Uma arquitetura para submissão de aplicações de dispositivos móveis e embarcados para uma configuração de grade computacional

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação

Sistema para gerência autonômica de grades computacionais: [dissertação]

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.As tecnologias de grades computacionais são largamente utilizadas como uma forma barata de agregar poder computacional. Estas estruturas ajudam a oferecer serviços, unindo equipamentos e compartilhando os recursos como se a rede fosse um único computador. Porém, a complexidade de gerenciamento aumenta à medida que a quantidade de recursos inseridos na grade cresce. Diante do exposto, a gerência manual dos ambientes de grades é inviável. Este ambiente necessita de métodos de gerência autonômica para oferecer disponibilidade, qualidade de serviço e configurações otimizadas. Este trabalho apresenta um sistema de gerência para ambientes de grade computacional baseada em elementos autonômicos, que visa fornecer ao sistema características de auto-gerenciamento. Também no escopo deste trabalho, são descritos detalhes da implementação do sistema proposto e a realização de estudos de caso em diferentes cenários. Grid computing technologies are being applied as an affordable method to cluster computational power together. These structures aim to support service applications by grouping devices and shared resources in one large computational unit. However, the management complexity grows proportionally to the number of resources being integrated. From a given point up, manual management of large grid structures is unfeasible. This scenario calls for automated management methods to support availability, quality of service and optimized configurations. This work presents the design of a grid computing management system based on autonomic elements, which aims to promote characteristics of self-management. In addition, it introduces a proof-of-concept implementation and case study scenarios

Dissociation and interpersonal autonomic physiology in psychotherapy research: an integrative view encompassing psychodynamic and neuroscience theoretical frameworks

Interpersonal autonomic physiology is an interdisciplinary research field, assessing the relational interdependence of two (or more) interacting individual both at the behavioral and psychophysiological levels. Despite its quite long tradition, only eight studies since 1955 have focused on the interaction of psychotherapy dyads, and none of them have focused on the shared processual level, assessing dynamic phenomena such as dissociation. We longitudinally observed two brief psychodynamic psychotherapies, entirely audio and video-recorded (16 sessions, weekly frequency, 45 min.). Autonomic nervous system measures were continuously collected during each session. Personality, empathy, dissociative features and clinical progress measures were collected prior and post therapy, and after each clinical session. Two-independent judges, trained psychotherapist, codified the interactions\u2019 micro-processes. Time-series based analyses were performed to assess interpersonal synchronization and de-synchronization in patient\u2019s and therapist\u2019s physiological activity. Psychophysiological synchrony revealed a clear association with empathic attunement, while desynchronization phases (range of length 30-150 sec.) showed a linkage with dissociative processes, usually associated to the patient\u2019s narrative core relational trauma. Our findings are discussed under the perspective of psychodynamic models of Stern (\u201cpresent moment\u201d), Sander, Beebe and Lachmann (dyad system model of interaction), Lanius (Trauma model), and the neuroscientific frameworks proposed by Thayer (neurovisceral integration model), and Porges (polyvagal theory). The collected data allows to attempt an integration of these theoretical approaches under the light of Complex Dynamic Systems. The rich theoretical work and the encouraging clinical results might represents a new fascinating frontier of research in psychotherapy

Empirically supported emerging and marginalized psychotherapies: Integration of non-concurrent multiple baseline design and hermeneutic single case efficacy design

According to APA division 12, at least two Randomized Clinical Trials (RCT) or alternatively nine Single Case Experimental Design (SCED) are required to be recognized as Empirically Supported Treatments (EST). Multiple baseline is the most suitable SCED in psychotherapy research because the treatment effects do not reverse after conclusion and do not require withdrawal in ABAB phases. Treatment's introduction is staggered sequentially across multiple participants, which allows the researcher to demonstrate that changes occur when treatment is introduced, simulating a waiting list. Hermeneutic Single Case Efficacy Design (HSCED) ensures time series analysis as the SCED, adding also qualitative and hermeneutic analysis that allow the recognition of bidirectional linkage between outcome and process variables. Furthermore, external judges assess the quality of the studies providing a verdict of good, mixed or poor outcome. To present systematic replication of multiple non-concurrent baseline HSCED as a way to empirically support both emerging and marginalized models of psychotherapy. After a phase of assessment and the collection of a stable three-point baseline, change in a convenience sample of five patients was tracked with quantitative (PHQ9, STAI, CORE-OM, PQ) and qualitative (HAT, CI) measures. Hermeneutic analysis and judge evaluation were conducted according HSCED protocol. Quantitative data show Clinical Significant and Global Reliable Change in all patients, supported by qualitative data. Hermeneutic analysis suggests specific outcome-to-process linkage and therapeutic interventions followed by shift in weekly outcome measures, supporting and refining the theoretical predictions of the manualized Intensive Transactional Analysis Psychotherapy. Combining multiple baseline design and HSCED, it is possible to support recognition as EST of emerging and marginalized treatments, involving less resources than RCT

SOGOS -- A Distributed Meta Level Architecture for the Self-Organizing Grid of Services

Handling highly dynamic scenarios as they arise in emergency situations requires lots of semantic information about the situation and an extremely flexible, selforganizing IT infrastructure that provides services that can be used to manage the situation. We show that a distributed meta level architecture is particularly suited for the implementation of such a self-organizing grid of services. This architecture (SOGOS) distinguishes between an object level and a meta level. The middle ware processes of the grid are running on the object level. The meta level defines an explicitly and declaratively represented dynamic meta model that provides the semantics for the object level processes. Additionally, this level runs processes that plan, supervise and control mobile agents on the object level. The levels are linked together by reflection processes that ensure that relevant changes on the object level are reflected in the meta model and vice versa. The corresponding reflection principles provide the basis for the implementation of the selforganizing mechanisms that govern the overall system