Empirical analysis of database server scalability using an N-tier benchmark with read-intensive workload

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2010, Pages 1680-1687

  Malkowski, Simon ^a   Jayasinghe, Deepal ^a   Hedwig, Markus ^b   Park, Junhee ^a   Kanemasa, Yasuhiko ^c   Pu, Calton ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF FREIBURG   (Germany)

^c FUJITSU LABORATORIES LTD   (Japan)

Author keywords

bottleneck; database replication; distributed systems; middleware; N tier applications; RUBBoS

Indexed keywords

APPLICATION SERVERS; DATA-BASE MANAGEMENT SYSTEMS; DATA-BASE SERVERS; DATABASE REPLICATION; DISTRIBUTED SYSTEMS; EMPIRICAL ANALYSIS; EMPIRICAL DATA; EXPERIMENTAL EVALUATION; FULL SCALE; GLOBAL CONSISTENCY; HARDWARE RESOURCES; INTERACTION PATTERN; NONSTATIONARY; PERFORMANCE EVALUATION; POSTGRESQL; SYSTEM THROUGHPUT;

BENCHMARKING; MANAGEMENT INFORMATION SYSTEMS; MIDDLEWARE; SCALABILITY; SERVERS;

DISTRIBUTED DATABASE SYSTEMS;

EID: 77954753828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774449     Document Type: Conference Paper

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