Cube Data Model for Multilevel Statistics Computation of Live Execution Traces
Submitted by Anonymous (not verified) on Thu, 2013-04-18 17:46
In this paper, we proposed an efficient architecture, the corresponding data structures and algorithms to compute multilevel, multidimensional statistics of different system metrics over a stream of execution trace events.
The details of the proposed method and experimental results are presented in the paper.
Date:
Thursday, April 18, 2013
Publication authors (members):
Michel Dagenais
Naser Ezzati Jivan
Publisher:
Wiley Concurrency and Computation: Practice and Experience
Publication version number:
1.00
Bibtex:
@article {CPE:CPE3272,
author = {Ezzati-Jivan, Naser and Dagenais, Michel R.},
title = {Cube data model for multilevel statistics computation of live execution traces},
journal = {Concurrency and Computation: Practice and Experience},
volume = {27},
number = {5},
issn = {1532-0634},
url = {http://dx.doi.org/10.1002/cpe.3272},
doi = {10.1002/cpe.3272},
pages = {1069--1091},
keywords = {stream processing, multilevel analysis, OLAP analysis, trace abstraction, Linux kernel},
year = {2015},
}
Publication status:
Submitted
Publication link:
Tracks concerned:
- AHLS›Scalable Observation infrastructure - Advanced host-based Centralized data store and software pattern identification