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

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

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Feature interaction networks

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

Content Provider	ACM Digital Library
Author	Hedwig, Markus Pu, Calton Jayasinghe, Deepal Malkowski, Simon Park, Junhee Kanemasa, Yasuhiko
Abstract	The performance evaluation of database servers in N-tier applications is a serious challenge due to requirements such as non-stationary complex workloads and global consistency management when replicating database servers. We conducted an experimental evaluation of database server scalability and bottleneck identification in N-tier applications using the RUBBoS benchmark. Our experiments are comprised of a full scale-out mesh with up to nine database servers and three application servers. Additionally, the fourtier system was run in a variety of configurations, including two database management systems (MySQL and PostgreSQL), two hardware node types (normal and low-cost), and two database replication techniques (C-JDBC and MySQL Cluster). In this paper we present the analysis of results generated with a read-intensive interaction pattern (browse-only workload) in the client emulator. These empirical data can be divided into two kinds. First, for a relatively small number of servers, we find simple hardware resource bottlenecks. Consequently, system throughput increases with an increasing number of database (and application) servers. Second, when sufficient hardware resources are available, non-obvious database related bottlenecks have been found that limit system throughput. While the first kind of bottlenecks shows that there are similarities between database and application/web server scalability, the second kind of bottlenecks shows that database servers have significantly higher sophistication and complexity that require in-depth evaluation and analysis.
Starting Page	1680
Ending Page	1687
Page Count	8
File Format	PDF
ISBN	9781605586397
DOI	10.1145/1774088.1774449
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-03-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bottleneck Distributed systems Database replication Rubbos Middleware N-tier applications
Content Type	Text
Resource Type	Article

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