Multidimensional access methods
ACM Computing Surveys (CSUR)
A Tree Based Access Method (TBSAM) for Fast Processing of Aggregate Queries
Proceedings of the Fourth International Conference on Data Engineering
Capturing, indexing, clustering, and retrieving system history
Proceedings of the twentieth ACM symposium on Operating systems principles
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Detailed diagnosis in enterprise networks
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Online System Problem Detection by Mining Patterns of Console Logs
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
A stateful approach to generate synthetic events from Kernel traces
Advances in Software Engineering
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In this paper, we present a framework to compute, store and retrieve statistics of various system metrics from large traces in an efficient way. The proposed framework allows for rapid interactive queries about system metrics values for any given time interval. In the proposed framework, efficient data structures and algorithms are designed to achieve a reasonable query time while utilizing less disk space. A parameter termed granularity degree (GD) is defined to determine the threshold of how often it is required to store the precomputed statistics on disk. The solution supports the hierarchy of system resources and also different granularities of time ranges. We explain the architecture of the framework and show how it can be used to efficiently compute and extract the CPU usage and other system metrics. The importance of the framework and its different applications are shown and evaluated in this paper.