A ROBUST PARALLEL FRAMEWORK FOR MASSIVE SPATIAL DATA PROCESSING ON HIGH PERFORMANCE CLUSTERS

اسناد مشابه

• A Robust Parallel Framework for Massive Spatial Data Processing on High Performance Clusters

  سند علمی۲۰۱۲Xuefeng Guan

  Massive spatial data requires considerable computing power for real-time processing. With the help of the development of multicore technology and computer component cost reduction in recent years, high performance clusters become the only economically viable solution for this req

• Hypergraph+: An Improved Hypergraph-Based Task-Scheduling Algorithm for Massive Spatial Data Processing on Master-Slave Platforms

  سند علمی۲۰۱۶ISPRS Int. J. Geo-InformationBo Cheng, Xuefeng Guan, Huayi Wu, Rui Li

  Bo Cheng 1,2, Xuefeng Guan 1,2,*, Huayi Wu 1,2 and Rui Li 1,2 1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; chengbo@whu.edu.cn (B.C.); wuhuayi@whu.edu.cn (H.W.); ruili@whu.edu.cn

• Hypergraph+: An Improved Hypergraph-Based Task-Scheduling Algorithm for Massive Spatial Data Processing on Master-Slave Platforms

  مقاله‌ی دسترسی آزاد۲۰۱۶ISPRS International Journal of Geo-InformationBoCheng, XuefengGuan, HuayiWu, RuiLi

• Survey and Performance Evaluation of DBSCAN Spatial Clustering Implementations for Big Data and High-Performance Computing Paradigms

  سند علمی۲۰۱۶Helmut Neukirchen

  Big data is often mined using clustering algorithms. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a popular spatial clustering algorithm. However, it is computationally expensive and thus for clustering big data, parallel processing is required. The two

• Big Spatial Data Processing Frameworks: Feature and Performance Evaluation

  سند علمی۲۰۱۷EDBTStefan Hagedorn, Philipp Götze, Kai-Uwe Sattler

  Nowadays, a vast amount of data is generated and collected every moment and often, this data has a spatial and/or temporal aspect. To analyze the massive data sets, big data platforms like Apache Hadoop MapReduce and Apache Spark emerged and extensions that take the spatial chara

• Optimizing Message Aggregation for Parallel Simulation on High Performance Clusters

  سند علمی۱۹۹۹MASCOTSCongDuc Pham, Carsten Albrecht

  High performance clusters (HPCs) based on commodity hardware are becoming more and more popular in the parallel computing community. These new platforms offer a hardware capable of a very low latency and a very high throughput at an unbeatable cost, making them attractive for a l