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» Performance Evaluation with Heavy Tailed Distributions
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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 5 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
EUROPAR
2004
Springer
14 years 1 months ago
Scheduling of MPI Applications: Self-co-scheduling
Scheduling parallel jobs has been an active investigation area. The scheduler has to deal with heterogeneous workloads and try to obtain throughputs and response times such that en...
Gladys Utrera, Julita Corbalán, Jesú...
MOBIHOC
2006
ACM
14 years 7 months ago
Data storage placement in sensor networks
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...
Bo Sheng, Qun Li, Weizhen Mao
CLUSTER
2006
IEEE
14 years 1 months ago
Resource Management for Interactive Jobs in a Grid Environment
1 Most recent Grid middleware technologies have been aimed at the execution of sequential batch jobs. However, some users require interactive access when running jobs on Grid sites...
Enol Fernández, Elisa Heymann, Miquel A. Se...
ASAP
2005
IEEE
104views Hardware» more  ASAP 2005»
14 years 1 months ago
Power Breakdown Analysis for a Heterogeneous NoC Platform Running a Video Application
Users expect future handhelddevices to provide extended multimedia functionality and have long battery life. This type of application imposes heavy constraints on performance and ...
Andy Lambrechts, Praveen Raghavan, Anthony Leroy, ...