A grid-enabled Web Map server

Today Geographic Information Systems (GIS) provide several tools for studying and analyzing varied human and natural phenomena, therefore GIS and geospatial data has grown so much in both public and private organizations. A Challenge is the integration of these data to get innovative and exhaustive knowledge about topics of interest. In this paper we describe the design of a Web Map Service (WMS) OGC-compliant, through the use of grid computing technology and demonstrate how this approach can improve, w.r.t. security, performance, efficiency and scalability, the integration of geospatial multi-source data. End users, with a single sign-on, securely and transparently, gets maps whose data are distributed on heterogeneous data sources belonging to one o more Virtual Organizations via distributed queries in a grid computing environment

Sensorml-Nt: Innovative Cloud Service Sensor Description For Mobile Devices Handling Environmental Issues.

Peranti mudah alih hari ini boleh didapati di mana-mana dan semakin banyak dilengkapi dengan set pengesan terbenam yang berkuasa. Today’s mobile devices are pervasive and equipped with growing sets of powerful embedded sensors

Service level agreements in spatial data infrastructures

Die vorliegende Arbeit entwickelt ein Konzept für die Integration von Service Level Agreements (SLAs) in Geodateninfrastrukturen (GDIs). Der ausgewählten mehrstufigen Ansatz beinhaltet die Entwicklung eines abstrakten SLA-Modells und einer web-basierten SLA-Management-Architektur. Das Ziel des abstrakten SLA-Modells ist die konzeptionelle Beschreibung der Struktur und des Inhaltes von SLAs speziell für die ausgewählten Anwendungsbereiche. Der Zweck der web-basierten SLA-Management-Architektur ist es, die (Online-) Aushandlung von SLAs in bereits existierenden GDIs zu ermöglichen, ohne dass eine vorherige (Offline-) Kommunikation zwischen Dienstanbieter und Dienstnutzer vonnöten ist. Der gewählte Policy-basierte Ansatz deckt nicht nur die Aushandlung von SLAs und die eigentliche Dienstnutzung ab, es wird der vollständige Lebenszyklus von SLAs unterstützt. Dazu gehört sowohl die permanente Überwachung der angebotenen Dienste als auch die permanente Evaluierung aller aktiven SLAs.This thesis develops a concept for the integration of Service Level Agreements (SLAs) in Spatial Data Infrastructure (SDIs). The selected multi-step approach involves the development of an abstract SLA model and a web-based SLA management architecture. The aim of the abstract SLA model is to describe the domain-specific structure and content of SLAs that can be applied in SDIs from a conceptual point of view. The purpose of the web-based SLA management architecture is to enable the on-demand and online negotiation of SLAs in established SDIs without the need of prior offline communication between service providers and service consumers. The selected policy-based approach covers not only agreement negotiation and service consumption, but also the complete agreement life cycle including service monitoring and agreement evaluation.<br/

Design, Implementation and Deployment of Grid-based Information Service and portlets

Abstract: The core of this paper was developed by the Key Laboratory of Spatial Data Mining &amp; Information Sharing (LSDMIS) of Fuzhou University (CN) and it is further developed and presented by its partner university -the University of West Hungary, Faculty of Geoinformatics (HU) -in the framework of the Science and Technology bi-lateral programme. The paper deals with the use of Grid computing services to support nature conservation and biodiversity management. The study area is located in the Wuyi Mountain, a natural reserve with the largest and most representative semitropical original forest ecosystem in China and where biodiversity preservation is a priority. At present, the research on biodiversity of Wuyi Mountain mainly focused on fieldwork and produced abundant observation data. By doing mapping and dynamic remote-sensing monitoring on biodiversity of Wuyi Mountain, and then publishing relevant information with the use of geographical information service and virtual simulation model through grid computing technology, it could provide decision support for biodiversity protection and rare species preservation. Another point is to reveal the status and characteristic of biodiversity of Wuyi Mountain, to effectively protect and reasonably utilize local biodiversity, and to promote regional sustainable development. How to share and distribute information and knowledge about biodiversity between the professionals working in this area is a key point for the protection of rare plants and animals. This paper describes how the gridbased information sharing technology can be used and introduces the GeoKSGrid platform developed by the University of Fuzhou. The geographical knowledge grid platform (GeoKSGrid) is build upon the mainstream grid middleware Globus toolkit 4. The paper explains how grid-based information services and portlets were designed and implemented. By using grid services to publish spatial data in GML and virtual models of plants in VRML format, registering and deploying services into the GeoKSGrid platform, the outcomes of research on biodiversity protection could be more easily accessed by other researchers

Geospatial Web Services, Open Standards, and Advances in Interoperability: A Selected, Annotated Bibliography

This paper is designed to help GIS librarians and information specialists follow developments in the emerging field of geospatial Web services (GWS). When built using open standards, GWS permits users to dynamically access, exchange, deliver, and process geospatial data and products on the World Wide Web, no matter what platform or protocol is used. Standards/specifications pertaining to geospatial ontologies, geospatial Web services and interoperability are discussed in this bibliography. Finally, a selected, annotated list of bibliographic references by experts in the field is presented

Sensor web geoprocessing on the grid

Recent standardisation initiatives in the fields of grid computing and geospatial sensor middleware provide an exciting opportunity for the composition of large scale geospatial monitoring and prediction systems from existing components. Sensor middleware standards are paving the way for the emerging sensor web which is envisioned to make millions of geospatial sensors and their data publicly accessible by providing discovery, task and query functionality over the internet. In a similar fashion, concurrent development is taking place in the field of grid computing whereby the virtualisation of computational and data storage resources using middleware abstraction provides a framework to share computing resources. Sensor web and grid computing share a common vision of world-wide connectivity and in their current form they are both realised using web services as the underlying technological framework. The integration of sensor web and grid computing middleware using open standards is expected to facilitate interoperability and scalability in near real-time geoprocessing systems. The aim of this thesis is to develop an appropriate conceptual and practical framework in which open standards in grid computing, sensor web and geospatial web services can be combined as a technological basis for the monitoring and prediction of geospatial phenomena in the earth systems domain, to facilitate real-time decision support. The primary topic of interest is how real-time sensor data can be processed on a grid computing architecture. This is addressed by creating a simple typology of real-time geoprocessing operations with respect to grid computing architectures. A geoprocessing system exemplar of each geoprocessing operation in the typology is implemented using contemporary tools and techniques which provides a basis from which to validate the standards frameworks and highlight issues of scalability and interoperability. It was found that it is possible to combine standardised web services from each of these aforementioned domains despite issues of interoperability resulting from differences in web service style and security between specifications. A novel integration method for the continuous processing of a sensor observation stream is suggested in which a perpetual processing job is submitted as a single continuous compute job. Although this method was found to be successful two key challenges remain; a mechanism for consistently scheduling real-time jobs within an acceptable time-frame must be devised and the tradeoff between efficient grid resource utilisation and processing latency must be balanced. The lack of actual implementations of distributed geoprocessing systems built using sensor web and grid computing has hindered the development of standards, tools and frameworks in this area. This work provides a contribution to the small number of existing implementations in this field by identifying potential workflow bottlenecks in such systems and gaps in the existing specifications. Furthermore it sets out a typology of real-time geoprocessing operations that are anticipated to facilitate the development of real-time geoprocessing software.EThOS - Electronic Theses Online ServiceEngineering and Physical Sciences Research Council (EPSRC) : School of Civil Engineering & Geosciences, Newcastle UniversityGBUnited Kingdo

D19 final plan for using and disseminating knowledge

This document presents the Final Plan for Using and Disseminating Knowledge acquired throughout the development of the CYCLOPS project as deliverable D19. It includes a description of the main achievements in disseminating knowledge, and the consortium and each participant’s plans for the exploitation of the results for the consortium as a whole, or for individual participants or groups of participants. It updates the Plan for Using and Disseminating Knowledge that was presented as Deliverable D4 and describes the final dissemination plan of the CYCLOPS project. This deliverable provides a strategy aimed at addressing various target communities in order to achieve the project dissemination and exploitation goals. After an update of the dissemination instruments employed, the deliverable focuses on the description of the dissemination activities carried out. In addition to the normal dissemination and exploitation of the work through scientific journals and professional bodies, Civil Protection Community will be specifically targeted for dissemination of the CYCLOPS deliverables, and their future exploitation of the results. Other written deliverables focus on presenting dissemination activities in specific subject areas. In particular deliverable D17 reports “the results of the dissemination of EGEE towards the Civil Protection community, and about the coordination between the EGEE and CYCLOPS activities”, deliverable D18 focuses on “collecting the CYCLOPS project results for dissemination towards different interested audiences such as Grid communities, other Civil protection agencies, but also national and international initiative and projects, SMEs, etc.” and deliverable D20 that reports “the extent to which actors beyond the research community have been involved to help spread awareness and to explore the wider societal implications of the proposed work

Self-adaptive Grid Resource Monitoring and discovery

The Grid provides a novel platform where the scientific and engineering communities can share data and computation across multiple administrative domains. There are several key services that must be offered by Grid middleware; one of them being the Grid Information Service( GIS). A GIS is a Grid middleware component which maintains information about hardware, software, services and people participating in a virtual organisation( VO). There is an inherent need in these systems for the delivery of reliable performance. This thesis describes a number of approaches which detail the development and application of a suite of benchmarks for the prediction of the process of resource discovery and monitoring on the Grid. A series of experimental studies of the characterisation of performance using benchmarking, are carried out. Several novel predictive algorithms are presented and evaluated in terms of their predictive error. Furthermore, predictive methods are developed which describe the behaviour of MDS2 for a variable number of user requests. The MDS is also extended to include job information from a local scheduler; this information is queried using requests of greatly varying complexity. The response of the MDS to these queries is then assessed in terms of several performance metrics. The benchmarking of the dynamic nature of information within MDS3 which is based on the Open Grid Services Architecture (OGSA), and also the successor to MDS2, is also carried out. The performance of both the pull and push query mechanisms is analysed. GridAdapt (Self-adaptive Grid Resource Monitoring) is a new system that is proposed, built upon the Globus MDS3 benchmarking. It offers self-adaptation, autonomy and admission control at the Index Service, whilst ensuring that the MIDS is not overloaded and can meet its quality-of-service,f or example,i n terms of its average response time for servicing synchronous queries and the total number of queries returned per unit time