Modelo para la gestión de infraestructuras de tecnologías de la información

Currently, organizations face problems in order to introduce new information technologies. They include the misalignment between and complexity of information technology infrastructure and the business policies derived from different reference frameworks with insufficiencies for unification, the heterogeneity and dispersion of the elements to be managed, standardized management models with little integration with each other, and the inexactness of impact evaluation solutions. This paper presents an information technology infrastructure management model that aims to reduce complexity and misalignment in management. It is divided into five components: (1) comprehensive framework for Information Technology management adapted to organizational needs, (2) Information Technology policy-making based on the extrapolation of system architecture design methods, (3) sizing of the underlying infrastructure necessary to automate management and meet service quality needs, (4) implementation of policies in the underlying infrastructures and proposing changes to the management architecture based on policies, and (5) impact evaluation including the strategic, structural, and social impact.Entre los problemas actuales para la introducción de las tecnologías de la información en las organizaciones, se encuentran el desalineamiento y la complejidad existente entre las infraestructuras de tecnologías de la información y las políticas del negocio provocadas por múltiples marcos de referencia con insuficiencias para su unificación, la heterogeneidad y dispersión en los elementos a gestionar y los modelos de gestión estandarizados con poca integración entre ellos e inexactitud en las soluciones de evaluación de impacto. En el presente trabajo, se desarrolla un modelo para la gestión de infraestructuras de tecnologías de la información (mgiti) que contribuye a reducir la complejidad y el desalineamiento presentes en esta. Posee cinco componentes: marco integrado de procesos para la gestión de las de tecnologías de la información, contextualizado a las necesidades de las organizaciones; diseño de políticas de de tecnologías de la información a partir de la extrapolación de los métodos de diseño de arquitecturas de sistemas; dimensionamiento de la infraestructura subyacente necesaria para automatizar la gestión y cumplir las necesidades de calidad de servicio; ejecución de políticas en las infraestructuras subyacentes, con la propuesta de una modificación a la arquitectura de gestión basada en políticas; y, por último, evaluación de impacto, que contempla el impacto estratégico, estructural y social

Digital Twins and Blockchain for IoT Management

We live in a data-driven world powered by sensors getting data from anywhere at any time. This advancement is possible thanks to the Internet of Things (IoT). IoT embeds common physical objects with heterogeneous sensing, actuating, and communication capabilities to collect data from the environment and people. These objects are generally known as things and exchange data with other things, entities, computational processes, and systems over the internet. Consequently, a web of devices and computational processes emerges involving billions of entities collecting, processing, and sharing data. As a result, we now have an internet of entities/things that process and produce data, an ever-growing volume that can easily exceed petabytes. Therefore, there is a need for novel management approaches to handle the previously unheard number of IoT devices, processes, and data streams. This dissertation focuses on solutions for IoT management using decentralized technologies. A massive number of IoT devices interact with software and hardware components and are owned by different people. Therefore, there is a need for decentralized management. Blockchain is a capable and promising distributed ledger technology with features to support decentralized systems with large numbers of devices. People should not have to interact with these devices or data streams directly. Therefore, there is a need to abstract access to these components. Digital twins are software artifacts that can abstract an object, a process, or a system to enable communication between the physical and digital worlds. Fog/edge computing is the alternative to the cloud to provide services with less latency. This research uses blockchain technology, digital twins, and fog/edge computing for IoT management. The systems developed in this dissertation enable configuration, self-management, zero-trust management, and data streaming view provisioning from a fog/edge layer. In this way, this massive number of things and the data they produce are managed through services distributed across nodes close to them, providing access and configuration security and privacy protection