931 resultados para Service Programming Environment
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Internet of Things (IoT) technologies are developing rapidly, and therefore there exist several standards of interconnection protocols and platforms. The existence of heterogeneous protocols and platforms has become a critical challenge for IoT system developers. To mitigate this challenge, few alliances and organizations have taken the initiative to build a framework that helps to integrate application silos. Some of these frameworks focus only on a specific domain like home automation. However, the resource constraints in the large proportion of connected devices make it difficult to build an interoperable system using such frameworks. Therefore, a general purpose, lightweight interoperability framework that can be used for a range of devices is required. To tackle the heterogeneous nature, this work introduces an embedded, distributed and lightweight service bus, Lightweight IoT Service bus Architecture (LISA), which fits inside the network stack of a small real-time operating system for constrained nodes. LISA provides a uniform application programming interface for an IoT system on a range of devices with variable resource constraints. It hides platform and protocol variations underneath it, thus facilitating interoperability in IoT implementations. LISA is inspired by the Network on Terminal Architecture, a service centric open architecture by Nokia Research Center. Unlike many other interoperability frameworks, LISA is designed specifically for resource constrained nodes and it provides essential features of a service bus for easy service oriented architecture implementation. The presented architecture utilizes an intermediate computing layer, a Fog layer, between the small nodes and the cloud, thereby facilitating the federation of constrained nodes into subnetworks. As a result of a modular and distributed design, the part of LISA running in the Fog layer handles the heavy lifting to assist the lightweight portion of LISA inside the resource constrained nodes. Furthermore, LISA introduces a new networking paradigm, Node Centric Networking, to route messages across protocol boundaries to facilitate interoperability. This thesis presents a concept implementation of the architecture and creates a foundation for future extension towards a comprehensive interoperability framework for IoT.
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Tässä diplomityössä tutkitaan strategian määrittämistä. Tutkimus keskittyy logistiikkapalvelualan yrityksen strategian uudistamiseen ja strategiatyön kehittämiseen. Tutkimus pyrkii selvittämään miten yritys pystyy parhaiten saavuttamaan strategiset tavoitteensa. Lisäksi pyritään selvittämään miten yritys pystyy luomaan ja ylläpitämään kilpailuetua. Tutkimus toteutetaan tutkimalla ensin strategiaa, strategiaprosessia ja logistiikkapalvelualan liiketoimintaa kirjallisuudessa. Empiirinen osuus toteutetaan pääosin yrityksen johtoryhmän jäsenten kanssa strategiatyöpajoissa. Yrityksen hallitus asettaa strategiset tavoitteet ja myös hyväksyy projektin eri vaiheiden tulokset. Strategisissa analyyseissä otetaan huomioon sekä ulkoinen että sisäinen näkökulma, jotta saadaan kattava kuva yrityksen liiketoimintaympäristöstä sekä yrityksen vahvuuksista ja heikkouksista. Analyysejä hyödynnetään strategisten vaihtoehtojen muodostamisessa sekä yritys- että liiketoimintatasolla. Strategiset valinnat tehdään sen perustella, miten eri strategiset vaihtoehdot tukevat asetettuja strategisia tavoitteita. Tutkimuksen tuloksena määritellään yrityksen strategia, joka myös dokumentoidaan. Lisäksi luodaan strategisen suunnittelun ja johtamisen prosessi, joka mahdollistaa reagoinnin liiketoimintaympäristössä tapahtuviin nopeisiin muutoksiin.
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Community service participation can have a positive impact on development, especially for youth. Although researchers have found positive outcomes, there has been a notable decline in youth participation over the past few years (Statistics Canada, 2000). Given the positive outcomes and current decline, it has been argued that youth should be encouraged to get involved in service activities. In the present study, quantitative and qualitative data were collected to determine factors that would help youth to initiate and sustain service, along with examining the quality of their experience. Eighty-two university undergraduate students (23 men), ranging in age from 17-20 years completed a 60-minute self-report questionnaire. Initiating and sustaining factors, motivational systems (similar to approach and avoidance dimensions), activity dimensions {Structure, Supportive Social Environment), quality of experience {Positive, Stress-Challenge), and future intention to participate in community service were measured. Eight participants also completed a 20-minute telephone interview to complement and expand on the quantitative data collected. Some initiating and sustaining factors were specific to individuals higher on the avoidance dimension, while others were relevant to those higher on the approach dimension. Several factors also were important to individuals regardless of their motivational system orientation. Positive quality of experience was related positively to experiencing a supportive social environment. In addition, women rated their community service as more positive than did men. A predicted interaction between the avoidance dimension and Structure in predicting positive quality of experience was not supported; however, positive quality of experience was predicted by the interaction of the approach dimension and Structure. A tested interaction between the avoidance dimension and Supportive Social Environment in predicting positive quality of experience was not supported. Similarly, a predicted interaction between the approach dimension and Supportive Social Environment in predicting positive experience quality was not supported. However, Supportive Social Environment was positively related to positive quality of experience. No support was found for a mediational role for positive quality of experience or stress-challenge quality of experience in exploring the relation between motivational orientation and fiiture intention to engage in service activities. The results of this study suggest that participating in a service environment that is supportive and provides the opportunity for social interactions with others would promote positive quality of experience and help youth sustain involvement. Thus, to help youth have positive experiences and to remain active in service, it is important for service agencies to promote these types of environments. In addition, some initiating and sustaining factors were specific to youth higher on the avoidance dimension and some were relevant to youth higher on the approach dimension. Therefore, service agencies may need to consider using different recruitment and retention strategies, depending on the type of youth they wish to recruit.
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The NeO'liberal State and the Crisis ofPublic Service Broadcasting in the Anglo-American Democracies The purpose ofthis analysis ofthe present condition ofpublic service broadcasting in the Anglo- American democracies was to investigate whether such media can still be regarded as the primarypublic spherefor a dialogue between each nation 's civil society and the State. The motivationfor this thesis was based on a presumption that such fora for public discussion on the central issues of each society have become viewed as less relevant bypoliticians andpolicy-makers and thepublics they were intended to serve in the Anglo-American democracies over thepast two decades. It is speculated that this is the case because ofa beliefthat the post-war consensus between the respective States andpublics that led to the construction of the Keynesian Welfare State and the notion ofpublic service broadcasting has been displaced by an individualistic, neo-liberal, laissez-faire ideology. In other words, broadcasting as a consumer-oriented, commercial commodity has superseded concerns pertaining to the importance ofthe public interest. The methodology employed in this thesis is a comparative analysisfrom a criticalpolitical economy perspective. It was considered appropriate to focus on the United Kingdom, Australia, Canada and the\ United States because they comprise the four largest Anglo-American nations with democratic political systems andprimarily market economies. Justificationfor this particular sample is reinforced by thefact that case study countries also share a common socio-political and economic tradition. The evidence assembledfor this thesis consisted almost exclusively ofexisting literature on the subjects ofpublic service broadcasting, global economic andpolitical integration, and the ascendance ofthe 'free-market ' ethos in Western democracies since the late mid- to late-1970s. In essence, this thesis could be considered as a reinterpretation ofthe existing literature relevant to these issues. Several important common features werefound among the political, economic and broadcasting systems of the four case study nations. It is proposed that the prevalence of the neo-liberal world view throughout the political and policy environments of the four countries has undermined the stability and credibility of each nation 's national public service broadcasting organization, although with varying intensity and effect,. Deregulation ofeach nation 's broadcasting system and the supremacy ofthe notion of 'consumer sovereignty' have marginalized the view of broadcasting on any basis other than strictly economic criteria in thefour case study countries. This thesis concludes that,for a reconstruction ofa trulyparticipatory anddemocraticpublicsphere to be realized in the present as well as thefuture, a reassessment ofthe conventional concept ofthe 'public sphere ' is necessary. Therefore, it is recommended that thefocus ofpolicy-makers in each Anglo-American democracy be redirectedfrom that which conceived ofan all-encompassing, large, state-ownedand operated public broadcasting service toward a view which considers alternativeforms ofpublic communication, such as local community and ethnic broadcasting operations, that are likely to be more responsive to the needs of the increasingly diverse and heterogeneous populations that comprise the modem Anglo-American democracies. The traditional conception of public broadcasters must change in accordance with its contemporary environment if the fundamental principles of the public sphere and public service broadcasting are to be realized.
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The last several decades have been marked by tremendous changes in education - technological, pedagogical, administrative, and social. These changes have led to considerable increments in the budgets devoted to professional development for teachers ~ with the express purpose of helping them accommodate their practices to the new realities oftheir classrooms. However, research has suggested that, in spite of the emphasis placed on encouraging sustained change in teaching practices, little has been accomplished. This begs the question of what ought to be done to not only reverse this outcome, but contribute to transformational change. The literature suggests some possibilities including: a) considering teachers as learners and applying what, is known about cognition and learning; b) modifying the location and nature ofprofessional development so that it is authentic, based in the classroom and focusing on tasks meaningful to the teacher; c) attending to the infrastructure underlying professional development; and d) ensuring opportunities for reflective practice. This dissertation looks at the impact of each ofthese variables through an analysis ofthe learning journeys of a group ofteachers engaged in a program called GrassRoots in one midsized school board in Ontario. Action research was conducted by the researcher in his role as consultant facilitating teacher professional growth around the use of Web sites as culminating performance tasks by students. Research focused on the pedagogical approach to the learning of the teachers involved and the infrastructure underlying their learning. Using grounded theory, a model for professional development was developed that can be used in the future to inform practices and, hopefully, lead to sustained transformational school change.
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Passive solar building design is the process of designing a building while considering sunlight exposure for receiving heat in winter and rejecting heat in summer. The main goal of a passive solar building design is to remove or reduce the need of mechanical and electrical systems for cooling and heating, and therefore saving energy costs and reducing environmental impact. This research will use evolutionary computation to design passive solar buildings. Evolutionary design is used in many research projects to build 3D models for structures automatically. In this research, we use a mixture of split grammar and string-rewriting for generating new 3D structures. To evaluate energy costs, the EnergyPlus system is used. This is a comprehensive building energy simulation system, which will be used alongside the genetic programming system. In addition, genetic programming will also consider other design and geometry characteristics of the building as search objectives, for example, window placement, building shape, size, and complexity. In passive solar designs, reducing energy that is needed for cooling and heating are two objectives of interest. Experiments show that smaller buildings with no windows and skylights are the most energy efficient models. Window heat gain is another objective used to encourage models to have windows. In addition, window and volume based objectives are tried. To examine the impact of environment on designs, experiments are run on five different geographic locations. Also, both single floor models and multi-floor models are examined in this research. According to the experiments, solutions from the experiments were consistent with respect to materials, sizes, and appearance, and satisfied problem constraints in all instances.
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This project presents a handbook for Ontario Junior/Intermediate (J/I) pre-service teachers, Ontario J/I teacher education instructors, and J/I associate teachers that facilitates the identification, analysis, and reorganization of J/I pre-service teachers’ thoughts and feelings about diversity characteristics to develop inclusive teaching pedagogy. The handbook outlines collaborative and independent learning activities designed for integration into compulsory J/I Bachelor of Education (B.Ed.) program courses, practicum placements, and independent reflective situations. The handbook is composed of 5 sections: (a) Rationale for Importance; (b) Cross-Curricular Activities for J/I B.Ed. Courses; (c) Course-Specific Activities; (d) Practicum Placement Activities; and (e) Resources for Inclusive Educators. A critical content analysis of a 2011-2012 J/I B.Ed. program in Ontario enabled the creation of the handbook to address specific teacher education programming focused on helping pre-service teachers understand their thoughts and feelings about diversity for the development of inclusive teaching pedagogy. This research contributes to the advancement of theory and practice regarding development of teacher education programming that promotes J/I pre-service teachers’ inclusive pedagogy.
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Cette thèse étudie une approche intégrant la gestion de l’horaire et la conception de réseaux de services pour le transport ferroviaire de marchandises. Le transport par rail s’articule autour d’une structure à deux niveaux de consolidation où l’affectation des wagons aux blocs ainsi que des blocs aux services représentent des décisions qui complexifient grandement la gestion des opérations. Dans cette thèse, les deux processus de consolidation ainsi que l’horaire d’exploitation sont étudiés simultanément. La résolution de ce problème permet d’identifier un plan d’exploitation rentable comprenant les politiques de blocage, le routage et l’horaire des trains, de même que l’habillage ainsi que l’affectation du traffic. Afin de décrire les différentes activités ferroviaires au niveau tactique, nous étendons le réseau physique et construisons une structure de réseau espace-temps comprenant trois couches dans lequel la dimension liée au temps prend en considération les impacts temporels sur les opérations. De plus, les opérations relatives aux trains, blocs et wagons sont décrites par différentes couches. Sur la base de cette structure de réseau, nous modélisons ce problème de planification ferroviaire comme un problème de conception de réseaux de services. Le modèle proposé se formule comme un programme mathématique en variables mixtes. Ce dernie r s’avère très difficile à résoudre en raison de la grande taille des instances traitées et de sa complexité intrinsèque. Trois versions sont étudiées : le modèle simplifié (comprenant des services directs uniquement), le modèle complet (comprenant des services directs et multi-arrêts), ainsi qu’un modèle complet à très grande échelle. Plusieurs heuristiques sont développées afin d’obtenir de bonnes solutions en des temps de calcul raisonnables. Premièrement, un cas particulier avec services directs est analysé. En considérant une cara ctéristique spécifique du problème de conception de réseaux de services directs nous développons un nouvel algorithme de recherche avec tabous. Un voisinage par cycles est privilégié à cet effet. Celui-ci est basé sur la distribution du flot circulant sur les blocs selon les cycles issus du réseau résiduel. Un algorithme basé sur l’ajustement de pente est développé pour le modèle complet, et nous proposons une nouvelle méthode, appelée recherche ellipsoidale, permettant d’améliorer davantage la qualité de la solution. La recherche ellipsoidale combine les bonnes solutions admissibles générées par l’algorithme d’ajustement de pente, et regroupe les caractéristiques des bonnes solutions afin de créer un problème élite qui est résolu de facon exacte à l’aide d’un logiciel commercial. L’heuristique tire donc avantage de la vitesse de convergence de l’algorithme d’ajustement de pente et de la qualité de solution de la recherche ellipsoidale. Les tests numériques illustrent l’efficacité de l’heuristique proposée. En outre, l’algorithme représente une alternative intéressante afin de résoudre le problème simplifié. Enfin, nous étudions le modèle complet à très grande échelle. Une heuristique hybride est développée en intégrant les idées de l’algorithme précédemment décrit et la génération de colonnes. Nous proposons une nouvelle procédure d’ajustement de pente où, par rapport à l’ancienne, seule l’approximation des couts liés aux services est considérée. La nouvelle approche d’ajustement de pente sépare ainsi les décisions associées aux blocs et aux services afin de fournir une décomposition naturelle du problème. Les résultats numériques obtenus montrent que l’algorithme est en mesure d’identifier des solutions de qualité dans un contexte visant la résolution d’instances réelles.
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Contexte : Les interventions sur l'environnement bâti reliées au transport peuvent contribuer à l'augmentation de la pratique de l'activité physique. En tant qu’intervention, les programmes de vélos en libre-service (PVLS) peuvent contribuer à l’utilisation du vélo. BIXI© (nom qui fusionne les mots BIcyclette et taXI) est un programme de vélos en libre-service implanté à Montréal, au Canada, en mai 2009. Le programme BIXI© met à la disposition des gens 5050 vélos à 405 bornes d’ancrage. Objectif : L'objectif général de cette thèse est d'étudier l'impact d'un programme de vélos en libre-service sur l’utilisation du vélo. Les objectifs spécifiques de la thèse sont de : 1) Estimer la prévalence populationnelle et identifier des variables environnementales, sociodémographiques et comportementales associées à l’utilisation des vélos en libre-service. 2) Estimer l’impact populationnel de l’implantation des vélos en libre-service sur l’utilisation du vélo et les contributions respectives de l’utilisation du vélo pour des fins utilitaires et récréatives à l’utilisation totale du vélo. 3) Estimer l’impact local de l’implantation des vélos en libre-service sur l’utilisation du vélo. Méthodes : Un devis populationnel transversal avec mesures répétées. Des enquêtes ont été réalisées au moment du lancement du programme de vélos en libre-service (4 mai au 10 juin, 2009), à la fin de la première année d’implantation (8 octobre au 12 décembre, 2009), et à la fin de la deuxième année d’implantation (8 novembre au 12 décembre, 2010). Les échantillons se composaient de 2001 (âge moyen = 49,4 années, 56,7 % de femmes), 2502 (âge moyen = 47,8 ans, 61,8 % de femmes) et 2509 (âge moyen = 48,9 années, 59,0 % de femmes) adultes à chaque période de mesure respectivement. Résultats : Globalement, les résultats démontrent le potentiel des PVLS pour augmenter l’utilisation du vélo. Les résultats suggèrent que près de 128 744 habitants ou 8,1 % de la population adulte ont utilisé les vélos BIXI© au moins une fois dans la première saison. Après deux ans d’implantation, ceux qui sont exposés à BIXI© dans leur milieu résidentiel avaient une probabilité significativement plus élevée d’utiliser le vélo par rapport à ceux non exposés. Par contre, il n'y avait aucun impact local de l’implantation du programme BIXI© sur l’utilisation du vélo. Conclusions : L’implantation d'un PVLS à Montréal a augmenté la probabilité d’utiliser le vélo chez les individus habitant près d'une borne d'ancrage. Mots clés : programme de vélos en libre-service, expérience naturelle, santé des populations.
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Introduction. Les programmes de vélos en libre-service (PVLS) représentent une innovation en transport actif. À ce jour, la sensibilisation à cette innovation en tant que prérequis à l’accessibilité n’a jamais été étudiée. Objectif. Identifier les facteurs liés à l’absence de sensibilisation à l’existence du PVLS à Montréal. Méthode. 7011 Montréalais âgés de 18 ans et plus ont été interrogés au cours de 3 sondages téléphoniques sur une période couvrant deux saisons : avant la première saison (n=2000), après la première saison (n=2502) et après la deuxième saison (n=2509). Des analyses de régression logistique ont été réalisées sur 93,6 % (n=6562) de l’échantillon pour examiner l’effet du temps, de la proximité des stations de vélos et du niveau d’éducation sur l’absence de sensibilisation à l’existence du PVLS. Résultats. Nous constatons que, après la première saison d’implantation du PVLS, la probabilité d’absence de sensibilisation au PVLS est plus élevée chez les individus dont le niveau d’éducation est faible que chez ceux dont le niveau d’éducation est élevé (RC = 1,60; 95 % IC : 1,18; 2,19). Aussi, nous observons que, après la deuxième saison d’implantation, la probabilité d’absence de sensibilisation au PVLS est plus élevée chez les individus dont le niveau d’éducation est faible et qui vivent dans un voisinage pourvu d’un PVLS, que chez ceux dont le niveau d’éducation est élevé et qui vivent dans un voisinage dépourvu d’un PVLS (RC = 1,63, 95 % IC : 1,01; 2,64). Conclusion. Malgré l’accessibilité au PVLS dans un voisinage, des inégalités sociales persistent.
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In a business environment that is characterized by intense competition, building customer loyalty has become a key area of focus for most financial institutions. The explosion of the services sector, changing customer demographics and deregulation and emergence of new technology in the financial services industry have had a critical impact on consumers’ financial services buying behaviour. The changes have forced banks to modify their service offerings to customers so as to ensure high levels of customer satisfaction and also high levels of customer retention. Banks have historically had difficulty distinguishing their products from one another because of their relative homogeneity; with increasing competition,the problem has only intensified with no coherent distinguishing theme. Rising wealth, product proliferation, regulatory changes and newer technologies are together making bank switching easier for customers. In order to remain competitive, it is important for banks to retain their customer base. The financial services sector is the foundation for any economy and plays the role of mobilization of resources and their allocation. The retail banking sector in India has emerged as one of the major drivers of the overall banking industry and has witnessed enormous growth. Switching behaviour has a negative impact on the banks’ market share and profitability as the costs of acquiring customers are much higher than the costs of retaining. When customers switch, the business loses the potential for additional profits from the customer the initial costs invested in the customer by the business get . The Objective of the thesis was to examine the relationship among triggers that customers experience, their perceptions of service quality, consumers’ commitment and behavioral intentions in the contemporary India retail banking context through the eyes of the customer. To understand customers’ perception of these aspects, data were collected from retail banking customers alone for the purpose of analysis, though the banks’ views were considered during the qualitative work carried out prior to the main study. No respondent who is an employee of a banking organization was considered for the final study to avoid the possibility of any bias that could affect the results adversely. The data for the study were collected from customers who have switched banks and from those who were non switchers. The study attempted to develop and validate a multidimensional construct of service quality for retail banking from the consumer’s perspective. A major conclusion from the empirical research was the confirmation of the multidimensional construct for perceived service quality in the banking context. Switching can be viewed as an optimization problem for customers; customers review the potential gains of switching to another service provider against the costs of leaving the service provider. As banks do not provide tangible products, their service quality is usually assessed through service provider’s relationship with customers. Thus, banks should pay attention towards their employees’ skills and knowledge; assessing customers’ needs and offering fast and efficient services.
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Distributed systems are one of the most vital components of the economy. The most prominent example is probably the internet, a constituent element of our knowledge society. During the recent years, the number of novel network types has steadily increased. Amongst others, sensor networks, distributed systems composed of tiny computational devices with scarce resources, have emerged. The further development and heterogeneous connection of such systems imposes new requirements on the software development process. Mobile and wireless networks, for instance, have to organize themselves autonomously and must be able to react to changes in the environment and to failing nodes alike. Researching new approaches for the design of distributed algorithms may lead to methods with which these requirements can be met efficiently. In this thesis, one such method is developed, tested, and discussed in respect of its practical utility. Our new design approach for distributed algorithms is based on Genetic Programming, a member of the family of evolutionary algorithms. Evolutionary algorithms are metaheuristic optimization methods which copy principles from natural evolution. They use a population of solution candidates which they try to refine step by step in order to attain optimal values for predefined objective functions. The synthesis of an algorithm with our approach starts with an analysis step in which the wanted global behavior of the distributed system is specified. From this specification, objective functions are derived which steer a Genetic Programming process where the solution candidates are distributed programs. The objective functions rate how close these programs approximate the goal behavior in multiple randomized network simulations. The evolutionary process step by step selects the most promising solution candidates and modifies and combines them with mutation and crossover operators. This way, a description of the global behavior of a distributed system is translated automatically to programs which, if executed locally on the nodes of the system, exhibit this behavior. In our work, we test six different ways for representing distributed programs, comprising adaptations and extensions of well-known Genetic Programming methods (SGP, eSGP, and LGP), one bio-inspired approach (Fraglets), and two new program representations called Rule-based Genetic Programming (RBGP, eRBGP) designed by us. We breed programs in these representations for three well-known example problems in distributed systems: election algorithms, the distributed mutual exclusion at a critical section, and the distributed computation of the greatest common divisor of a set of numbers. Synthesizing distributed programs the evolutionary way does not necessarily lead to the envisaged results. In a detailed analysis, we discuss the problematic features which make this form of Genetic Programming particularly hard. The two Rule-based Genetic Programming approaches have been developed especially in order to mitigate these difficulties. In our experiments, at least one of them (eRBGP) turned out to be a very efficient approach and in most cases, was superior to the other representations.
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Web services from different partners can be combined to applications that realize a more complex business goal. Such applications built as Web service compositions define how interactions between Web services take place in order to implement the business logic. Web service compositions not only have to provide the desired functionality but also have to comply with certain Quality of Service (QoS) levels. Maximizing the users' satisfaction, also reflected as Quality of Experience (QoE), is a primary goal to be achieved in a Service-Oriented Architecture (SOA). Unfortunately, in a dynamic environment like SOA unforeseen situations might appear like services not being available or not responding in the desired time frame. In such situations, appropriate actions need to be triggered in order to avoid the violation of QoS and QoE constraints. In this thesis, proper solutions are developed to manage Web services and Web service compositions with regard to QoS and QoE requirements. The Business Process Rules Language (BPRules) was developed to manage Web service compositions when undesired QoS or QoE values are detected. BPRules provides a rich set of management actions that may be triggered for controlling the service composition and for improving its quality behavior. Regarding the quality properties, BPRules allows to distinguish between the QoS values as they are promised by the service providers, QoE values that were assigned by end-users, the monitored QoS as measured by our BPR framework, and the predicted QoS and QoE values. BPRules facilitates the specification of certain user groups characterized by different context properties and allows triggering a personalized, context-aware service selection tailored for the specified user groups. In a service market where a multitude of services with the same functionality and different quality values are available, the right services need to be selected for realizing the service composition. We developed new and efficient heuristic algorithms that are applied to choose high quality services for the composition. BPRules offers the possibility to integrate multiple service selection algorithms. The selection algorithms are applicable also for non-linear objective functions and constraints. The BPR framework includes new approaches for context-aware service selection and quality property predictions. We consider the location information of users and services as context dimension for the prediction of response time and throughput. The BPR framework combines all new features and contributions to a comprehensive management solution. Furthermore, it facilitates flexible monitoring of QoS properties without having to modify the description of the service composition. We show how the different modules of the BPR framework work together in order to execute the management rules. We evaluate how our selection algorithms outperform a genetic algorithm from related research. The evaluation reveals how context data can be used for a personalized prediction of response time and throughput.
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Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular drawbacks. High-level AI uses abstractions that often have no relation to the way real, biological brains work. Low-level AI, on the other hand, tends to lack the powerful abstractions that are needed to express complex structures and relationships. I have tried to combine the best features of both approaches, by building a set of programming abstractions defined in terms of simple, biologically plausible components. At the ``ground level'', I define a primitive, perceptron-like computational unit. I then show how more abstract computational units may be implemented in terms of the primitive units, and show the utility of the abstract units in sample networks. The new units make it possible to build networks using concepts such as long-term memories, short-term memories, and frames. As a demonstration of these abstractions, I have implemented a simulator for ``creatures'' controlled by a network of abstract units. The creatures exist in a simple 2D world, and exhibit behaviors such as catching mobile prey and sorting colored blocks into matching boxes. This program demonstrates that it is possible to build systems that can interact effectively with a dynamic physical environment, yet use symbolic representations to control aspects of their behavior.
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Engineering of negotiation model allows to develop effective heuristic for business intelligence. Digital ecosystems demand open negotiation models. To define in advance effective heuristics is not compliant with the requirement of openness. The new challenge is to develop business intelligence in advance exploiting an adaptive approach. The idea is to learn business strategy once new negotiation model rise in the e-market arena. In this paper we present how recommendation technology may be deployed in an open negotiation environment where the interaction protocol models are not known in advance. The solution we propose is delivered as part of the ONE Platform, open source software that implements a fully distributed open environment for business negotiation