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Volumn 18, Issue 4, 2010, Pages 1026-1039

A machine learning approach to TCP throughput prediction

Author keywords

Active measurements; machine learning; support vector regression; TCP throughput prediction

Indexed keywords

ACTIVE MEASUREMENT; BULK TRANSFER; FILE TRANSFERS; GROUND TRUTH; HEAVY TRAFFICS; MACHINE-LEARNING; MULTIPLE-PATH; PATH PROPERTIES; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; TCP THROUGHPUT; TCP THROUGHPUT PREDICTION; TRAFFIC CONDITIONS; TRAFFIC OVERHEAD; WIDE AREA;

EID: 77955759093     PISSN: 10636692     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNET.2009.2037812     Document Type: Article
Times cited : (117)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.