Catálogo de publicaciones - revistas

<jats:p>Workflows are an application model that enables the automated execution of multiple interdependent and interconnected tasks. They are widely used by the scientific community to manage the distributed execution and dataflow of complex simulations and experiments. As the popularity of scientific workflows continue to rise, and their computational requirements continue to increase, the emergence and adoption of multi-tenant computing platforms that offer the execution of these workflows as a service becomes widespread. This article discusses the scheduling and resource provisioning problems particular to this type of platform. It presents a detailed taxonomy and a comprehensive survey of the current literature and identifies future directions to foster research in the field of multiple workflow scheduling in multi-tenant distributed computing systems.</jats:p>

<jats:p>Blockchains are a topic of immense interest in academia and industry, but their true nature is often obscured by marketing and hype. In this tutorial, we explain the fundamental elements of blockchains. We discuss their ability to achieve availability, consistency, and data integrity as well as their inherent limitations. Using Ethereum as a case study, we describe the inner workings of blockchains in detail before comparing blockchains to traditional distributed systems. In the second part of our tutorial, we discuss the major challenges facing blockchains and summarize ongoing research and commercial offerings that seek to address these challenges.</jats:p>

<jats:p>In this survey, 105 papers related to interactive clustering were reviewed according to seven perspectives: (1) on what level is the interaction happening, (2) which interactive operations are involved, (3) how user feedback is incorporated, (4) how interactive clustering is evaluated, (5) which data and (6) which clustering methods have been used, and (7) what outlined challenges there are. This article serves as a comprehensive overview of the field and outlines the state of the art within the area as well as identifies challenges and future research needs.</jats:p>

<jats:p> Digital games are a powerful means for creating enticing, beautiful, educational, and often highly addictive interactive experiences that impact the lives of billions of players worldwide. We explore what informs the design and construction of good games to learn how to speed-up game development. In particular, we study to what extent <jats:italic>languages</jats:italic> , <jats:italic>notations</jats:italic> , <jats:italic>patterns,</jats:italic> and <jats:italic>tools</jats:italic> , can offer experts theoretical foundations, systematic techniques, and practical solutions they need to raise their productivity and improve the quality of games and play. Despite the growing number of publications on this topic there is currently no overview describing the state-of-the-art that relates research areas, goals, and applications. As a result, efforts and successes are often one-off, lessons learned go overlooked, language reuse remains minimal, and opportunities for collaboration and synergy are lost. We present a systematic map that identifies relevant publications and gives an overview of research areas and publication venues. In addition, we categorize research perspectives along common objectives, techniques, and approaches, illustrated by summaries of selected languages. Finally, we distill challenges and opportunities for future research and development. </jats:p>

<jats:p>Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested.</jats:p>

<jats:p>Besides its NP-completeness, the strict constraints of subgraph isomorphism are making it impractical for graph pattern matching (GPM) in the context of big data. As a result, relaxed GPM models have emerged as they yield interesting results in a polynomial time. However, massive graphs generated by mostly social networks require a distributed storing and processing of the data over multiple machines, thus, requiring GPM to be revised by adopting new paradigms of big graphs processing, e.g., Think-Like-A-Vertex and its derivatives. This article discusses and proposes a classification of distributed GPM approaches with a narrow focus on the relaxed models.</jats:p>

<jats:p>Blockchain technology has been gaining visibility owing to its ability to enhance the security, reliability, and robustness of distributed systems. Several areas have benefited from research based on this technology, such as finance, remote sensing, data analysis, and healthcare. Data immutability, privacy, transparency, decentralization, and distributed ledgers are the main features that make blockchain an attractive technology. However, healthcare records that contain confidential patient data make this system very complicated because there is a risk of a privacy breach. This study aims to address research into the applications of the blockchain healthcare area. It sets out by discussing the management of medical information, as well as the sharing of medical records, image sharing, and log management. We also discuss papers that intersect with other areas, such as the Internet of Things, the management of information, tracking of drugs along their supply chain, and aspects of security and privacy. As we are aware that there are other surveys of blockchain in healthcare, we analyze and compare both the positive and negative aspects of their papers. Finally, we seek to examine the concepts of blockchain in the medical area, by assessing their benefits and drawbacks and thus giving guidance to other researchers in the area. Additionally, we summarize the methods used in healthcare per application area and show their pros and cons.</jats:p>

<jats:p>The abundance of interconnected data has fueled the design and implementation of graph generators reproducing real-world linking properties or gauging the effectiveness of graph algorithms, techniques, and applications manipulating these data. We consider graph generation across multiple subfields, such as Semantic Web, graph databases, social networks, and community detection, along with general graphs. Despite the disparate requirements of modern graph generators throughout these communities, we analyze them under a common umbrella, reaching out the functionalities, the practical usage, and their supported operations. We argue that this classification is serving the need of providing scientists, researchers, and practitioners with the right data generator at hand for their work. This survey provides a comprehensive overview of the state-of-the-art graph generators by focusing on those that are pertinent and suitable for several data-intensive tasks. Finally, we discuss open challenges and missing requirements of current graph generators along with their future extensions to new emerging fields.</jats:p>

<jats:p>Over the years, pervasive computing and communication technologies have enabled the emergence of new computing paradigms that have gained importance across a wide spectrum of domains. The three most notable that have witnessed significant advancements and have a solid track record of exponential growth in diverse applications are the Internet of Things (IoT), Cloud, and Mobile Computing. The ubiquity of these paradigms, their expandability, and applicability in different problem spaces have made them invaluable in modern computing solutions. Security becomes a real concern, especially when it comes to the development of applications in these environments, as numerous security issues may arise from potential design flaws. Secure application development across these three technologies can only be achieved when applications and systems are designed and developed with security in mind. This will improve the quality of the solutions and ensure that vulnerabilities are identified. It will also help in defining countermeasures against cyberattacks or mitigate the effects of potential threats to the systems. This article surveys existing approaches, tools, and techniques for attack and system modeling applicable to IoT, Cloud computing, and Mobile Computing. It also evaluates the strengths and limitations of the reviewed approaches and tools, from which it highlights the main existing challenges and open issues in the area.</jats:p>