Agents, nodes & resources: Universal naming system for a coordination middleware

La tesi si propone di sviluppare un modello, l'architettura e la tecnologia per il sistema di denominazione del Middleware Coordinato TuCSoN, compresi gli agenti, i nodi e le risorse. Identità universali che rappresentano queste entità, sia per la mobilità fisica sia per quella virtuale, per un Management System (AMS, NMS, RMS) distribuito; tale modulo si occupa anche di ACC e trasduttori, prevedendo questioni come la tolleranza ai guasti, la persistenza, la coerenza, insieme con il coordinamento disincarnata in rete, come accade con le tecnologie Cloud. All’interno dell’elaborato, per prima cosa si è fatta una introduzione andando a descrivere tutto ciò che è contenuto nell’elaborato in modo da dare una visione iniziale globale del lavoro eseguito. Di seguito (1° capitolo) si è descritta tutta la parte relativa alle conoscenze di base che bisogna avere per la comprensione dell’elaborato; tali conoscenze sono relative a TuCSoN (il middleware coordinato con cui il modulo progettato dovrà interfacciarsi) e Cassandra (sistema server distribuito su cui si appoggia la parte di mantenimento e salvataggio dati del modulo). In seguito (2° capitolo) si è descritto JADE, un middleware da cui si è partiti con lo studio per la progettazione del modello e dell’architettura del modulo. Successivamente (3° capitolo) si è andati a spiegare la struttura e il modello del modulo considerato andando ad esaminare tutti i dettagli relativi alle entità interne e di tutti i legami fra esse. In questa parte si è anche dettagliata tutta la parte relativa alla distribuzione sulla rete del modulo e dei suoi componenti. In seguito (4° capitolo) è stata dettagliata e spiegata tutta la parte relativa al sistema di denominazione del modulo, quindi la sintassi e l’insieme di procedure che l’entità consumatrice esterna deve effettuare per ottenere un “nome universale” e quindi anche tutti i passaggi interni del modulo per fornire l’identificatore all’entità consumatrice. Nel capitolo successivo (5° capitolo) si sono descritti tutti i casi di studio relativi alle interazioni con le entità esterne, alle entità interne in caso in cui il modulo sia o meno distribuito sulla rete, e i casi di studio relativi alle politiche, paradigmi e procedure per la tolleranza ai guasti ed agli errori in modo da dettagliare i metodi di riparazione ad essi. Successivamente (6° capitolo) sono stati descritti i possibili sviluppi futuri relativi a nuove forme di interazione fra le entità che utilizzano questo modulo ed alle possibili migliorie e sviluppi tecnologici di questo modulo. Infine sono state descritte le conclusioni relative al modulo progettato con tutti i dettagli in modo da fornire una visione globale di quanto inserito e descritto nell’elaborato.

Automatic induction of lexical features

This thesis concerns artificially intelligent natural language processing systems that are capable of learning the properties of lexical items (properties like verbal valency or inflectional class membership) autonomously while they are fulfilling their tasks for which they have been deployed in the first place. Many of these tasks require a deep analysis of language input, which can be characterized as a mapping of utterances in a given input C to a set S of linguistically motivated structures with the help of linguistic information encoded in a grammar G and a lexicon L: G + L + C → S (1) The idea that underlies intelligent lexical acquisition systems is to modify this schematic formula in such a way that the system is able to exploit the information encoded in S to create a new, improved version of the lexicon: G + L + S → L' (2) Moreover, the thesis claims that a system can only be considered intelligent if it does not just make maximum usage of the learning opportunities in C, but if it is also able to revise falsely acquired lexical knowledge. So, one of the central elements in this work is the formulation of a couple of criteria for intelligent lexical acquisition systems subsumed under one paradigm: the Learn-Alpha design rule. The thesis describes the design and quality of a prototype for such a system, whose acquisition components have been developed from scratch and built on top of one of the state-of-the-art Head-driven Phrase Structure Grammar (HPSG) processing systems. The quality of this prototype is investigated in a series of experiments, in which the system is fed with extracts of a large English corpus. While the idea of using machine-readable language input to automatically acquire lexical knowledge is not new, we are not aware of a system that fulfills Learn-Alpha and is able to deal with large corpora. To instance four major challenges of constructing such a system, it should be mentioned that a) the high number of possible structural descriptions caused by highly underspeci ed lexical entries demands for a parser with a very effective ambiguity management system, b) the automatic construction of concise lexical entries out of a bulk of observed lexical facts requires a special technique of data alignment, c) the reliability of these entries depends on the system's decision on whether it has seen 'enough' input and d) general properties of language might render some lexical features indeterminable if the system tries to acquire them with a too high precision. The cornerstone of this dissertation is the motivation and development of a general theory of automatic lexical acquisition that is applicable to every language and independent of any particular theory of grammar or lexicon. This work is divided into five chapters. The introductory chapter first contrasts three different and mutually incompatible approaches to (artificial) lexical acquisition: cue-based queries, head-lexicalized probabilistic context free grammars and learning by unification. Then the postulation of the Learn-Alpha design rule is presented. The second chapter outlines the theory that underlies Learn-Alpha and exposes all the related notions and concepts required for a proper understanding of artificial lexical acquisition. Chapter 3 develops the prototyped acquisition method, called ANALYZE-LEARN-REDUCE, a framework which implements Learn-Alpha. The fourth chapter presents the design and results of a bootstrapping experiment conducted on this prototype: lexeme detection, learning of verbal valency, categorization into nominal count/mass classes, selection of prepositions and sentential complements, among others. The thesis concludes with a review of the conclusions and motivation for further improvements as well as proposals for future research on the automatic induction of lexical features.

SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients

SMARTDIAB is a platform designed to support the monitoring, management, and treatment of patients with type 1 diabetes mellitus (T1DM), by combining state-of-the-art approaches in the fields of database (DB) technologies, communications, simulation algorithms, and data mining. SMARTDIAB consists mainly of two units: 1) the patient unit (PU); and 2) the patient management unit (PMU), which communicate with each other for data exchange. The PMU can be accessed by the PU through the internet using devices, such as PCs/laptops with direct internet access or mobile phones via a Wi-Fi/General Packet Radio Service access network. The PU consists of an insulin pump for subcutaneous insulin infusion to the patient and a continuous glucose measurement system. The aforementioned devices running a user-friendly application gather patient's related information and transmit it to the PMU. The PMU consists of a diabetes data management system (DDMS), a decision support system (DSS) that provides risk assessment for long-term diabetes complications, and an insulin infusion advisory system (IIAS), which reside on a Web server. The DDMS can be accessed from both medical personnel and patients, with appropriate security access rights and front-end interfaces. The DDMS, apart from being used for data storage/retrieval, provides also advanced tools for the intelligent processing of the patient's data, supporting the physician in decision making, regarding the patient's treatment. The IIAS is used to close the loop between the insulin pump and the continuous glucose monitoring system, by providing the pump with the appropriate insulin infusion rate in order to keep the patient's glucose levels within predefined limits. The pilot version of the SMARTDIAB has already been implemented, while the platform's evaluation in clinical environment is being in progress.

A communication and information technology infrastructure for real time monitoring and management of type 1 diabetes patients

This paper is focused on the integration of state-of-the-art technologies in the fields of telecommunications, simulation algorithms, and data mining in order to develop a Type 1 diabetes patient's semi to fully-automated monitoring and management system. The main components of the system are a glucose measurement device, an insulin delivery system (insulin injection or insulin pumps), a mobile phone for the GPRS network, and a PDA or laptop for the Internet. In the medical environment, appropriate infrastructure for storage, analysis and visualizing of patients' data has been implemented to facilitate treatment design by health care experts.

System Architecture of a Mixed Reality Framework

In this paper the software architecture of a framework which simplifies the development of applications in the area of Virtual and Augmented Reality is presented. It is based on VRML/X3D to enable rendering of audio-visual information. We extended our VRML rendering system by a device management system that is based on the concept of a data-flow graph. The aim of the system is to create Mixed Reality (MR) applications simply by plugging together small prefabricated software components, instead of compiling monolithic C++ applications. The flexibility and the advantages of the presented framework are explained on the basis of an exemplary implementation of a classic Augmented Realityapplication and its extension to a collaborative remote expert scenario.

Rollout of CampusContent

CampusContent (CC) is a DFG-funded competence center for eLearning with its own portal. It links content and people who support sharing and reuse of high quality learning materials and codified pedagogical know-how, such as learning objectives, pedagogical scenarios, recommended learning activities, and learning paths. The heart of the portal is a distributed repository whose contents are linked to various other CampusContent portals. Integrated into each portal are user-friendly tools for designing reusable learning content, exercises, and templates for learning units and courses. Specialized authoring tools permit the configuration, adaption, and automatic generation of interactive Flash animations using Adobe's Flexbuilder technology. More coarse-grained content components such as complete learning units and entire courses, in which contents and materials taken from the repository are embedded, can be created with XML-based authoring tools. Open service interface allow the deep or shallow integration of the portal provider's preferred authoring and learning tools. The portal is built on top of the Enterprise Content Management System Alfresco, which comes with social networking functionality that has been adapted to accommmodate collaboration, sharing and reuse within trusted communities of practice.

“Advertising Psychology – The Blog Seminar”.

The aim of the web-based course “Advertising Psychology – The Blog Seminar” was to offer a contemporary teaching design using typical Web 2.0 characteristics such as comments, discussions and social media integration which covers facebook and Twitter support, as nowadays, this is a common part of students’ everyday life. This weblog (blog)-based seminar for Advertising Psychology was set up in order to make the course accessible to students from different campuses in the Ruhr metropolitan area. The technical aspect of the open-source content management system Drupal 6.0 and the didactical course structure, based on Merrill’s five first principles of instruction, are introduced. To date, this blog seminar has been conducted three times with a total of 84 participants, who were asked to rate the course according to the benefits of different didactical elements and with regard to Kirkpatrick’s levels of evaluation model. This model covers a) reactions such as reported enjoyment, perceived usefulness and perceived difficulty, and b) effects on learning through the subjectively reported increase in knowledge and attitude towards the seminar. Overall, the blog seminar was evaluated very positively and can be considered as providing support for achieving the learning objectives. However, a successful blended learning approach should always be tailored to the learning contents and the environment.

The Position of xMOOCs in Educational Systems

The idea of xMOOCs initially aimed at fundamentally changing the US tertiary education system by providing open mass education. This attempt failed for a number of reasons. They include: the ignorance of the importance and benefits of face-to-face instruction, the high workload imposed on students by xMOOCs, the consequences of current xMOOC didactics, the financing of the high costs, and the difficulties of integration into the teaching organization. As a consequence, xMOOCs are turning into methods for professional continuing education including a business model that covers the institution’s cost.

(Lifelong) learning in your pocket?

Der Beitrag fokussiert die Entwicklung, den Einsatz und die Nutzung von innovativen Technologien zur Unterstützung von Bildungsszenarien in Schule, Hochschule und Weiterbildung. Ausgehend von den verschiedenen Phasen des Corporate Learning, Social Learning, Mobile Learning und Intelligent Learning wird in einem ersten Abschnitt das Nutzungsverhalten von Technologien durch Kinder, Jugendliche und (junge) Erwachsene in Schule, Studium und Lehre betrachtet. Es folgt die Darstellung technologischer Entwicklungen auf Basis des Technology Life Cycle und die Konsequenzen von unterschiedlichen Entwicklungszuständen und Reifegraden von Technologien wie Content Learning Management, sozialen Netzwerken, mobilen Endgeräten, multidimensionalen und -modalen Räumen bis hin zu Anwendungen augmentierter Realität und des Internets der Dinge, Dienste und Daten für den Einsatz und die Nutzung in Bildungsszenarien. Nach der Darstellung von Anforderungen an digitale Technologien hinsichtlich Inhalte, Didaktik und Methodik wie etwa hinsichtlich der Erstellung von Inhalten, deren Wiederverwendung, Digitalisierung und Auffindbarkeit sowie Standards werden methodische Hinweise zur Nutzung digitaler Technologien zur Interaktion von Lernenden, von Lehrenden, sozialer Interaktion, kollaborativem Autorieren, Kommentierung, Evaluation und Begutachtung gegeben. Abschließend werden - differenziert für Schule und Hochschule - Erkenntnisse zu Rahmenbedingungen, Einflussgrößen, hemmenden und fördernden Faktoren sowie Herausförderungen bei der Einführung und nachhaltigen Implementation digitaler Technologien im schulischen Unterricht, in Lehre, Studium und Weiterbildung im Überblick zusammengefasst.

Integrating the Use of Spring- and Fall-Calving Beef Cows in a Year-round Grazing System (A Progress Report)

Animal production, hay production and feeding, and the yields and composition of forage from summer and winter grass-legume pastures and winter corn crop residue fields from a year-round grazing system were compared with those of a conventional system. The year-round grazing system utilized 1.67 acres of smooth bromegrass-orchardgrass-birdsfoot trefoil pasture per cow in the summer, and 1.25 acres of stockpiled tall fescue-red clover pasture per cow, 1.25 acres of stockpiled smooth bromegrass-red clover pasture per cow, and 1.25 acres of corn crop residues per cow during winter for spring- and fall-calving cows and stockers. First-cutting hay was harvested from the tall fescue-red clover and smooth bromegrass-red clover pastures to meet supplemental needs of cows and calves during winter. In the conventional system (called the minimal land system), spring-calving cows grazed smooth bromegrass-orchardgrass-birdsfoot trefoil pastures at 3.33 acres/cow during summer with first cutting hay removed from one-half of these acres. This hay was fed to these cows in a drylot during winter. All summer grazing was done by rotational stocking for both systems, and winter grazing of the corn crop residues and stockpiled forages for pregnant spring-calving cows and lactating fall-calving cows in the year-round system was managed by strip-stocking. Hay was fed to springcalving cows in both systems to maintain a mean body condition score of 5 on a 9-point scale, but was fed to fall-calving cows to maintain a mean body condition score of greater than 3. Over winter, fall-calving cows lost more body weight and condition than spring calving cows, but there were no differences in body weight or condition score change between spring-calving cows in either system. Fall- and spring-calving cows in the yearround grazing system required 934 and 1,395 lb. hay dry matter/cow for maintenance during the winter whereas spring-calving cows in drylot required 4,776 lb. hay dry matter/cow. Rebreeding rates were not affected by management system. Average daily gains of spring-born calves did not differ between systems, but were greater than fall calves. Because of differences in land areas for the two systems, weight production of calves per acre of cows in the minimal land system was greater than those of the year-round grazing system, but when the additional weight gains of the stocker cattle were considered, production of total growing animals did not differ between the two systems.

Key Aspects Affecting Students’ Perception Regarding the Instructional Quality of Online and Web Based Courses

This study assessed the perceptions of college students regarding the instructional quality of online and web based courses via a content management system. [See PDF for complete abstract]

Results-oriented management though MBO.

Management by Objectives (MBO) as it has been implemented in the Houston Academy of Medicine--Texas Medical Center Library is described. That MBO must be a total management system and not just another library program is emphasized throughout the discussion and definitions of the MBO system parts: (1) mission statement; (2) role functions; (3) role relationships; (4) effectiveness areas; (5) objective; (6) action plans; and (7) performance review and evaluation. Examples from the library's implementation are given within the discussion of each part to give the reader a clearer picture of the library's actual experiences with the MBO process. Tables are included for further clarification. In conclusion some points are made which the author feels are particularly crucial to any library MBO implementation.

Service Level Agreements-Driven Management of Distributed Applications in Cloud Computing Environments

Cloud Computing enables provisioning and distribution of highly scalable services in a reliable, on-demand and sustainable manner. However, objectives of managing enterprise distributed applications in cloud environments under Service Level Agreement (SLA) constraints lead to challenges for maintaining optimal resource control. Furthermore, conflicting objectives in management of cloud infrastructure and distributed applications might lead to violations of SLAs and inefficient use of hardware and software resources. This dissertation focusses on how SLAs can be used as an input to the cloud management system, increasing the efficiency of allocating resources, as well as that of infrastructure scaling. First, we present an extended SLA semantic model for modelling complex service-dependencies in distributed applications, and for enabling automated cloud infrastructure management operations. Second, we describe a multi-objective VM allocation algorithm for optimised resource allocation in infrastructure clouds. Third, we describe a method of discovering relations between the performance indicators of services belonging to distributed applications and then using these relations for building scaling rules that a CMS can use for automated management of VMs. Fourth, we introduce two novel VM-scaling algorithms, which optimally scale systems composed of VMs, based on given SLA performance constraints. All presented research works were implemented and tested using enterprise distributed applications.

Service level agreements-driven management of distributed applications in cloud computing environments

Advancements in cloud computing have enabled the proliferation of distributed applications, which require management and control of multiple services. However, without an efficient mechanism for scaling services in response to changing workload conditions, such as number of connected users, application performance might suffer, leading to violations of Service Level Agreements (SLA) and possible inefficient use of hardware resources. Combining dynamic application requirements with the increased use of virtualised computing resources creates a challenging resource Management context for application and cloud-infrastructure owners. In such complex environments, business entities use SLAs as a means for specifying quantitative and qualitative requirements of services. There are several challenges in running distributed enterprise applications in cloud environments, ranging from the instantiation of service VMs in the correct order using an adequate quantity of computing resources, to adapting the number of running services in response to varying external loads, such as number of users. The application owner is interested in finding the optimum amount of computing and network resources to use for ensuring that the performance requirements of all her/his applications are met. She/he is also interested in appropriately scaling the distributed services so that application performance guarantees are maintained even under dynamic workload conditions. Similarly, the infrastructure Providers are interested in optimally provisioning the virtual resources onto the available physical infrastructure so that her/his operational costs are minimized, while maximizing the performance of tenants’ applications. Motivated by the complexities associated with the management and scaling of distributed applications, while satisfying multiple objectives (related to both consumers and providers of cloud resources), this thesis proposes a cloud resource management platform able to dynamically provision and coordinate the various lifecycle actions on both virtual and physical cloud resources using semantically enriched SLAs. The system focuses on dynamic sizing (scaling) of virtual infrastructures composed of virtual machines (VM) bounded application services. We describe several algorithms for adapting the number of VMs allocated to the distributed application in response to changing workload conditions, based on SLA-defined performance guarantees. We also present a framework for dynamic composition of scaling rules for distributed service, which used benchmark-generated application Monitoring traces. We show how these scaling rules can be combined and included into semantic SLAs for controlling allocation of services. We also provide a detailed description of the multi-objective infrastructure resource allocation problem and various approaches to satisfying this problem. We present a resource management system based on a genetic algorithm, which performs allocation of virtual resources, while considering the optimization of multiple criteria. We prove that our approach significantly outperforms reactive VM-scaling algorithms as well as heuristic-based VM-allocation approaches.