Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service

Web service composition allows developers to create applications via reusing available services that are interoperable to each other. The process of selecting relevant Web services for a composite service satisfying the developer requirements is commonly acknowledged to be hard and challenging, especially with the exponentially increasing number of available Web services on the Internet. The majority of existing approaches on Web Services Selection are merely based on the Quality of Service (QoS) as a basic criterion to guide the selection process. However, existing approaches tend to ignore the service design quality, which plays a crucial role in discovering, understanding, and reusing service functionalities. Indeed, poorly designed Web service interfaces result in service anti-patterns, which are symptoms of bad design and implementation practices. The existence of anti-pattern instances in Web service interfaces typically complicates their reuse in real-world service-based systems and may lead to several maintenance and evolution problems. To address this issue, we introduce a new approach based on the Multi-Objective and Optimization on the basis of Ratio Analysis method (MOORA) as a multi-criteria decision making (MCDM) method to select Web services based on a combination of their (1) QoS attributes and (2) QoS design. The proposed approach aims to help developers to maintain the soundness and quality of their service composite development processes. We conduct a quantitative and qualitative empirical study to evaluate our approach on a Quality of Web Service dataset. We compare our MOORA-based approach against four commonly used MCDM methods as well as a recent state-of-the-art Web service selection approach. The obtained results show that our approach outperforms state-of-the-art approaches by significantly improving the service selection quality of top- k selected services while providing the best trade-off between both service design quality and desired QoS values. Furthermore, we conducted a qualitative evaluation with developers. The obtained results provide evidence that our approach generates a good trade-off for what developers need regarding both QoS and quality of design. Our selection approach was evaluated as “relevant” from developers point of view, in improving the service selection task with an average score of 3.93, compared to an average of 2.62 for the traditional QoS-based approach.

Hybrid scheduling algorithms in cloud computing: a review

<p><span>Cloud computing is one of the emerging fields in computer science due to its several advancements like on-demand processing, resource sharing, and pay per use. There are several cloud computing issues like security, quality of service (QoS) management, data center energy consumption, and scaling. Scheduling is one of the several challenging problems in cloud computing, where several tasks need to be assigned to resources to optimize the quality of service parameters. Scheduling is a well-known NP-hard problem in cloud computing. This will require a suitable scheduling algorithm. Several heuristics and meta-heuristics algorithms were proposed for scheduling the user's task to the resources available in cloud computing in an optimal way. Hybrid scheduling algorithms have become popular in cloud computing. In this paper, we reviewed the hybrid algorithms, which are the combinations of two or more algorithms, used for scheduling in cloud computing. The basic idea behind the hybridization of the algorithm is to take useful features of the used algorithms. This article also classifies the hybrid algorithms and analyzes their objectives, quality of service (QoS) parameters, and future directions for hybrid scheduling algorithms.</span></p>

Advanced Tensor Solution to the Problem of Inter-Domain Routing with Normalized Quality of Service

The advanced tensor solution to the problem of inter-domain routing with normalized Quality of Service under hierarchical coordination in a communication network is proposed in the paper. The novelty of the method based on the tensor model lies in the more flexible load balancing over the network due to the presence of requirements to average end-to-end delay of packets. The framework of the method comprises a decomposed flow-based routing model that includes the inter-domain routing interaction conditions and ensures the normalized Quality of Service derived from the tensor model. Considering the mentioned above, the advanced inter-domain Quality of Service routing task was formulated in the optimization form, using the quadratic optimality criterion. The conducted analysis of the numerical research results confirmed the efficiency and adequacy of the proposed method when the desired solutions were obtained during the finite number of iterations under a provision of the normalized Quality of Service. It should be noted that the reduced number of such iterations during the operation of the method will decrease the amount of service traffic transmitted over the network needed for obtaining the final solution in the process of inter-domain routing with normalized Quality of Service.

PENGARUH KUALITAS LAYANAN BERBASIS TEHNOLOGI INFORMASI (TI) TERHADAP KEPUASAN PELANGGAN PADA PERUSAHAAN DAERAH AIR MINUM (PDAM) KABUPATEN BONDOWOSO

Entities both business and public, will improve the quality of service with dimensions that are well applied so that it becomes the key to success in the business and public sector. Good quality service will provide customer satisfaction. Customer satisfaction is the key to business success. Related research to discuss and analyze the effect of services quality based on Information Technology to customer satisfaction of the Regional Water Supply Company of Bondowoso Regency. The data used in this study are primary data obtained through questionnaires. The population of this study is active customers in the service area of ​​the Regional Water Supply Company of Bondowoso Regency with a total sample of 100 people and accidental sampling. For data analysis, the authors used multiple linear regression analysis. Based on the results of the analysis, it can be stated that simultaneously Information Technology (IT) based service quality variables consisting of Reliability, Tangible, Assurance, Empaty and Responsiveness affect customer satisfaction in the Regional Water Supply Company (PDAM) of Bondowoso Regency. Partially, the variable quality of service based on Information Technology (IT) consisting of Reliability, Tangible, Assurance, and Responsiveness affects customer satisfaction in the Regional Water Supply Company (PDAM) of Bondowoso Regency. Where as the variable quality of service based on Information Technology (IT) measured by Empathy partially did not affect customer satisfaction in the Regional Water Supply Company (PDAM) of Bondowoso Regency. Variables in service quality based on Information Technology (IT) as measured by reliability are the dominant variables in influencing the level of customer satisfaction in the Regional Water Supply Company (PDAM) of Bondowoso Regency. Keywords: Service Quality, Reliability, Tangible, Assurance, Empaty Responsiveness, and Customer Satisfaction

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.

Analysis Of Factors Affecting Individual Taxpayers In Fulfilling The Obligation To Pay Taxes

The purpose of this study was to determine the variables that influence the willingness to pay taxes, namely awareness of paying taxes, knowledge and understanding of tax regulations, good perceptions of the tax system, and quality of service to taxpayers. The method used in this research is convenience sampling method. The conclusion in this study is that the variable awareness of paying taxes, knowledge and understanding of tax regulations, a good perception of the tax system, and the quality of service to taxpayers have a positive and significant influence on willingness to pay taxes at KPP Pratama Medan Belawan. taxes, knowledge and understanding of tax regulations, a good perception of the tax system, and the quality of service to taxpayers by 40.9% and the remaining 59.1% is influenced by other factors not examined in this study.

Plane-separated routing in ad-hoc networks

Control and user (data) plane separation (CUPS) is a concept applied in various networking areas to scale network resources independently, increase the quality of service, and facilitate the autonomy of networks. In this study, we leverage this concept to design a plane-separated routing algorithm, CUPS-based hierarchical routing algorithm (CHRA), as an energy-efficient and low-latency end-to-end communication scheme for clustered ad-hoc networks. In CHRA, while cluster heads constitute the control plane to conduct network discovery and routing, ordinary nodes residing in the user plane forward packets according to the routing decisions taken by the control plane. Exploiting the CUPS, we avoid exhausting cluster heads by offloading packet-forwarding to ordinary nodes and improve the quality of service by utilizing alternative paths other than the backbone of cluster heads. Our simulation results show that CHRA offers a better quality of service in terms of end-to-end latency and data-to-all ratio, and promotes fairness in energy-consumption in both stationary and mobile scenarios.