232 research outputs found
Predictive Monitoring of Business Processes
Modern information systems that support complex business processes generally
maintain significant amounts of process execution data, particularly records of
events corresponding to the execution of activities (event logs). In this
paper, we present an approach to analyze such event logs in order to
predictively monitor business goals during business process execution. At any
point during an execution of a process, the user can define business goals in
the form of linear temporal logic rules. When an activity is being executed,
the framework identifies input data values that are more (or less) likely to
lead to the achievement of each business goal. Unlike reactive compliance
monitoring approaches that detect violations only after they have occurred, our
predictive monitoring approach provides early advice so that users can steer
ongoing process executions towards the achievement of business goals. In other
words, violations are predicted (and potentially prevented) rather than merely
detected. The approach has been implemented in the ProM process mining toolset
and validated on a real-life log pertaining to the treatment of cancer patients
in a large hospital
On Evaluating Commercial Cloud Services: A Systematic Review
Background: Cloud Computing is increasingly booming in industry with many
competing providers and services. Accordingly, evaluation of commercial Cloud
services is necessary. However, the existing evaluation studies are relatively
chaotic. There exists tremendous confusion and gap between practices and theory
about Cloud services evaluation. Aim: To facilitate relieving the
aforementioned chaos, this work aims to synthesize the existing evaluation
implementations to outline the state-of-the-practice and also identify research
opportunities in Cloud services evaluation. Method: Based on a conceptual
evaluation model comprising six steps, the Systematic Literature Review (SLR)
method was employed to collect relevant evidence to investigate the Cloud
services evaluation step by step. Results: This SLR identified 82 relevant
evaluation studies. The overall data collected from these studies essentially
represent the current practical landscape of implementing Cloud services
evaluation, and in turn can be reused to facilitate future evaluation work.
Conclusions: Evaluation of commercial Cloud services has become a world-wide
research topic. Some of the findings of this SLR identify several research gaps
in the area of Cloud services evaluation (e.g., the Elasticity and Security
evaluation of commercial Cloud services could be a long-term challenge), while
some other findings suggest the trend of applying commercial Cloud services
(e.g., compared with PaaS, IaaS seems more suitable for customers and is
particularly important in industry). This SLR study itself also confirms some
previous experiences and reveals new Evidence-Based Software Engineering (EBSE)
lessons
Unified Management of Applications on Heterogeneous Clouds
La diversidad con la que los proveedores cloud ofrecen sus servicios, definiendo sus propias interfaces y acuerdos de calidad y de uso, dificulta la portabilidad y la interoperabilidad entre proveedores, lo que incurre en el problema conocido como el bloqueo del vendedor. Dada la heterogeneidad que existe entre los distintos niveles de abstracción del cloud, como IaaS y PaaS, hace que desarrollar aplicaciones agnósticas que sean independientes de los proveedores y los servicios en los que se van a desplegar sea aún un desafío. Esto también limita la posibilidad de migrar los componentes de aplicaciones cloud en ejecución a nuevos proveedores. Esta falta de homogeneidad también dificulta el desarrollo de procesos para operar las aplicaciones que sean robustos ante los errores que pueden ocurrir en los distintos proveedores y niveles de abstracción. Como resultado, las aplicaciones pueden quedar ligadas a los proveedores para las que fueron diseñadas, limitando la capacidad de los desarrolladores para reaccionar ante cambios en los proveedores o en las propias aplicaciones. En esta tesis se define trans-cloud como una nueva dimensión que unifica la gestión de distintos proveedores y niveles de servicios, IaaS y PaaS, bajo una misma API y hace uso del estándar TOSCA para describir aplicaciones agnósticas y portables, teniendo procesos automatizados, por ejemplo para el despliegue. Por otro lado, haciendo uso de las topologías estructuradas de TOSCA, trans-cloud propone un algoritmo genérico para la migración de componentes de aplicaciones en ejecución. Además, trans-cloud unifica la gestión de los errores, permitiendo tener procesos robustos y agnósticos para gestionar el ciclo de vida de las aplicaciones, independientemente de los proveedores y niveles de servicio donde se estén ejecutando. Por último, se presentan los casos de uso y los resultados de los experimentos usados para validar cada una de estas propuestas
Size Matters: Microservices Research and Applications
In this chapter we offer an overview of microservices providing the
introductory information that a reader should know before continuing reading
this book. We introduce the idea of microservices and we discuss some of the
current research challenges and real-life software applications where the
microservice paradigm play a key role. We have identified a set of areas where
both researcher and developer can propose new ideas and technical solutions.Comment: arXiv admin note: text overlap with arXiv:1706.0735
Business Process Configuration According to Data Dependency Specification
Configuration techniques have been used in several fields, such as the design of business
process models. Sometimes these models depend on the data dependencies, being easier to describe
what has to be done instead of how. Configuration models enable to use a declarative representation
of business processes, deciding the most appropriate work-flow in each case. Unfortunately,
data dependencies among the activities and how they can affect the correct execution of the process,
has been overlooked in the declarative specifications and configurable systems found in the literature.
In order to find the best process configuration for optimizing the execution time of processes according
to data dependencies, we propose the use of Constraint Programming paradigm with the aim of
obtaining an adaptable imperative model in function of the data dependencies of the activities
described declarative.Ministerio de Ciencia y Tecnología TIN2015-63502-C3-2-RFondo Europeo de Desarrollo Regiona
Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to
estimate case or event features for running process instances. Such predictions
are of significant interest to the process stakeholders. However,
state-of-the-art methods for predictive monitoring require the training of
complex machine learning models, which is often inefficient. This paper
proposes an instance selection procedure that allows sampling training process
instances for prediction models. We show that our sampling method allows for a
significant increase of training speed for next activity prediction methods
while maintaining reliable levels of prediction accuracy.Comment: 7 pages, 1 figure, 4 tables, 34 reference
Un método de evaluación de usabilidad de mashups basado en la composicionalidad de sus componentes
[ES] Los Mashups son una nueva generación de aplicaciones Web que integran componentes provistos por terceros desde la Web. La usabilidad en este tipo de aplicaciones es un factor muy importante ya que como en toda aplicación Web, este determina el éxito de la aplicación. Si bien se han planteado métodos de evaluación que permiten evaluar la usabilidad de aplicaciones Web en general, éstos no cubren las características inherentes a la composicionalidad de los Mashups.
La presente tesina de máster pretende aportar un método de evaluación de la usabilidad de Mashups acorde con sus características propias de composicionalidad. El método está compuesto de un modelo de usabilidad y un proceso de evaluación que provee guías sobre la forma en la que el modelo de usabilidad puede ser usado para realizar evaluaciones específicas. Tanto el modelo de usabilidad como el proceso de evaluación están alineados con el último estándar ISO/IEC 25000 para la evaluación de la calidad de producto (SQuaRE) y ambos toman en cuenta la naturaleza composicional de los Mashups. El modelo de usabilidad descompone el concepto de usabilidad en sub-características y métricas genéricas. Estas métricas son aplicadas en la composición del producto final y el método de evaluación puede ser aplicado en cualquier estado del ciclo de vida de este tipo de aplicaciones, ya sea en la selección de los componentes, durante el proceso de composición o cuando el producto está listo para ser usado.
Para apoyar esta propuesta se ha realizado un profundo estudio del estado del arte. Este estudio comprende dos mapeos sistemáticos: el primero abarca un estudio de la evaluación de la calidad de los Mashups y el segundo cubre las características de la composicionalidad envueltas en los Mashups. Los resultados obtenidos aportaron de una forma significativa en la definición del Modelo de Usabilidad de Mashups y posteriormente en el proceso de evaluación de usabilidad.
Finalmente, se desarrollaron tres casos de estudio que muestran la viabilidad de nuestro enfoque. Estos casos de estudio muestran en detalle como el método de evaluación propuesto utiliza nuestro Modelo de Usabilidad para Mashups. Los resultados muestran que nuestra propuesta permite detectar problemas de usabilidad, los cuales una vez corregidos, permiten obtener Mashups más usables[EN] Mashups are the new-generation of Web applications that integrates third-party components from the Web. Usability in these applications is very important since their success depends on this quality factor. Although several methods have been proposed to evaluate the usability of Web applications in general, they do not cover the specific characteristics inherent to the compositionality of Mashups.
This master thesis aims to provide a method for evaluating the usability of Mashups according to their specific characteristics of compositionality. The method is composed of a usability model and an evaluation process that provides guidelines on how the usability model can be used to perform specific evaluations. Both the usability model and the evaluation process are aligned with the latest ISO/IEC 25000 standard for software product quality evaluation (SQuaRE), and both take into account the compositional nature of mashups. The usability model breaks down the concept of usability into sub-characteristics, attributes and generic metrics. These metrics are applied to the final product composition and process evaluation method can be applied at any stage of the life cycle of this kind of applications (i.e., during the component selection, the composition process or when the product is
ready for use.
In order to support the foundation of this proposal, an in-depth study was performed about the state of art. This study comprises two systematic mappings: the first one covers the quality evaluation of Mashups, whereas the second one covers the compositionality features involved in Mashups. The obtained results were used as input in order to define both our Mashups Usability Model, and our usability evaluation process.
Finally, we developed three case studies in order to show the feasibility of our approach. These case studies show in detail how the proposed evaluation method was followed by using our Mashup Usability Model. Results showed that our approach was able to detect usability problems, which once corrected, it allows obtaining more usable Mashups.Cedillo Orellana, IP. (2013). Un método de evaluación de usabilidad de mashups basado en la composicionalidad de sus componentes. http://hdl.handle.net/10251/37955Archivo delegad
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