Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults
Log-based anomaly detection has been widely studied and achieves a satisfying
performance on stable log data. But, the existing approaches still fall short meeting these …
performance on stable log data. But, the existing approaches still fall short meeting these …
Fail-slow at scale: Evidence of hardware performance faults in large production systems
HS Gunawi, RO Suminto, R Sears, C Golliher… - ACM Transactions on …, 2018 - dl.acm.org
Fail-slow hardware is an under-studied failure mode. We present a study of 114 reports of
fail-slow hardware incidents, collected from large-scale cluster deployments in 14 …
fail-slow hardware incidents, collected from large-scale cluster deployments in 14 …
Applying data mining techniques to predict annual yield of major crops and recommend planting different crops in different districts in Bangladesh
ATMS Ahamed, NT Mahmood… - 2015 IEEE/ACIS …, 2015 - ieeexplore.ieee.org
Agricultural crop production depends on various factors such as biology, climate, economy
and geography. Several factors have different impacts on agriculture, which can be …
and geography. Several factors have different impacts on agriculture, which can be …
Localizing faults in cloud systems
By leveraging large clusters of commodity hardware, the Cloud offers great opportunities to
optimize the operative costs of software systems, but impacts significantly on the reliability of …
optimize the operative costs of software systems, but impacts significantly on the reliability of …
Performance-aware management of cloud resources: a taxonomy and future directions
SK Moghaddam, R Buyya… - ACM Computing Surveys …, 2019 - dl.acm.org
The dynamic nature of the cloud environment has made the distributed resource
management process a challenge for cloud service providers. The importance of …
management process a challenge for cloud service providers. The importance of …
tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces
The traditional approach for performance debugging relies upon performance profilers (eg,
gprof, VTune) that provide average function runtime information. These aggregate statistics …
gprof, VTune) that provide average function runtime information. These aggregate statistics …
Swisslog: Robust anomaly detection and localization for interleaved unstructured logs
Modern distributed systems generate interleaved logs when running in parallel. Identifiers
(ID) are always attached to them to trace running instances or entities in logs. Therefore, log …
(ID) are always attached to them to trace running instances or entities in logs. Therefore, log …
[PDF][PDF] Very low power pipelines using significance compression
Very Low Power Pipelines using Significance Compression Page 1 Abstract Data,
addresses, and instructions are compressed by maintaining ¡ only significant bytes with two …
addresses, and instructions are compressed by maintaining ¡ only significant bytes with two …
A systematic mapping study of software performance research
Context: Software performance is crucial for ensuring the quality of software products. As
one of the non‐functional requirements, the few efforts devoted to software performance …
one of the non‐functional requirements, the few efforts devoted to software performance …
CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment
Modern computing systems especially cloud-based and cloud-centric systems always
consist of a mass of components running in large distributed environments with complicated …
consist of a mass of components running in large distributed environments with complicated …