Ganesha

Autor: Xinghao Pan, Soila Kavulya, Jiaqi Tan, Priya Narasimhan, Rajeev Gandhi

Publikováno v: ACM SIGMETRICS Performance Evaluation Review. 37:8-13

Ganesha aims to diagnose faults transparently (in a black-box manner) in MapReduce systems, by analyzing OS-level metrics. Ganesha's approach is based on peer-symmetry under fault-free conditions, and can diagnose faults that manifest asymmetrically

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4007b5a7cff00ad973b53f731b94f219
https://doi.org/10.1145/1710115.1710118

Light-weight black-box failure detection for distributed systems

Autor: Soila Kavulya, Rajeev Gandhi, Jiaqi Tan, Priya Narasimhan

Publikováno v: Proceedings of the 2012 workshop on Management of big data systems.

Detecting failures in distributed systems is challenging, as modern datacenters run a variety of applications. Current techniques for detecting failures often require training, have limited scalability, or have results that are hard to interpret. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6203f4fcfe11fa42100374dcbd5adc0
https://doi.org/10.1145/2378356.2378360

Failure Diagnosis of Complex Systems

Autor: Kaustubh Joshi, Priya Narasimhan, Felicita Di Giandomenico, Soila Kavulya

Publikováno v: Resilience Assessment and Evaluation of Computing Systems, edited by Wolter K., Avritzer A., Vieira M., van Moorsel A., pp. 239–261. Berlin: Springer-Verlag, 2012
Resilience Assessment and Evaluation of Computing Systems ISBN: 9783642290312
Resilience Assessment and Evaluation of Computing Systems
info:cnr-pdr/source/autori:Kavulya S. P., Joshi K., Di Giandomenico F., Narasimhan P./titolo:Failure Diagnosis of Complex Systems./titolo_volume:Resilience Assessment and Evaluation of Computing Systems/curatori_volume:Wolter K., Avritzer A., Vieira M., van Moorsel A./editore: /anno:2012

Failure diagnosis is the process of identifying the causes of impairment in a system’s function based on observable symptoms, i.e., determining which fault led to an observed failure. Since multiple faults can often lead to very similar symptoms, f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2729c84b04f277680a4ffbf80965f1
https://openportal.isti.cnr.it/doc?id=people______::9a5bfb5bed5ad75f774fd83457b72700

Practical experiences with chronics discovery in large telecommunications systems

Autor: Kaustubh Joshi, Soila Kavulya, Scott Daniels, Matti A. Hiltunen, Rajeev Gandhi, Priya Narasimhan

Publikováno v: Managing Large-scale Systems via the Analysis of System Logs and the Application of Machine Learning Techniques.

Chronics are recurrent problems that fly under the radar of operations teams because they do not perturb the system enough to set off alarms or violate service-level objectives. The discovery and diagnosis of never-before seen chronics poses new chal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::634b38a0ed1e96c1b6f2d31508d535ce
https://doi.org/10.1145/2038633.2038640

Kahuna: Problem diagnosis for Mapreduce-based cloud computing environments

Autor: Rajeev Gandhi, Xinghao Pan, Eugene Marinelli, Soila Kavulya, Jiaqi Tan, Priya Narasimhan

Publikováno v: NOMS

We present Kahuna, an approach that aims to diagnose performance problems in MapReduce systems. Central to Kahuna's approach is our insight on peer-similarity, that nodes behave alike in the absence of performance problems, and that a node that behav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11f8e0b83c0cc06ad5c1c4c1450043c7
https://doi.org/10.1109/noms.2010.5488446