DocumentCode :
1973029
Title :
An Ontology-Based Framework for Model-Driven Analysis of Situations in Data Centers
Author :
Yu Deng ; Sarkar, Rituparna ; Ramasamy, Hari ; Hosn, Rafah ; Mahindru, R.
Author_Institution :
IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
288
Lastpage :
295
Abstract :
The capability to analyze systems and applications is commonly needed in data centers to address diverse problems such as root cause analysis of performance problems and failures, investigation of security attack propagation, and problem determination for predictive maintenance. Such analysis is typically facilitated by a hodgepodge of procedural code and scripts representing heuristics to be applied, and configuration databases representing state. As entities in the data center and relationships among them change, it is a challenge to keep the analysis tools up-to-date. We describe a framework that is based primarily on the principle of interpreting declarative representations of knowledge rather than capturing such knowledge in procedural code, and a variety of techniques for facilitating the continuous update of knowledge and state. A metamodel representing data center-specific domain knowledge forms the foundation for the framework. A model of the data center topological elements is an instantiation of the metamodel. Using the framework, we present a methodology for conducting a variety of analyses as a model-driven topology subgraph traversal, governed by knowledge embedded in the corresponding metamodel nodes. We apply the methodology to perform root cause analysis of performance problems in the domains of 3-tier Web and InfoSphere Streams applications.
Keywords :
computer centres; graph theory; ontologies (artificial intelligence); program diagnostics; 3-tier Web applications; InfoSphere Streams applications; configuration database; data center topological elements model; data center-specific domain knowledge; metamodel; model-driven simulation analysis; model-driven topology subgraph traversal; ontology-based framework; predictive maintenance; procedural code; procedural scripts; security attack propagation; Analytical models; Data models; Knowledge engineering; Measurement; Network topology; Servers; Topology; Dynamic Metamodel and Model updates; Metamodel; Model; Model based analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2013 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5026-8
Type :
conf
DOI :
10.1109/SCC.2013.98
Filename :
6649707
Link To Document :
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