between publisher and subscriber. Any threat in communication channel is mostly leads to delay in operation. Hence, if we able to identify the delay parameter, we can suggest by means of QoS that there is a immediate need of security check for IoT system. As many IoT devices performed in unchecked, complicated, and often aggressive surroundings, safe-guarding IoT units present many different challenges. The key purpose for support quality degradation of IoT device interaction can be harmful attacks. Plenty of gadgets are often susceptible to port attacks/botnets hits, such as network attack events, which usually assessed by performing QoS Analysis. To start with factors affecting Quality of Services (QoS), in this paper we developed QoS evaluation algorithm “MQoS” for MQTT protocol and considered QoS-0 as an evaluation parameter. This paper refers the threat model which represents the flow of threats for proposed case study and can help to identify QoS by evaluating the possible communication threats. End–to-end device communication requests and responses are needed to be evaluated for large systems to get the actual QoS parameters for that system. For this reason the actual QoS tests will be conducted for third party applications.In this paper we presented results of MQTTv311 simulation for cooling sensor system.

Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.


2017 ◽  
Vol 187 ◽  
pp. 513-519
Author(s):  
Ieva Meidutė-Kavaliauskienė ◽  
Dragisa Stanujkic ◽  
Aidas Vasilis Vasiliauskas ◽  
Virgilija Vasilienė-Vasiliauskienė

2019 ◽  
Vol 1 (1) ◽  
pp. 85-92
Author(s):  
Robert Sałek

Abstract The issue of quality is a very important aspect of the operation of transport companies. In relation to the area of their activity it primarily focuses on the quality of services provided, which can be verified e.g. on the basis of timeliness of deliveries or accepted complaints. This allows for examining the quality after providing the service in order to take future pro-quality actions. However, is it possible to affect the quality of services provided before their provision? The transport process itself is preceded with a range of actions taken within the framework of detailed planning and organization, which can significantly influence the quality of services. The decisions made at the management level are conditioned by many factors determining the course of future events, however, this is not always enough to make the process run uninterruptedly. Therefore, it is important to structure basic actions at the initial stage so as to allow the smooth conduct of the decision-making process for the specific task in order to subsequently focus on the detailed analysis of the actions planned. In the paper, the author attempts to characterize the fundamental factors affecting the decisions taken during the planning and organization of the transport process. The objective of the conducted research is to verify initial decisions and their significance for the improvement in the quality of transport services provided. There was conducted the algorithmization of actions and interpretation of their importance for the quality of decisions taken at the preparatory stage and during transport.


2017 ◽  
Vol 13 (1-2) ◽  
pp. 34-42 ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh K. Singh ◽  
P.K. Suri

Due to wide growth of digitalisation and globalisation, organisations need to serve customer demand with quality services, domestically as well as globally. Organisations always preferred to outsource their supply chain and logistics operations to third-party logistics (3PL) for the purpose of timely delivery and better service quality. This article aimed to find out the key parameters that affect the quality of services provided by 3PL to the organisations. Assets, processes and services are the three broader categories desired by organisations at the time of selection of best 3PL. The evaluation of parameters under these categories has been done by using Analytical Hierarchical Process (AHP) and the ranking of parameters may help the organisations to make the best decision regarding selection of best 3PL among all the available alternatives.


Author(s):  
Berly Nisa Srimayarti ◽  
Devid Leonard ◽  
Dicho Zhuhriano Yasli

One of the benchmarks for assessing service performance in hospitals is efficiency in medical services. Measurement of service  efficiency will affect the quality of the hospital. Patients will consider the completeness of the service facilities they have and the quality of services to be obtained. This is due to the tendency of people to seek quality health services. Improving service quality standards in hospitals will have an impact on increasing income and getting recognition from the community for the quality of services in hospitals. This study aims to look at the determinant factors that affect hospital efficiency. This study uses a systematic review method based on the PRISMA protocol. Article searches were conducted through four online databases (PubMed, ProQuest, SAGE and SpingerLink). The initial search found 307 articles, filtered using inclusion criteria, so as many as 8 articles were analyzed with a time span of 2017-2021. The efficiency of health services in hospitals is the basis for obtaining a wider patient base and producing quality services. The results of the literature study show that there are 29 factors affecting hospital efficiency. The various factors obtained were categorized into organizational factors, health resource factors, and technical efficiency factors.


Diverse use of various heterogeneous devices in Internet of Things is providing challenges and several issues in Quality of services related to Internet of Things. This paper provides the overview of Internet of Things (IoT) and standards. Factors affecting the quality of services in communication. Standards used for communication in Internet of Things (IoT) are discussed and reviews related to it is presented. RabbitMQ implementation of AMQP as well popular standard like Kafka is discussed. Quantitative and Qualitative differences between RabbitMQ and Kafka is presented. We have also discussed similarities and dissimilarities of Message Queue Telemetry Transport (MQTT) and Advanced Message Queuing Protocol (AMQP) protocols. The main objective of this review is to provide critical review of a functional view of IoT architecture, protocols and standards.


2019 ◽  
Vol 1 (1) ◽  
pp. 8-12
Author(s):  
Putri Rahmawati Septya ◽  
Pramudya A Taufik ◽  
Zacky Yusuf

Competition between banks is currently very tight. To win the competition the bank must pay attention to the needs and desires of its customers. The quality of services and marketing programs is thought to play an important role in the growth of Third Party Funds. This study aims to examine the Effect of Service Quality and Marketing Programs on Third Party Funds at DKI Bank Sunter Branch. This research uses quantitative research methods by distributing questionnaires. The population of this research is all new customers in 2018 at DKI Bank  Branch Sunter, which numbered 1000 customers, with a sample of 150 respondents. The results showed that partially and simultaneously the quality of services and marketing programs had a significant effect on Third Party Funds


Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach’s Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer’s satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer’s satisfaction on service quality. The analysis results show that there is no difference between customer’s satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.


2012 ◽  
Vol 3 (4) ◽  
pp. 33-47 ◽  
Author(s):  
Socrates J. Moschuris ◽  
George F. Velis

Today, more firms are focusing on core competencies and turning to external specialists (Third Party Logistics – 3PLs) for sophisticated logistics solutions. The 3PL service industry is characterized by customer relationships that can extend over several years, involving multiple instances of service delivery. Customers’ satisfaction level has a profound impact on attracting new customers and customer retention. This research investigates customer perceptions regarding the service offered by a medium-sized 3PL operating in Greece. Results indicate that customers are satisfied with the outfit of personnel, adequacy of knowledge, speed of service, quality of services offered, and politeness of personnel at the point of sales as well as during the delivery. The major problem stated by the respondents was the long hold on time at the call center, which causes intensity and confusion among the customers.


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