Automatic deployment of interoperable legacy code services

The Grid Execution Management for Legacy Code Architecture (GEMLCA) enables exposing legacy applications as Grid services without re-engineering the code, or even requiring access to the source files. The integration of current GT3 and GT4 based GEMLCA implementations with the P-GRADE Grid portal allows the creation, execution and visualisation of complex Grid workflows composed of legacy and nonlegacy components. However, the deployment of legacy codes and mapping their execution to Grid resources is currently done manually. This paper outlines how GEMLCA can be extended with automatic service deployment, brokering, and information system support. A conceptual architecture for an Automatic Deployment Service (ADS) and for an x-Service Interoperability Layer (XSILA) are introduced explaining how these mechanisms support desired features in future releases of GEMLCA.

Validating A knowledge transfer framework in health services

The study of knowledge transfer (KT) has been proceeding in parallel but independently in health services and in business, presenting an opportunity for synergy and sharing. This paper uses a survey of 32 empirical KT studies with their 96 uniquely named determinants of KT success to identify ten unique determinants for horizontal knowledge transfer success. These determinants, the outcome measure of Knowledge Use, and separate explicit and tacit transfer flows constitute the KT Framework, extending the work of previous KT framework authors. Our Framework was validated through a case study of the transfer of clinical practice guideline knowledge between the cardiac teams of selected Ontario hospitals, using a survey of senders and receivers developed from the KT literature. The study findings were: 8 of 10 determinants were supported by the Successful Transfer Hospitals; and 4 of 10 determinants were found to a higher degree in the Successful than non-Successful transfer hospitals. Taken together, the results show substantive support for the KT Framework determinants, indicating aggregate support of 9 of these determinants, but not the 10th - Knowledge Complexity. The transfer of tacit knowledge was found to be related to the transfer of the explicit knowledge and expressed as the transfer or recreation of resource profile and internal process tacit knowledge, where this tacit transfer did not require interactions between Sender and Receiver. This study provides managers with the building blocks to assess and improve the success rates of their knowledge transfers.

Biblioteca para a realização de security token services

A família de especificações WS-* define um modelo de segurança para web services, baseado nos conceitos de claim, security token e Security Token Service (STS). Neste modelo, a informação de segurança dos originadores de mensagens (identidade, privilégios, etc.) é representada através de conjuntos de claims, contidos dentro de security tokens. A emissão e obtenção destes security tokens, por parte dos originadores de mensagens, são realizadas através de protocolos legados ou através de serviços especiais, designados de Security Token Services, usando as operações e os protocolos definidos na especificação WS-Trust. O conceito de Security Token Service não é usado apenas no contexto dos web services. Propostas como o modelo dos Information Cards, aplicável no contexto de aplicações web, também utilizam este conceito. Os Security Token Services desempenham vários papéis, dependendo da informação presente no token emitido. São exemplos o papel de Identity Provider, quando os tokens emitidos contêm informação de identidade, ou o papel de Policy Decision Point, quando os tokens emitidos definem autorizações. Este documento descreve o projecto duma biblioteca software para a realização de Security Token Services, tal como definidos na norma WS-Trust, destinada à plataforma .NET 3.5. Propõem-se uma arquitectura flexível e extensível, de forma a suportar novas versões das normas e as diversas variantes que os Security Token Services possuem, nomeadamente: o tipo dos security token emitidos e das claims neles contidas, a inferência das claims e os métodos de autenticação das entidades requerentes. Apresentam-se aspectos de implementação desta arquitectura, nomeadamente a integração com a plataforma WCF, a sua extensibilidade e o suporte a modelos e sistemas externos à norma. Finalmente, descrevem-se as plataformas de teste implementadas para a validação da biblioteca realizada e os módulos de extensão da biblioteca para: suporte do modelo associado aos Information Cards, do modelo OpenID e para a integração com o Authorization Manager.

Energy and ancillary services joint market simulation

In order to develop a flexible simulator, a variety of models for Ancillary Services (AS) negotiation has been implemented in MASCEM – a multi-agent system competitive electricity markets simulator. In some of these models, the energy and the AS are addressed simultaneously while in other models they are addressed separately. This paper presents an energy and ancillary services joint market simulation. This paper proposes a deterministic approach for solving the energy and ancillary services joint market. A case study based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve, and Non-Spinning Reserve services is used to demonstrate that the use of the developed methodology is suitable for solving this kind of optimization problem. The presented case study is based on CAISO real AS market data considers fifteen bids.

ANN based day-ahead ancillary services forecast for electricity market simulation

Adequate decision support tools are required by electricity market players operating in a liberalized environment, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services (AS) represent a good negotiation opportunity that must be considered by market players. Based on the ancillary services forecasting, market participants can use strategic bidding for day-ahead ancillary services markets. For this reason, ancillary services market simulation is being included in MASCEM, a multi-agent based electricity market simulator that can be used by market players to test and enhance their bidding strategies. The paper presents the methodology used to undertake ancillary services forecasting, based on an Artificial Neural Network (ANN) approach. ANNs are used to day-ahead prediction of non-spinning reserve (NS), regulation-up (RU), and regulation down (RD). Spinning reserve (SR) is mentioned as past work for comparative analysis. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.

Ancillary services market clearing simulation: a comparison between deterministic and heuristic methods

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tool must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case based on California Independent System Operator (CAISO) data concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Ancillary services dispatch using linear programming and genetic algorithm approaches

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

E-Learning as a shared service in shared services centers

Book Subtitle International Conference, CENTERIS 2010, Viana do Castelo, Portugal, October 20-22, 2010, Proceedings, Part II

The Interactions between clients and providers of services related to marketing activities

The purpose of this paper is to analyze the business interactions involved in the purchase of services related to marketing activities. We build on the literature about business services classifications and the interaction between clients and providers of business services. An empirical study is conducted by means of a survey questionnaire. Data were collected from a sample of 80 buying firms of services related to marketing activities who agreed to cooperate and represent medium and large Portuguese’s firms. The results show that the buying of services related to marketing activities involves both the client and the provider in the interaction process. This paper contributes to understanding the interaction process of buying services related to marketing activities in terms of the parties involved, product/service exchange, financial and information exchange. Providers of services related to marketing activities can expect stable and preferred relationships if they can offer a good price and quality of service, meet the agreed deadlines and respond quickly to client orders. On the client’s side, the relevance, the characteristics and the wide diversity of services related to marketing activities requires a good understanding and management of the interaction portfolio with providers.

Mixed integer non linear programming and artificial neural network based approach to ancillary services dispatch in competitive electricity markets

Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted to the market and includes a market clearing mechanism based on deterministic optimization. An Artificial Neural Network is used for day-ahead prediction of Regulation Down, regulation-up, Spin Reserve and Non-Spin Reserve requirements. Two test cases based on California Independent System Operator data concerning dispatch of Regulation Down, Regulation Up, Spin Reserve and Non-Spin Reserve services are included in this paper to illustrate the application of the proposed method: (1) dispatch considering simple bids; (2) dispatch considering complex bids.

Multi-agent system for personalization of location-based services

The current ubiquitous network access and increase in network bandwidth are driving the sales of mobile location-aware user devices and, consequently, the development of context-aware applications, namely location-based services. The goal of this project is to provide consumers of location-based services with a richer end-user experience by means of service composition, personalization, device adaptation and continuity of service. Our approach relies on a multi-agent system composed of proxy agents that act as mediators and providers of personalization meta-services, device adaptation and continuity of service for consumers of pre-existing location-based services. These proxy agents, which have Web services interfaces to ensure a high level of interoperability, perform service composition and take in consideration the preferences of the users, the limitations of the user devices, making the usage of different types of devices seamless for the end-user. To validate and evaluate the performance of this approach, use cases were defined, tests were conducted and results gathered which demonstrated that the initial goals were successfully fulfilled.

Smart Grid Market Using Joint Energy and Ancillary Services Bids

The power systems operation in the smart grid context increases significantly the complexity of their management. New approaches for ancillary services procurement are essential to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. These approaches should include market mechanisms which allow the participation of small and medium distributed energy resources players in a competitive market environment. In this paper, an energy and ancillary services joint market model used by an aggregator is proposed, considering bids of several types of distributed energy resources. In order to improve economic efficiency in the market, ancillary services cascading market mechanism is also considered in the model. The proposed model is included in MASCEM – a multi-agent system electricity market simulator. A case study considering a distribution network with high penetration of distributed energy resources is presented.

Proactive services ecosystem framework

Dissertation presented to obtain the degree of Doctor in Electrical and Computer Engineering, specialization on Collaborative Enterprise Networks