Grid Services

The service oriented computing paradigm is a new model for distributed computing and due to its simplicity and powerful features, it is being popular and has a wide variety of implementation in different scenarios. The already built system is studies in detail, which was totally implemented using the Grid Technology. The idea of the current work is how we can implement the same functionality in the non-real time environment. The basic idea is to merge the web services and grid services to formulate the unique concept of context dependent quality of service (QoS) for both real time and non-real time solutions. When we merge these different types of services, the main focusing point is to define the service level agreement (SLA) when these different qualified services want to interact with each other. This document discusses and formulates the theoretical aspects, which in future work, can be consider for the practical implementation.

Industrial application development approaches are striving for solutions that promote the rapid development of flexible and adaptable systems and the exploitation of legacy systems and resources. The Service-oriented Development (SOD) paradigm, a current trend in software development, could be beneficial to industrial application development approaches. However, the heterogeneity in existing standards and protocols for the discovery of the various service types is an obstacle for the use of SOD in industry. This paper addresses this issue by proposing a solution that supports the unified discovery of heterogeneous services and thus supporting the use of SOD in industry. The proposed solution comprises a generic service model (GeSMO), which facilitates the specification of heterogeneous services, a query language called Unified Service Query Language (USQL), based on GeSMO, which facilitates the unified discovery of heterogeneous services within heterogeneous service registries and a query engine called USQL Engine, that enables the execution of queries described in terms of the USQL, upon heterogeneous service registries.

Grid computing is now mature enough and important enough to be studied as a full course at the undergraduate level for upper-level computer science majors. We have developed such a course, including a set of lecture slides, assignments, and assignment handouts specifically targeted for this audience. The sequence of assignments is a key part of the course. Some of the assignments are modifications of pre-existing work and others are completely new. We describe the key decisions we made about the course organization and content and describe the assignments. An important feature of the course is that it was geographically distributed with copies of the grid software installed at three campuses. Those campuses plus three others were receiving sites and included students and faculty associated with nine universities.

The Open Grid Services Architecture (OGSA) is addressing the challenge of integrating services spread across distributed, heterogeneous, dynamic virtual organizations, using the concepts and technologies from both the Grid and Web service communities. The Web service community has realized that Web services can reach their full potential only if there exists a mechanism to describe the various interactions between the services and dynamically compose new services out of existing ones. This situation is true in the case of Grid services as well. In this paper, we analyze existing technologies that address workflow for Web services, and try to leverage them for Grid services, which have different needs from standard Web services. We discuss these special needs and present the Grid Services Flow Language (GSFL), which addresses them for Grid services within the OGSA framework.

Grid Computing, as an emerging technology, facilitates computer resource sharing, distribution over the Internet. Large-scale collaboration and engineering development for GRID Computing has been engaged world wide. The vigorous momentum of the technology has captured great business attention. The resources management in such large-scale distributed environment becomes a great challenge and will be the critical issue before GRID deployed into commercial operation, while resource allocation and utilization need to be properly managed in realistic and economic justification. Though the concept of web-services and SOA has captured attention and efforts of industries, this kind of economic services is not addressed by the development of e-services. Ultimately, this paper aims to deliver a new business model regarding service trading and billing. The Grid Architecture for Computational Economy (GRACE) framework has been adopted as the fundamental framework for the resource trading behavior. This paper explores then the resource trading models, including the decision mechanism for pricing and negotiation, and the way to integrate them into a uniform computational services environment. The concepts and Architecture is then investigated and extended with Economic Service Architecture (ESA). Last but not least, this paper carries out necessary Service Interfaces Definition (SID) and Service Data Entities (SDE) that facilitate necessary services including decision supports in the proposed GRACE.

The fact is that throughout Europe, the civil servants have similar needs when it comes to accessing information on training and employment opportunities in order to deliver the best possible service to the public, especially sensitive groups such as unemployed individuals and/or members of underprivileged groups (immigrants, young and elderly, individuals lacking professional qualifications, one-parent families, etc). This work describes an integrated system based on Web Services that collects and offers up-to-date information on training and job offers from different web sources matched to the needs of each case. The system will help civil servants to connect the public needs to employment requests and training opportunities combining different web resources on an individual basis, minimizing at the same time communication expenses, data replication and expiration.

Civil servants, and especially those engaged in social services, have similar needs all over Europe to access and elaborate information on training and employment offers in order to deliver the best possible service to those who have the right. This work extends the Web Services that collect and offer up-to-date information on training and job offers from different web sources matched to the needs of each case (Karadimas and Papastamatiou 2008) to address the Grid architecture. Grid architecture can be defined as a layer of secure networked services that allow users single sign-on access to a distributed collection of data resources, offering up-to-date information on training and job offers from different web resources. The proposed architecture, as it will include personal data that must be secured from unauthorized access, will be based on the Open Grid Services Architecture (OGSA) that defines standard mechanisms for creating, naming, and discovering transient Grid service instances.

After several years of growth, E-commerce has become mainstream and matured. However, the new challenges require that tomorrow's E-commerce system move beyond the basic functions such as a static website with electronic catalogue and/or a shopping cart towards an intelligent, dynamic, and secure commerce system. This research project attempts to explore the emerging technologies that can solve these issues such as systems integration and information sharing. Specifically, the nascent technologies introduced include application services, Web Services, grid computing and their combinations. The benefits and perils of each technology as well as the potential factors that influence businesses to adopt them are also discussed. Methodology: Qualitative Implications for practices: The description and discussion of the emerging technology trends will have implications for businesses in making strategic decisions and thus increase their business sustainability and competitiveness.

Traditionally, monitoring solutions are based on collecting a reduced set of external metrics about the system such as performance, memory consumption or response time. However, these tools are limited to detecting and diagnosing failures or errors in complex systems like application servers and grid services. New applications have embedded monitoring logic merged with business logic to better monitor and trace applications. This approach creates dependence between the "real" code and the monitoring code though, reducing the monitoring approach flexibility. Furthermore, both approaches (external or embedded monitoring) are not adaptable; they cannot change monitoring process level or precision at runtime. In this paper, we present a fine-grain monitoring framework architecture based on aspect-oriented technology. Aspect Oriented Programming offers the possibility to inject monitoring code dynamically, and even activate or deactivate monitoring code at runtime, allowing the collecting of metrics at the appropriate granularity (i.e. application level or method calls level).

h i g h l i g h t s Infrastructure costs are source of uncertainty hampering the hydrogen deployment. Five hydrogen delivery pathways, going up to the refuelling stations, are compared. Three scenarios are investigated for the hydrogen demand in passenger mobility. GIS modelling allowed to visualize a potential infrastructure deployment. The economies of scale have significant impact on lowering the hydrogen cost.

In today's distributed applications, semi automatic and semantic composition of workflows from Grid services is becoming an important challenge. We focus in this paper on how to model and compose interactively workflow applications from Grid services without considering lower level description of the Grid environment. To reach this objective, we propose a Model-Driven Approach for developing such applications based on semantic and syntactic descriptions of services available on the Grid and abstract description provided by UML activity diagram language as well. As there are particular needs for modeling composed workflows interactively from Grid services, we propose to extend the UML activity diagram notation. These extensions deal with additional information allowing an interactive and semi automatic composition of workflows. In addition this specific domain language contains appropriate data to describe matched Grid services that are useful for the execution of the obtained workflows.

The paradigm of grid computing has been successfully applied in the domain of computationallyintensive applications supporting scientific research. Serverclass computers interconnected by wired networks are typically used as computing devices in the grid. At the same time, the users of the existing and growing number of wireless mobile devices often demand more computational power than their devices can currently provide. We propose using the paradigm of the computational grid to build a problem-solving environment for wireless mobile devices. We address the challenges of distribution, coordination and assembly of a complex task, as well as such issues as network stability, access transparency and dependability in a grid-based system of mobile devices.

Hybrid power plants comprising renewable power sources and electrolyzers are envisioned to play a key role in accelerating the transition towards decarbonization. It is common in the current literature to use simplified operational models for electrolyzers. It is still an open question whether this is a good practice, and if not, when a more detailed operational model is necessary. This paper answers it by assessing the impact of adding different levels of electrolyzer details, i.e., physics and operational constraints, to the optimal dispatch problem of a hybrid power plant in the day-ahead time stage. Our focus lies on the number of operating states (on, off, standby) as well as the number of linearization segments used for approximating the non-linear hydrogen production curve. For that, we develop several mixedinteger linear models, each representing a different level of operational details. We conduct a thorough comparative ex-post performance analysis under different price conditions, wind farm capacities, and minimum hydrogen demand requirements, and discuss under which operational circumstances a detailed model is necessary. In particular, we provide a case under which a simplified model, compared to a detailed one, results in a decrease in profit of 1.8% and hydrogen production of 13.5% over a year. The key lesson learned is that a detailed model potentially earns a higher profit in circumstances under which the electrolyzer operates with partial loading. This could be the case for a certain range of electricity and hydrogen prices, or limited wind power availability. The detailed model also provides a better estimation of true hydrogen production, facilitating the logistics required.

CIOs and CEOs are confronted with the key question of choosing the right ERP software for their company. The evaluation process tends to be painstaking as the outcome usually affects the competitive ability of the business and thus the future of the company itself. Packaged software has become so powerful in recent years that it fulfils the requirements of companies from different industries after a thorough customization process. Nevertheless, case studies and anecdotal evidence show that in many cases ERP ...

The Web Service Resource Framework (WS-RF) specifications originated from the Grid paradigm which has no widespread programming methodology and lacks established design models. The flexibility and richness of WS-RF specifications are ideal for the complex, unpredictable and interdependent components in an Enterprise Application. This paper presents a Model-Driven approach for WS-RF to meet the requirements of Enterprise Applications (EAs) spread across multiple domains and institutes. This Model-Driven approach addresses cross-platform interoperability, quality of service, design reuse, systematic development and compliance to user requirements at the design level.

The complexity, unpredictability and inter-dependency of the components in a workflow often demand thorough planning at the design level. In this paper we propose a Data-Centric approach to instantiate, monitor and manage complex workflows. We believe a culture change in the orchestration of services is required to consider their data dependency while modelling workflows. The current process or activity oriented mechanism, utilized in the existing workflow technologies, failed to live up to expectations mainly due to data issues at later stages.

Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The current underlying networks cannot provide dedicated links with adequate end-to-end sustained bandwidth to support the requirements of these Grid applications. DWDM-RAM 1 is a novel service-oriented architecture, which harnesses the enormous bandwidth potential of optical networks and demonstrates their on-demand usage on the OMNInet. Preliminary experiments suggest that dynamic optical networks, such as the OMNInet, are the ideal option for transferring such massive amounts of data. DWDM-RAM incorporates an OGSI/OGSA compliant service interface and will promote greater convergence between dynamic optical networks and data intensive Grid computing.

We present in this paper our reflections about the requirements of new architectures and languages for the Web, confronted with the ones emerging from qualified scientists such as Mc Carthy [1] and Wegner [2]. The contribution highlights if and how these reflections may be concretely realized by means of extensions of non standard models and tools that we have already experimented and that appeared in previous papers (the STROBE model and Phi Calculus). We conclude with the preliminary specifications of a new language for modeling and programming Interactions, called C+C, that represents constructively our approach, privileging the communicational aspects among Autonomous Agents, with respect to the more traditional algorithmic ones.

Grid computing [1, 2] is an emerging technique in parallel computing for distributed resource sharing and problem solving on a global scale for data-intensive or computation-intensive applications. It focuses on dynamic and heterogeneous cooperation of "virtual organizations," innovative applications, and high performance [3]. The participation of scientists and experts in multiple disciplines also permits the implementation of scientific tasks, such as analyzing raw data streams, performing large-scale computations, designing cutting-edge technological products, collaborating on interdisciplinary research, and implementing a complicated scientific computing process [4].

Grid computing, which is characterized by large- scale sharing and collaboration of dynamic resources, is becoming an emerging computing platform on a global scale for data-intensive and computation-intensive application. However, the complications of large-scale scientific computations and simulations harnessing massive computing resources are compounded by extensive heterogeneity in environments arising from "the Grid." Scientists and engineers lack an intuitive grid-based

This paper describes an approach to building Grid applications based on the premise that users who wish to access and run these applications prefer to do so without becoming experts on Grid technology. We describe an application architecture based on wrapping user applications and application workflows as Web services and Web service resources. These services are visible to the users and to resource providers through a family of Grid portal components that can be used to configure, launch, and monitor complex applications in the scientific language of the end user. The applications in this model are instantiated by an application factory service. The layered design of the architecture makes it possible for an expert to

The ability to describe the Grid resources needed by applications is essential for developing seamless access to resources on the Grid. We consider the problem of resource description in the context of a resource broker being developed in the Grid Interoperability Project (GRIP) which is able to broker for resources described by several Grid middleware systems, GT2, GT3 and Unicore. We consider it necessary to utilise a semantic matching of these resource descriptions, firstly because there is currently no common standard, but more fundamentally because we wish to make the Grid transparent at the application level. We show how the semantic approach to resource description facilitates both these aims and present the GRIP broker as a working prototype of this approach.

While numerous efforts have focused on service composition in the Grid environment, service selection among similar services from multiple providers has not been addressed. In particular, all service composition work done so far are based on a given selection of services under a well set environment. As a result, uncertainty (e.g., server load, network traffic, computation time of the services due to changing memory and other unexpected conditions) under a real, dynamic environment has never been considered. This paper prototypes the service selection under a Grid environment and proposes an uncertainty framework to address the issue. Experimental results show that our considerations are valid and our preliminary solution works well in our Globus Grid network.

Computing and networking resources virtualization is the main objective of Grid services. Such a concept is already used in the context of Web-services in the Internet. In the very next years, a large number of applications belonging to various domains (biotechnology, banking, finance, car and aircraft manufacturing, nuclear energy etc.) shall also benefit of Grid services. Admission control is a key functionality for Quality of Service (QoS) provisioning in IP networks, and more specifically for Grid services provisioning. Service differentiation (DS) is a widely deployed technique in the Internet. It operates at the packet level on a best-effort mode. Flow-Aware Networking (FAN) that operates at the scale of the IP flows relies on implicit flow differentiation through priority fair queuing (PFQ). It may be seen as an alternative to DS. A Grid session may be seen as a succession of parallel TCP/IP flows characterized by data transfers with much larger volume than usual TCP/IP flows. In this paper, we propose an extension of FAN for the Grid environment called Grid over FAN (GoFAN). We compare by means of computer simulations the efficiency of Grid over DS (GoDS) and GoFAN. Two variants of GoFAN architectures based on different fair queuing algorithms are considered. In a first step, we provide two short surveys on QoS for Grid environment and on QoS in IP networks repectively.

Collaborative applications usually register user interaction in the form of semi-structured plain text event log data. Extracting and structuring of data is a prerequisite for later key processes such as the analysis of interactions, assessment of group activity, or the provision of awareness and feedback. Yet, in real situations of online collaborative activity, the processing of log data is usually done offline since structuring event log data is, in general, a computationally costly process and the amount of log data tends to be very large. Techniques to speed and scale up the structuring and processing of log data with minimal impact on the performance of the collaborative application are thus desirable to be able to process log data in real time. In this paper, we present a parallel grid-based implementation for processing in real time the event log data generated in collaborative applications. Our results show the feasibility of using grid middleware to speed and scale up the process

Computing and networking resources virtualization is the main objective of Grid services. Such a concept is already used in the context of Web-services in the Internet. In the very next years, a large number of applications belonging to various domains (biotechnology, banking, finance, car and aircraft manufacturing, nuclear energy etc.) shall also benefit of Grid services. Admission control is a key functionality for Quality of Service (QoS) provisioning in IP networks, and more specifically for Grid services provisioning. Service differentiation (DS) is a widely deployed technique in the Internet. It operates at the packet level on a best-effort mode. Flow-Aware Networking (FAN) that operates at the scale of the IP flows relies on implicit flow differentiation through priority fair queuing (PFQ). It may be seen as an alternative to DS. A Grid session may be seen as a succession of parallel TCP/IP flows characterized by data transfers with much larger volume than usual TCP/IP flows. In this paper, we propose an extension of FAN for the Grid environment called Grid over FAN (GoFAN). We compare by means of computer simulations the efficiency of Grid over DS (GoDS) and GoFAN. Two variants of GoFAN architectures based on different fair queuing algorithms are considered. In a first step, we provide two short surveys on QoS for Grid environment and on QoS in IP networks repectively.

This paper describes an approach to building Grid applications based on the premise that users who wish to access and run these applications prefer to do so without becoming experts on Grid technology. We describe an application architecture based on wrapping user applications and application workflows as Web services and Web service resources. These services are visible to the users and to resource providers through a family of Grid portal components that can be used to configure, launch, and monitor complex applications in the scientific language of the end user. The applications in this model are instantiated by an application factory service. The layered design of the architecture makes it possible for an expert to

Abstract. In this article, we outline some issues in agent interaction on the Web, which is the center point of supporting the needs of fully-realized learning GRID in the future. Of particular importance is conversation support, with its core element, communication protocols. We propose to construct communication protocols through concept learning of services generated on the Web. The proposed approach incorporates a machine learning model into a conversation environment for the induction of communication protocols.

Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The current underlying networks cannot provide dedicated links with adequate end-to-end sustained bandwidth to support the requirements of these Grid applications. DWDM-RAM 1 is a novel service-oriented architecture, which harnesses the enormous bandwidth potential of optical networks and demonstrates their on-demand usage on the OMNInet. Preliminary experiments suggest that dynamic optical networks, such as the OMNInet, are the ideal option for transferring such massive amounts of data. DWDM-RAM incorporates an OGSI/OGSA compliant service interface and will promote greater convergence between dynamic optical networks and data intensive Grid computing.

This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.

The U.K. e-Science Programme is a £250 million, five-year initiative which has funded over 100 projects. These application-led projects are underpinned by an emerging set of core middleware services that allow the coordinated, collaborative use of distributed resources. This set of middleware services runs on top of the research network and beneath the applications we call the 'Grid'. Grid middleware is currently in transition from pre-Web Service versions to a new version based on Web Services. Unfortunately, only a very basic set of Web Services embodied in the Web Services Interoperability proposal, WS-I, are agreed by most IT companies. IBM and others have submitted proposals for Web Services for Grids-the Web Services ResourceFramework and Web Services Notification specifications-to the OASIS organization for standardization. This process could take up to 12 months from March 2004 and the specifications are subject to debate and potentially significant changes. Since several significant U.K. e-Science projects come to an end before the end of this process, the U.K. needs to develop a strategy that will protect the U.K.'s investment in Grid middleware by informing the Open Middleware Infrastructure Institute's (OMII) roadmap and U.K. middleware repository in Southampton. This paper sets out an evolutionary roadmap that will allow us to capture generic middleware components from projects in a form that will facilitate migration or interoperability with the emerging Grid Web Services standards and with ongoing OGSA developments. In this paper we therefore define a set of Web Services specifications, which we call 'WS-I+' to reflect the fact that this is a larger set than currently accepted by WS-I, that we believe will enable us to achieve the twin goals of capturing these components and facilitating migration to future standards. We believe that the extra Web Services specifications we have included in WS-I+ are both helpful in building e-Science Grids and likely to be widely accepted.

Resource management is a key issue for large-scale grid environments. In particular, the resource discovery mechanism used highly impacts on the efficiency of resource sharing and cooperative computing. Meanwhile, the increasing size of resources and users in large-scale distributed systems has lead to a scalability problem. The self-organising, fault tolerance and decentralised nature of P2P technology, which helps to reduce the management cost of grid infrastructure, is a good basis for resolving both aforementioned problems. In this context, we propose a self-adaptive structuring model for large-scale P2P grid environments. The proposed specification, called P2P4GS, is generic, i.e. not linked to a particular P2P architecture. Our structuring approach is completely distributed, and requires only local knowledge about neighbouring nodes to implement node virtual community. Indeed, given a node's connection and based on its neighbours, we dynamically create virtual communities or clusters. A particular node called ISP (Information System Proxy) acts as service directory within each cluster. In addition, to provide an efficient lookup mechanism in our system, we proposed to build a spanning tree constituted by the set of ISPs. An experimental validation, through simulation, shows that our approach ensures a high scalability in terms of clusters distribution and communication cost.

Storage capabilities in novel "Health Grids" are quite suitable for the requirements of systems like ICGrid, which captures, stores and manages data and metadata from Intensive Care Units. However, this paradigm depends on widely distributed storage sites, therefore requiring new security mechanisms, able to avoid potential leaks to cope with modification and destruction of stored data under the presence of external or internal attacks. Particular emphasis must be put on the patient's personal data, the protection of which is required by legislations in many countries of the European Union and the world in general. In a previous paper we performed a security analysis of ICGrid, from the point of view of metadata and data, where we found the need to protect the data-at-rest from untrusted Storage Elements (SE). That research also proposed a privacy protocol to protect a patients' private metadata and data. This paper is the follow-up of our previous research, proposing an architecture based on gLite middleware's components, to deploy the contributed privacy protocol. As a proof of concept we show how to implement a Mandatory Access * This work was carried out for the CoreGRID IST project n o 004265, funded by the European Commission.

Abstract. In this article, we outline some issues in agent interaction on the Web, which is the center point of supporting the needs of fully-realized learning GRID in the future. Of particular importance is conversation support, with its core element, communication protocols. We propose to construct communication protocols through concept learning of services generated on the Web. The proposed approach incorporates a machine learning model into a conversation environment for the induction of communication protocols.

This paper provides a single broad model for the analysis of a range of issues underlying a market for Grid services. The demand and the supply sides of such a market are being treated separately and the relation between the two sides is being studied. We provide numerical results in order to derive conclusions about the viability of a market for Grid services. Underlying our model are parameters such as the cost technologies, the random processes driving demand and supply and the size of the market. We study the effect of the model's parameters, such as risk aversion or the durability of resources, on the system's behavior, eg. on the clearing price or volume of trade.

In this paper, the current energy mix and the power generation infrastructure of Turkey have been analyzed and two different hydrogen based alternative scenarios applied on Burdur TIMES energy model to foresee the economic and environmental results in the 2016 e2031 time period. An improved RES was created to illustrate the current energy network of Burdur city and to determine the relationships between energy carriers and the respective technologies, and then this structure is specified by the relevant data, including fuel cell-powered land vehicle technologies integrated into the land transportation demand side. This paper analyses the feasibility of hydrogen as an alternative energy carrier in the fuel mix for electricity generation in Burdur City to achieve sustainable economic growth, to improve the energy security by minimizing respective environmental emissions and indicate the possible implications of the introduction of the hydrogen supply chain and respective fuel cell end-use technologies in a city level energy modelling perspective. Burdur is selected as the target city to implement the designated level of land transport passenger demand by hydrogen technologies; and after implementation of hydrogen cars in 2020; it has been evaluated that only 0.09 PJ of hydrogen car activity prevents a total of 43.44 kT CO 2 emission in Burdur, addressing the 8% of the total emission in the base scenario between the analysis time horizon. Finally, hydrogen has been evaluated as a clean, dependable option to diversify the energy mix on the current energy supply system of Burdur.

This paper began its life as an unpublished technical review [20] of the proposed Open Grid Services Architecture (OGSA) as described in the papers, "The Physiology of the Grid" [1] by Ian Foster, Carl Kesselman, Jeffrey Nick and Steven Tuecke, and "The Grid Service Specification (Draft 2/15/02) [2]" by Foster, Kesselman, Tuecke and Karl Czajkowski, Jeffrey Fry and Steve Graham. However, much has changed since the publication of the original documents. The architecture has evolved substantially and the vast majority of our initial concerns have been addressed. In this paper we will describe the evolution of the specification from its original form to the current draft of 10/4/02 authored by S. Tuecke, K. Czajkowski, J. Frey, S. Graham, C. Kesselman, and P. Vanderbilt, which is now the central component of the Global Grid Forum Open Grid Service Infrastructure (OGSI) working group which is co-chaired by Steven Tuecke and David Snelling.

Abstract: This paper presents a Job Rotation management tool and the method in which the architecture of Grid/Web Services can compose a knowledge Grid to facilitate access to vocational training courses and in this way, provide an integrated solution for both ...

Multi-state model of electrolysis systems operating in dynamic conditions. Mathematical formulation of the multi-state model. Optimal hourly dispatch of grid connected electrolysis systems. Testing of the model with a real case study against a two states model. Sensitivity analysis for the case study including yearly results.

We present in this paper our reflections about the requirements of new architectures and languages for the Web, confronted with the ones emerging from qualified scientists such as Mc Carthy [1] and Wegner [2]. The contribution highlights if and how these reflections may be concretely realized by means of extensions of non standard models and tools that we have already experimented and that appeared in previous papers (the STROBE model and Phi Calculus). We conclude with the preliminary specifications of a new language for modeling and programming Interactions, called C+C, that represents constructively our approach, privileging the communicational aspects among Autonomous Agents, with respect to the more traditional algorithmic ones.

Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The current underlying networks cannot provide dedicated links with adequate end-to-end sustained bandwidth to support the requirements of these Grid applications. DWDM-RAM 1 is a novel service-oriented architecture, which harnesses the enormous bandwidth potential of optical networks and demonstrates their on-demand usage on the OMNInet. Preliminary experiments suggest that dynamic optical networks, such as the OMNInet, are the ideal option for transferring such massive amounts of data. DWDM-RAM incorporates an OGSI/OGSA compliant service interface and will promote greater convergence between dynamic optical networks and data intensive Grid computing.

In today's distributed applications, semi automatic and semantic composition of workflows from Grid services is becoming an important challenge. We focus in this paper on how to model and compose interactively workflow applications from Grid services without considering lower level description of the Grid environment. To reach this objective, we propose a Model-Driven Approach for developing such applications based on semantic and syntactic descriptions of services available on the Grid and abstract description provided by UML activity diagram language as well. As there are particular needs for modeling composed workflows interactively from Grid services, we propose to extend the UML activity diagram notation. These extensions deal with additional information allowing an interactive and semi automatic composition of workflows. In addition this specific domain language contains appropriate data to describe matched Grid services that are useful for the execution of the obtained workflows.

Abstract: Industrial application development approaches are striving for solutions that promote the rapid development of flexible and adaptable systems and the exploitation of legacy systems and resources. The Service-oriented Development (SOD) paradigm, a current trend in software development, could be beneficial to industrial application development approaches. However, the heterogeneity in existing standards and protocols for the discovery of the various service types is an obstacle for the use of SOD in industry. This paper addresses this issue by proposing a solution that supports the unified discovery of heterogeneous services and thus supporting the use of SOD in industry. The proposed solution comprises a generic service model (GeSMO), which facilitates the specification of heterogeneous services, a query language called Unified Service Query Language (USQL), based on GeSMO, which facilitates the unified discovery of heterogeneous services within heterogeneous service regist...

This paper provides an overview of our research activities aimed at efficient use of Grid infrastructure to solve various text mining tasks. Grid-enabling of various text mining tasks was mainly driven by increasing volume of processed data. Utilizing the Grid services approach therefore enables to perform various text mining scenarios and also open ways to design distributed modifications of existing methods. Especially, some parts of mining process can significantly benefit from decomposition paradigm, in particular in this study we present our approach to data-driven decomposition of decision tree building algorithm, clustering algorithm based on self-organizing maps and its application in conceptual model building task using the FCA-based algorithm. Work presented in this paper is rather to be considered as a 'proof of concept' for design and implementation of decomposition methods as we performed the experiments mostly on standard textual databases.

In today's distributed applications, semi automatic and semantic composition of workflows from Grid services is becoming an important challenge. We focus in this paper on how to model and compose interactively workflow applications from Grid services without considering lower level description of the Grid environment. To reach this objective, we propose a Model-Driven Approach for developing such applications based on semantic and syntactic descriptions of services available on the Grid and abstract description provided by UML activity diagram language as well. As there are particular needs for modeling composed workflows interactively from Grid services, we propose to extend the UML activity diagram notation. These extensions deal with additional information allowing an interactive and semi automatic composition of workflows. In addition this specific domain language contains appropriate data to describe matched Grid services that are useful for the execution of the obtained wo...

This paper describes a task repository, a device semantic interface to express device capabilities, and an advice algorithm that suggests the best task-device pair to satisfy a request. The purpose of the task repository is the adaptation of a pervasive environment (Ambient Intelligence) to support natural language applications, such as a natural language interface. The task repository has a predefined group of concepts linked to linguistic and semantic resources and is updated, at runtime, with task descriptors associated with a set of heterogeneous devices. We assume that each device, belonging to the pervasive environment, holds its own semantic interface essentially composed of task descriptors. This approach tries to reach the ubiquitous essence of natural language, because the coverage of handmade lexical resources is limited, coverage problems remain for applications involving specific domains or involving multiple languages. Furthermore, we reduce the interface device problem to a database access problem. An environment simulator with the respective set of devices is depicted.

Civil servants, and especially those engaged in social services, have similar needs all over Europe to access and elaborate information on training and employment offers in order to deliver the best possible service to those who have the right. This work extends the Web Services that collect and offer up-to-date information on training and job offers from different web sources matched to the needs of each case (Karadimas and Papastamatiou 2008) to address the Grid architecture. Grid architecture can be defined as a layer of secure networked services that allow users single sign-on access to a distributed collection of data resources, offering up-to-date information on training and job offers from different web resources. The proposed architecture, as it will include personal data that must be secured from unauthorized access, will be based on the Open Grid Services Architecture (OGSA) that defines standard mechanisms for creating, naming, and discovering transient Grid service insta...

This paper presents a knowledge architecture and set of ontologies that can be used as the foundation to facilitate the matching of abstract resource requests to services and resources, to determine the functional equivalence of Grid middlewares and deployments and to allow the description of 'hybrid' compound Grids composed of individual heterogeneous Grids. This is necessary as in all these cases what is required is mediation between different views or descriptions of Grids, which requires a formal reference vocabulary. We present a framework and ontologies for achieving this.