Development of Grid e-Infrastructure in South-Eastern Europe

Over the period of 6 years and three phases, the SEE-GRID programme has established a strong regional human network in the area of distributed scientific computing and has set up a powerful regional Grid infrastructure. It attracted a number of user communities and applications from diverse fields from countries throughout the South-Eastern Europe. From the infrastructure point view, the first project phase has established a pilot Grid infrastructure with more than 20 resource centers in 11 countries. During the subsequent two phases of the project, the infrastructure has grown to currently 55 resource centers with more than 6600 CPUs and 750 TBs of disk storage, distributed in 16 participating countries. Inclusion of new resource centers to the existing infrastructure, as well as a support to new user communities, has demanded setup of regionally distributed core services, development of new monitoring and operational tools, and close collaboration of all partner institution in managing such a complex infrastructure. In this paper we give an overview of the development and current status of SEE-GRID regional infrastructure and describe its transition to the NGI-based Grid model in EGI, with the strong SEE regional collaboration.Comment: 22 pages, 12 figures, 4 table

Research to Support Intelligent Data Management

This final report details the contract performance and analysis of research and development results obtained during the contract period. KT-TECH's research and development work results in the areas of registration of remotely sensed data and the test evaluation and porting of the Regional Validation Center software system, are presented

Advancing Cyberinfrastructure for Collaborative Data Sharing and Modeling in Hydrology

Hydrologic research is increasingly data and computationally intensive, and often involves hydrologic model simulation and collaboration among researchers. With the development of cyberinfrastructure, researchers are able to improve the efficiency, impact, and effectiveness of their research by utilizing online data sharing and hydrologic modeling functionality. However, further efforts are still in need to improve the capability of cyberinfrastructure to serve the hydrologic science community. This dissertation first presents the evaluation of a physically based snowmelt model as an alternative to a temperature index model to improve operational water supply forecasts in the Colorado River Basin. Then it presents the design of the functionality to share multidimensional space-time data in the HydroShare hydrologic information system. It then describes a web application developed to facilitate input preparation and model execution of a snowmelt model and the storage of these results in HydroShare. The snowmelt model evaluation provided use cases to evaluate the cyberinfrastructure elements developed. This research explored a new approach to advance operational water supply forecasts and provided potential solutions for the challenges associated with the design and implementation of cyberinfrastructure for hydrologic data sharing and modeling

A systems architecture-based approach to assess candidate upgrades to complex systems

Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2012."September 2012." Cataloged from PDF version of thesis.Includes bibliographical references (p. 163-167).The Compatibility Assessment Method (CAM), a new structured process for assessing compatibility between parent systems and child subsystems is proposed and applied to several cases where subsystems are being replaced in legacy systems. CAM is a screening process intended to be used by project managers who need to replace components of complex systems. The functional model-based process uses an extension of the Integrated Definition Modeling Language of IDEFO. The IDEFO method is used for defining compatibility measures based on each of the four constituent arrows that show inputs, controls, outputs, and mechanisms (ICOM). In this extension, the control constituents are replaced with constraints. Each of the ICOM constituents is expanded with parameters which include metrics and values. The ICOMs with their parameters and metrics are then used to characterize two or more subsystems in a matrix format. The differences between these matrices are entered into the sparse "Delta Matrix" which shows analysts the differences between the systems. These differences can be assigned to the appropriate levels of technical expertise to be analyzed and to determine feasibility of the child subsystem in the parent system. The process is compared to current practices in government unmanned aircraft system program offices to determine the usefulness of adopting this compatibility assessment process. This dissertation outlines the need for and development of the method for application by practitioners responsible for replacing subsystems on legacy systems. The development includes evaluations of the method and an experiment with cohorts of student system engineers to compare the output of the Compatibility Assessment Method to less-structured methods. This research contributes additional insight into system architecting theory and proposes a structured method for practitioners to use to improve the processes to perform part replacement in legacy systems. While others have offered methods to measure aspects of system architecture, this proposed method moves beyond the extant literature with tools for practitioners.by David Scott Andrew Long.Ph.D

User response and organisational fit for information systems in Earth observation

A group of seventy six scientists and data managers in the Australian research agency CSIRO were surveyed to establish their needs and preferences in relation to information systems for Earth observation data. After study of available alternatives, three prototype Earth observation information management systems were installed and the user response was evaluated through interview of fifteen of the group. The prototypes consisted of web-based client servers which permitted users to interrogate databases of Earth observation datasets; to search for information about sensor or satellite performance, and to retrieve data and information products. The chosen systems were CILS, the CEOS (Committee on Earth Observation Satellites) Information Location System; IDN, the CEOS International Directory Network; and JMS, NASA\u27s Information Management System of EOSDIS, the Earth Observing System Data and Information System. For this study, no special effort was taken to populate the system directories and inventories with local data holdings, and the prototypes were essentially mirror sites of operational data management systems used in other parts of the world. While some of the interviewed scientists expressed enthusiasm for web based spatial information management approaches, all indicated that improvements should be sought in the prototypes to make them more user-oriented, intuitive, and responsive. Most of the interview group were experienced remote sensing researchers who had developed their own contacts with overseas peers and data providers. Several in this category expressed the vithem, unless the scientists changed discipline, application or geographic area of interest. On the other hand, several individual research projects or organisational units of CSIRO, as a result of these trials, were considering utilising one of more of the prototypes - particularly the IMS - to address their current unfulfilled requirements for data management. The study also found that while all fifteen of the interviewees felt they could benefit in some way from electronic information retrieval and spatial data management systems of the type assessed, it seemed unlikely that the target organisation would ever assign a sufficient priority to implement any of them in a systematic manner. The biggest impediment to an organisation-wide approach to spatial data management for Earth observation was the low priority assigned to information management, because this activity was considered supporting or non-core in relation to the central objective of scientific research. Results indicated that a piecemeal, decentralised or federated approach was the only means by which systems of this type could feasibly be introduced into the operating environment of CSIRO, in the absence of a major external forcing mechanism. This observation was compared to the evolution of EOSDIS, which had demonstrated a marked change from a centralised to a federated paradigm due to user preferences similar to those observed in the CSIRO case

Big Data Computing for Geospatial Applications

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms