Name
Abstract | ||
|---|---|---|
NoSQL systems have become the vital components to deliver big data services in the Cloud. However, existing NoSQL systems rely on experienced administrators to configure and tune the wide range of configurable parameters in order to achieve high performance. In this paper, we present a policy-driven configuration management system for NoSQL systems, called PCM. PCM can identify workload sensitive configuration parameters and capture the tuned parameters for different workloads as configuration policies. PCM also can be used to analyze the range of configuration parameters that may impact on the runtime performance of NoSQL systems in terms of read and write workloads. The configuration optimization recommended by PCM can enable NoSQL systems such as HBase to run much more efficiently than the default settings for both individual worker node and entire cluster in the Cloud. Our experimental results show that HBase under the PCM configuration outperforms the default configuration and some simple configurations on a range of workloads with offering significantly higher throughput. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CLOUD.2015.41 | CLOUD |
Keywords | Field | DocType |
policy-driven configuration management,Big data service,NoSQL system,PCM configuration | Workload,Computer science,Real-time computing,NoSQL,Throughput,Configuration management,Big data,Operating system,Cloud computing,Distributed computing | Conference |
ISSN | Citations | PageRank |
2159-6182 | 0 | 0.34 |
References | Authors | |
16 | 5 | |