Detecting anomaly in big data system logs using convolutional neural network
Nowadays, big data systems are being widely adopted by many domains for offering
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …
Log-based abnormal task detection and root cause analysis for spark
Application delays caused by abnormal tasks arecommon problems in big data computing
frameworks. Anabnormal task in Spark, which may run slowly withouterror or warning logs …
frameworks. Anabnormal task in Spark, which may run slowly withouterror or warning logs …
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark
As big data processing is being widely adopted by many domains, massive amount of
generated data become more reliant on the parallel computing platforms for analysis …
generated data become more reliant on the parallel computing platforms for analysis …
Mrapid: An efficient short job optimizer on hadoop
Data have been generated and collected at an accelerating pace. Hadoop has made
analyzing large scale data much simpler to developers/analysts using commodity hardware …
analyzing large scale data much simpler to developers/analysts using commodity hardware …
Rapid full-wave centroid moment tensor (CMT) inversion in a three-dimensional earth structure model for earthquakes in Southern California
A central problem of seismology is the inversion of regional waveform data for models of
earthquake sources. In regions such as Southern California, preliminary 3-D earth structure …
earthquake sources. In regions such as Southern California, preliminary 3-D earth structure …
Emerging computational challenges in cloud computing and RTEAH algorithm based solution
The new era of computation has given new directions for advancement and sophistication.
The meaning of computation has made a paradigm shift from device and location orientation …
The meaning of computation has made a paradigm shift from device and location orientation …
Cloud computing for integrated stochastic groundwater uncertainty analysis
One of the major scientific challenges and societal concerns is to make informed decisions
to ensure sustainable groundwater availability when facing deep uncertainties. A major …
to ensure sustainable groundwater availability when facing deep uncertainties. A major …
Improvement of job completion time in data-intensive cloud computing applications
IA Ibrahim, M Bassiouni - Journal of Cloud Computing, 2020 - Springer
Task stragglers in MapReduce jobs dramatically impede job execution of data-intensive
computing in cloud data centers. This impedance is due to the uneven distribution of input …
computing in cloud data centers. This impedance is due to the uneven distribution of input …
Rapid 3d seismic source inversion using windows azure and amazon ec2
V Subramanian, H Ma, L Wang… - 2011 IEEE World …, 2011 - ieeexplore.ieee.org
With its rapid development, cloud computing has been increasingly adopted by scientists for
large-scale scientific computation. Compared to the traditional computing platforms such as …
large-scale scientific computation. Compared to the traditional computing platforms such as …
TraceBoK: Toward a software requirements traceability body of knowledge
This paper introduces the idea of building a body of knowledge (BoK) to gather the better
practices in software requirements traceability that could bring major benefits for analyzing …
practices in software requirements traceability that could bring major benefits for analyzing …