The SEQUOIA 2000 storage benchmark
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An Adaptive Flocking Algorithm for Spatial Clustering
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Distributed data mining on the grid
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Simulation of a cellular landslide model with CAMELOT on high performance computers
Parallel Computing - Special issue: High performance computing with geographical data
CAMELotGrid: A Grid-based PSE for Autonomic Cellular Applications
PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
Programming scientific and distributed workflow with Triana services: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
An autonomic tool for building self-organizing Grid-enabled applications
Future Generation Computer Systems
Distributed data mining in grid computing environments
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Webservices oriented data mining in knowledge architecture
Future Generation Computer Systems
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Swarm-Based distributed clustering in peer-to-peer systems
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Weka4WS: a WSRF-enabled weka toolkit for distributed data mining on grids
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Extending the SOA paradigm to e-Science environments
Future Generation Computer Systems
Editorial: Special section: Data management for eScience
Future Generation Computer Systems
Grid-enabled Spatial Data Infrastructure for environmental sciences: Challenges and opportunities
Future Generation Computer Systems
Autonomic management of workflows on hybrid grid-cloud infrastructure
Proceedings of the 7th International Conference on Network and Services Management
WPS mediation: An approach to process geospatial data on different computing backends
Computers & Geosciences
Future Generation Computer Systems
Business intelligence in risk management: Some recent progresses
Information Sciences: an International Journal
Hi-index | 0.01 |
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining resources and a portal framework in unique work environment called MOSE. Using MOSE, a user can easily compose and execute geo-workflows for analyzing and managing natural disasters such as landslides, earthquakes, floods, wildfires, etc. MOSE is designed to be applicable both for the implementation of response strategies when emergencies occur and for disaster prevention. It takes advantage of the standardized resource access and workflow support for loosely coupled software components provided by web/grid services technologies. The integration of workflows with data mining services significantly improves data analysis. Geospatial data management and mining are critical areas of modern-day geosciences research. An important challenge for geospatial information mining is the distributed nature of the data. MOSE provides knowledge discovery services based on the WEKA data mining library and novel distributed data mining algorithms for spatial data analysis. A P2P bio-inspired algorithm for distributed spatial clustering as an example of distributed knowledge discovery service for intensive data analysis is presented. A real case application for the analysis of landslide hazard areas in the Campania Region near the Sarno area shows the advantages of using the portal.