Decision-Support Workload Characteristics on a Clustered Database Server from the OS Perspective

A range of database services are being offered on clusters of workstations today to meet the demanding needs of applications with voluminous datasets, high computational and I/O requirements and a large number of users. The underlying database engine runs on cost-effective off-the-shelf hardware and software components that may not really be tailored/tuned for these applications. At the same time, many of these databases have legacy codes that may not be easy to modulate based on the evolving capabilities and limitations of clusters. An indepth understanding of the interaction between these database engines and the underlying operating system (OS) can identify a set of characteristics that would be extremely valuable for future research on systems support for these environments. To our knowledge, there is no prior work that has embarked on such a characterization for a clustered database server. Using IBM DB2 Universal Database (UDB) Extended Enterprise Edition (EEE) V7.2 Trial versio...

• Type: Conference
• Year: 2003
• Where: ICDCS
• Authors: Yanyong Zhang, Jianyong Zhang, Anand Sivasubramaniam, Chun Liu, Hubertus Franke
• Keywords: Cost-effective Off-the-shelf Hardware, Database Engine, Distributed And Parallel Computing, ICDCS 2003, Operating System