The High Performance and Wide Area Analysis and Mining of Scientific & Engineering Data

Grossman, R.

University of Illinois at Chicago (United States)

关键词: Data Analysis;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Information Retrieval;    Algorithms;    Internet;   

DOI  :  10.2172/836590
RP-ID  :  NONE
RP-ID  :  FG02-92ER25133
RP-ID  :  836590

美国|英语

来源: UNT Digital Library

【 摘 要 】

This final report summarizes our accomplishments and findings and includes recent publications occurring in the final period of this award. One of our research goals was to develop algorithms and services for remote data analysis and distributed data mining which scaled from the commodity internet to high performance networks. When we began the project there was no effective mechanisms to achieve high end to end performance for data intensive applications over wide area, high bandwidth networks. For this reason, we developed algorithms and services for Layers 2,3, and 4 in the simple data web application stack below. We describe our research accomplishments for each of these layers in turn: Layer 4--Data Web Applications; Layer 3--Data Web Services; Layer 2--Network Protocol Services; Layer 1--IP.