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» System log pre-processing to improve failure prediction
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KDD
2001
ACM
237views Data Mining» more  KDD 2001»
14 years 8 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...
SRDS
2008
IEEE
14 years 1 months ago
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Distributed storage systems often use data replication to mask failures and guarantee high data availability. Node failures can be transient or permanent. While the system must ge...
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei ...
ICPP
2006
IEEE
14 years 1 months ago
A PROactive Request Distribution (PRORD) Using Web Log Mining in a Cluster-Based Web Server
Widely adopted distributor-based systems forward user requests to a balanced set of waiting servers in complete transparency to the users. The policy employed in forwarding reques...
Heung Ki Lee, Gopinath Vageesan, Ki Hwan Yum, Eun ...
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
13 years 11 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
ICPP
1999
IEEE
13 years 12 months ago
Coherence-Centric Logging and Recovery for Home-Based Software Distributed Shared Memory
The probability of failures in software distributed shared memory (SDSM) increases as the system size grows. This paper introduces a new, efficient message logging technique, call...
Angkul Kongmunvattana, Nian-Feng Tzeng