Leveraging run time knowledge about event rates to improve memory utilization in wide area data stream filtering

Proceedings of the IEEE International Symposium on High Performance Distributed Computing

Volumn 2002-January, Issue , 2002, Pages 171-178

  Plale, B ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

Application software; Computer science; Filtering; Large scale systems; Memory management; Relational databases; Runtime; Scalability; Scheduling algorithm; Wide area measurements

Indexed keywords

ALGORITHMS; APPLICATION PROGRAMS; COMPUTER SCIENCE; DATA COMMUNICATION SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; FILTRATION; GEODESY; KNOWLEDGE MANAGEMENT; LARGE SCALE SYSTEMS; MEMORY ARCHITECTURE; SCALABILITY; SCHEDULING; SCHEDULING ALGORITHMS; SURVEYING;

ADAPTIVE CAPABILITIES; AVERAGE SERVICE TIME; FIRST COME FIRST SERVED; LARGE-SCALE APPLICATIONS; MEMORY MANAGEMENT; RELATIONAL DATABASE; RUNTIMES; WIDE AREA MEASUREMENT;

MULTITASKING;

EID: 33746321861     PISSN: 10828907     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPDC.2002.1029916     Document Type: Conference Paper

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