Hawick et al., 2003 - Google Patents
Distributed frameworks and parallel algorithms for processing large-scale geographic dataHawick et al., 2003
View PDF- Document ID
- 15098882272371354532
- Author
- Hawick K
- Coddington P
- James H
- Publication year
- Publication venue
- Parallel Computing
External Links
Snippet
The number of applications that require parallel and high-performance computing techniques has diminished in recent years due to to the continuing increase in power of PC, workstation and mono-processor systems. However, Geographic information systems (GIS) …
- 238000000034 method 0 abstract description 33
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30873—Retrieval from the Internet, e.g. browsers by navigation, e.g. using categorized browsing, portals, synchronized browsing, visual networks of documents, virtual worlds or tours
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30067—File systems; File servers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hawick et al. | Distributed frameworks and parallel algorithms for processing large-scale geographic data | |
Krishnan et al. | OpenTopography: a services oriented architecture for community access to LIDAR topography | |
Chen et al. | Cloud computing enabled web processing service for earth observation data processing | |
Li et al. | A general-purpose framework for parallel processing of large-scale LiDAR data | |
Schnase et al. | Big data challenges in climate science: Improving the next-generation cyberinfrastructure | |
Chen et al. | Use of grid computing for modeling virtual geospatial products | |
Hawick | A web-based interface for on-demand processing of satellite imagery archives | |
Montella et al. | Processing of crowd-sourced data from an internet of floating things | |
Astsatryan et al. | An interoperable web portal for parallel geoprocessing of satellite image vegetation indices | |
Munteanu | Data Cubes and Cloud-Native Environments for Earth Observation: An Overview | |
Hu et al. | TopoLens: Building a CyberGIS community data service for enhancing the usability of high-resolution national topographic datasets | |
Li et al. | Dps-MuSyQ: a distributed parallel processing system for multi-source data synergized quantitative remote sensing products producing | |
Kerry et al. | Spatial interpolation on distributed, high-performance computers | |
Xue et al. | The use of high-performance and high-throughput computing for the fertilization of digital earth and global change studies | |
Hendrix et al. | Camp: Community access MODIS pipeline | |
Sciacca et al. | Towards a big data exploration framework for astronomical archives | |
Yuen et al. | Remote data analysis, visualization and problem solving environment (PSE) based on wavelets in the geosciences | |
Huang et al. | Open Source Exploratory Analysis of Big Earth Data With NEXUS | |
Cai et al. | Experience of remote sensing information modelling with grid computing | |
Chandola et al. | iGlobe: an interactive visualization and analysis framework for geospatial data | |
Mahmoud et al. | Data provenance and management in radio astronomy: A stream computing approach | |
Chang et al. | Leveraging the cloud for robust and efficient lunar image processing | |
Kepner et al. | Cluster detection in databases: The adaptive matched filter algorithm and implementation | |
Xue et al. | Workload and task management of Grid-enabled quantitative aerosol retrieval from remotely sensed data | |
Goller et al. | Radar image processing with clusters of computers |