DocumentCode
717138
Title
A scalable lightweight performance monitoring tool for storage clusters
Author
Bauer, Daniel ; Feridun, Metin
Author_Institution
IBM Res. Zurich Lab., Rüschlikon, Switzerland
fYear
2015
fDate
11-15 May 2015
Firstpage
1008
Lastpage
1013
Abstract
Distributed infrastructures providing cloud services as well as compute- and storage clusters are notoriously difficult to administer and optimize. Management applications benefit from up-to-date data on system performance. This paper describes the Performance Monitoring and Management System (PMMS), a light-weight and versatile performance monitoring tool that collects hundreds of thousands of metrics per second and delivers this information as time-series in near real-time. At its core lies an in-memory database that scales through federation to large clusters of several hundreds of nodes. Data is collected using sensors which collect and periodically send their metric data to the PMMS collectors. Designed as a component that is embeddable into a larger system, PMMS is light-weight, with little impact on the system resources and it is easy to install and to configure.
Keywords
cloud computing; database management systems; monitoring; pattern clustering; storage management; time series; PMMS collector; cloud services; compute-cluster; distributed infrastructure; in-memory database; lightweight performance monitoring tool; metric data; performance monitoring and management system; storage cluster; system performance; time-series; versatile performance monitoring tool; Databases; Measurement; Memory management; Monitoring; Sensor systems; Servers; Monitoring; clusters; distributed systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
Conference_Location
Ottawa, ON
Type
conf
DOI
10.1109/INM.2015.7140426
Filename
7140426
Link To Document