Browsing by Author "Chavez Zambrano, Kevin Eduardo"

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A Systematic Literature Review on Composition of Microservices through the Use of Semantic Annotations: Solutions and Techniques
(Institute of Electrical and Electronics Engineers Inc., 2019) Chavez Zambrano, Kevin Eduardo; Cedillo Orellana, Irene Priscila; Espinoza Mejía, Jorge Mauricio; Saquicela Galarza, Víctor Hugo
The aim of semantic web is to provide meaning to data shared by a network, therefore making it readable by humans and computer applications. The objective of this is to give the information and services a well-defined meaning by tagging web content with machine processable descriptions. Within the semantic web there are annotations, which relate data and classes offering a structured data. In addition, an ontology is an essential part of the semantic web, because it provides a vocabulary of terms and includes properties between concepts. There are several proposals over semantic annotations included in primary studies, but it is necessary to condense them in a secondary study, hence this paper presents a systematic literature review about the composition of microservices through the use of semantic annotations. This allows developers to determine which techniques are the most used in the semantic web. In order to perform this secondary study, the Kitchenham's methodology was applied. After its application, 68 articles were firstly obtained, once the inclusion and exclusion criteria was applied, only 39 studies were selected, which include automatic and manual review.
Towards the Evaluation of the Performance Efficiency of Fog Computing Applications
(Springer, 2021) Barzallo Sagbay, Ana Lucia
Nowadays, Cloud Computing represents an effective solution for organizations that need to adopt a model of elastic computing services and pay-as-you-go. However, in new domains, such as Cyber-Physical Systems and the Internet of Things (IoT), which manage large volumes of data, the time of latency in communication between the Cloud server and users, as well as data processing costs, can be a limitation. Therefore, it is proposed the Fog Computing architecture, which is used as a mediator among IoT devices that generate and demand data (e.g., cellphones, video cameras, sensors) and Cloud infrastructure. The purpose of Fog Computing is to relieve the Cloud server load and to delegate it to intermediate devices. In this context, it is essential to measure the performance to evaluate the solution and exploit all the advantages provided by Fog nodes. This paper presents a performance efficiency quality model for Fog Computing applications. The model breaks down in sub-characteristics and attributes with defined metrics and thresholds that should be used to evaluate these kinds of applications to understand how efficient is the use of computational resources (i.e., time, processing, memory). Also, it is offered an evaluation method that is supported by the quality model to assess the software development process for Fog Computing applications. The evaluation method is aligned with the ISO/IEC 25040 standard and indicates the developer steps towards a good quality Fog Computing solution.