Today, there are two different ways to use computer. The first one is using standalone applications and another is using network services. Because user must install all program files into personal computer for standalone application, the cost of installing and updating application is very expensive. Online service is always constructed by using the model of a mainframe, so information is still administered in the centralized database and every user's operations must be processed in the web server. Because of the mature network infrastructure, people can use different ways to connect to Internet. More and more applications are changed to online services. That is also the ideal of Sun, "The Network is The Computer", and Sun announces Jini technology for the ideal. By using Jini technology, service providers can construct and deploy their services easily and users can find these services easily. Jini technology is based on Java, so Jini has many advantages of Java. Besides, there is a concept of federation in Jini technology. People can share resources in the same federation easily, but can not access resources in the other federation. In the other words, federations can not communicate with each other. In order to solve this problem, we design Service Portal for Jini federations, that let Jini federations can share their resources with others. In the Service Portal for Jini federations, we use "Service Proxy Forwarding" mechanism to forward service proxy objects inside Jini federations and use "Scalable Service Portal" mechanism to gather service proxy objects from different Jini federations. In our service portal system, we implement two application services to determine the reliability of the system. They are Stock Market System and Motor vehicles Presentation System.

Service-based software can be exploited by potentially untrustworthy service requestors while providing services. Given that, it is important to identify, analyze the trust relationships between service providers and requestors, and incorporate them into the service-based software. Treating trust as a nonfunctional requirement (NFR) during software development and monitoring allows clarifying these relationships and measuring the trustworthiness of service requestors. This analysis is facilitated by incorporating trust scenarios and trust models into the software. A trust scenario describes a trust relationship between interested parties based on a specific context. A trust model provides trust equations to measure the trustworthiness of service requestors based on the analysis of service-based interactions. Although much research has been devoted to monitor service quality, to date, no approach has been proposed to develop and automatically monitor service providing software from trust perspectives. In this thesis, we propose a trust-aware service-based software development framework which utilizes our proposed Unified Modeling Language (UML) extension called UMLtrust (UML for trust scenarios)to specify the trust scenarios of a service provider and incorporates our developed trust model called CAT (Context-Aware Trust) into the software to calculate the trustworthiness of service requestors. The trust scenarios are converted to trust rules to monitor service-based interactions. A service requestor is penalized for the violation of a trust rule and rewarded when no rule is violated. The trustworthiness of the requestor is then calculated (using the equations of CAT) based on the current request, outcomes of previous requests, and recommendations from other service providers. A trust-based service granting algorithm is presented to decide whether a service requestor should be granted the requested service. A trust monitoring architecture is presented which is assumed to reside in each service provider. The monitor uses trust rules from UMLtrust specifications and trust equations from CAT to analyze service-based interactions. The incorporation of the monitor into a provider makes it trust-aware. A trust monitoring algorithm is provided to analyze interactions and make decisions at run-time. A prototype of a file sharing service-based grid is implemented to evaluate the applicability of our framework that confirms the effectiveness of the framework. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2008-02-11 15:57:22.003 / Natural Sciences and Engineering Research Council (NSERC)

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / This paper describes a service-based Intelligent Agent (IA) approach for machine learning and data mining of distributed heterogeneous data streams. We focus on an open architecture framework that enables the programmer/analyst to build an IA suite for mining, examining and evaluating heterogeneous data for semantic representations, while iteratively building the probabilistic model in real-time to improve predictability. The Framework facilitates model development and evaluation while delivering the capability to tune machine learning algorithms and models to deliver increasingly favorable scores prior to production deployment. The IA Framework focuses on open standard interoperability, simplifying integration into existing environments.

無 / Global investment in process-management technology has vastly increased for the purpose of integrating both external and internal processes with aligned resources to adapt to the changing environment of the service-based economy. The management of business processes in the service-based economy requires dynamic capabilities in order to continuously integrate knowledge, coordinate activities, learn from experience, and reinvent services to acquire and retain customers. A growing pattern within the characteristics of path dependency has been observed in the development of process management capabilities, which evolved from awareness to optimization. This paper reports the findings of a study of the development of process-management capabilities in six companies across two different industries. By tracking the growth of its process-management capabilities, three points are made: (1) organizations develop their business process-management capabilities through five stages, which are awareness, repetition, standardization, management, and optimization; (2) each maturity level is characterized by different business focuses, process designs, knowledge management, measurement methods, and management attitudes; and (3) the development path is characterized by ups and downs and is influenced by both external and internal changes.

During the last decade, Sweden has experienced an increase in number of immigrants. In the north of Sweden, Umeå is one of the municipalities with most constant increases. Their working situation is often related to businesses with lower thresholds and the hotel industry is one of these branches. The hotel market is at the same time rising which makes it of interest to describe the hotel industries attitude towards immigrants as working labor.   The aim of this study is to see how immigrants are treated by a service-based labor market in Sweden. This will be examined through semi- structured interviews with support from previous studies and theories. The respondents will be recruitment staffs from hotels in Umeå municipality and the interviews will focus on their point of view.   The results indicate what an immigrant is facing in the Swedish labor market and has been divided into four themes: part time workers labor market, treatment at the working place, cooperation and competence. The study also compares Sweden with England, as previous studies have shown that England has a large number of immigrants working in hotel business.

Service-Oriented Architecture (SOA) represents an emerging architectural approach that is able to tackle challenges in the contemporary service-based economy, in which the global market revenues are shifting from the manufacture of traditional off-the-shelf products to the provision of diversified services that suffice for customers’ needs. In such a service-based economy, one can envisage an entirely “service-oriented” world, where a massive number of distributed services with different natures and capabilities are provided by various professionals around the world. Problems arise when business applications demand desirable services through different sources and providers that are appropriate for their own benefits and preferences. Therefore, it can be very challenging to design an SOA infrastructure that enables users to exploit this great level of service heterogeneity and quantity. One of the key issues in service-oriented architecture is to achieve efficient service discovery and loosely-coupled service distribution while maintaining a satisfactory degree of scalability, usability, and Web consistency. This thesis deals with SOA infrastructure-level design and implementation issues. It approaches this SOA infrastructure within the scope of Web services, which capture an important, and perhaps the best, ‘realisation’ of SOA. It investigates and formulates how public Web services distributed across the World Wide Web can be augmented by a software platform that enables scalable, user-centred,semantic-enabled, and integration-oriented service retrieval, selection, and matching. The primary goal of this thesis is thus to propose a conceptual framework of an enhanced SOA infrastructure with regard to service distribution and discovery. / It also aims to design and implement a platform (PWSP), by means of which a large number of public Web services on the Web can be distributed based on service demands, retrieved based on service descriptions, selected based on service qualities, and matched based on service messages in a user-centred, scalable, and Web-consistent manner without augmenting existing Web services standards.

Informed by research that connects transitional issues with assimilation, this practicum project focuses on how culturally-relevant education and service-based interior environments support the transition of urban Indigenous peoples. Eagle Urban Transition Centre (EUTC) in Winnipeg is studied as the client, providing specific examples of Indigenous service and educational frameworks employed to mitigate transitional issues. Spatial criteria for the adaptive reuse of 601 Aikins Street on Treaty One Territory in Winnipeg, Manitoba, were developed through a photo-elicitation interview process, and a theoretical framework that connected urban Indigenous identity, Indigenous education, transition and resistance with interior environments. Representing and recognizing the diverse Indigenous cultures of the users of EUTC in the design required a formal analysis of examples of Indigenous cultural production, such as the eight-pointed star blanket and Métis beadwork, as well as precedents of Indigenous spaces. The interior design for EUTC supports their organization, facilitating transition and creating opportunities for resistance through spaces that respect and emphasize cultural (re)connection. / October 2015

ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California / A major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.

Le Cloud Computing est un nouveau paradigme qui fournit des ressources informatiques sous forme de services à la demande via internet fondé sur le modèle de facturation pay-per-use. Il est de plus en plus utilisé pour le déploiement et l’exécution des processus métier en général et des processus métier à base de services (SBPs) en particulier. Les environnements cloud sont généralement très dynamiques. À cet effet, il devient indispensable de s’appuyer sur des agents intelligents appelés gestionnaires autonomiques (AMs), qui permettent de rendre les SBPs capables de se gérer de façon autonome afin de faire face aux changements dynamiques induits parle cloud. Cependant, les solutions existantes sont limitées à l’utilisation soit d’un AM centralisé, soit d’un AM par service pour gérer un SBP. Il est évident que la deuxième solution représente un gaspillage d’AMs et peut conduire à la prise de décisions de gestion contradictoires, tandis que la première solution peut conduire à des goulots d’étranglement au niveau de la gestion du SBP. Par conséquent, il est essentiel de trouver le nombre optimal d’AMs qui seront utilisés pour gérer un SBP afin de minimiser leur nombre tout en évitant les goulots d’étranglement. De plus, en raison de l’hétérogénéité des ressources cloud et de la diversité de la qualité de service (QoS) requise par les SBPs, l’allocation des ressources cloud pour ces AMs peut entraîner des coûts de calcul et de communication élevés et/ou une QoS inférieure à celle exigée. Pour cela, il est également essentiel de trouver l’allocation optimale des ressources cloud pour les AMs qui seront utilisés pour gérer un SBP afin de minimiser les coûts tout en maintenant les exigences de QoS. Dans ce travail, nous proposons un modèle d’optimisation déterministe pour chacun de ces deux problèmes. En outre, en raison du temps nécessaire pour résoudre ces problèmes qui croît de manière exponentielle avec la taille du problème, nous proposons des algorithmes quasi-optimaux qui permettent d’obtenir de bonnes solutions dans un temps raisonnable / Cloud Computing is a new paradigm that provides computing resources as a service over the internet in a pay-per-use model. It is increasingly used for hosting and executing business processes in general and service-based business processes (SBPs) in particular. Cloud environments are usually highly dynamic. Hence, executing these SBPs requires autonomic management to cope with the changes of cloud environments implies the usage of a number of controlling devices, referred to as Autonomic Managers (AMs). However, existing solutions are limited to use either a centralized AM or an AM per service for managing a whole SBP. It is obvious that the latter solution is resource consuming and may lead to conflicting management decisions, while the former one may lead to management bottlenecks. An important problem in this context, deals with finding the optimal number of AMs for the management of an SBP, minimizing costs in terms of number of AMs while at the same time avoiding management bottlenecks and ensuring good management performance. Moreover, due to the heterogeneity of cloud resources and the diversity of the required quality of service (QoS) of SBPs, the allocation of cloud resources to these AMs may result in high computing costs and an increase in the communication overheads and/or lower QoS. It is also crucial to find an optimal allocation of cloud resources to the AMs, minimizing costs while at the same time maintaining the QoS requirements. To address these challenges, in this work, we propose a deterministic optimization model for each problem. Furthermore, due to the amount of time needed to solve these problems that grows exponentially with the size of the problem, we propose near-optimal algorithms that provide good solutions in reasonable time

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