Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Performance anomalies"'
Autor:
Ahmad Alnafessah, Giuliano Casale
Publikováno v:
IEEE Access, Vol 8, Pp 146613-146626 (2020)
Software applications can feature intrinsic variability in their execution time due to interference from other applications or software contention from other users, which may lead to unexpectedly long running times and anomalous performance. There is
Externí odkaz:
https://doaj.org/article/7b347f7e31054a0eaff259dfc3d7304d
Conference
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Autor:
Marra, Carmine
Anomaly detection in computer systems operating within complex environments,such as cyber-physical systems (CPS), has become increasingly popularduring these last years due to useful insights this process can provide aboutcomputer systems’ health c
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-114919
Autor:
Bruce K. Wylie, Yingxin Gu
Publikováno v:
Remote Sensing, Vol 2, Iss 8, Pp 1880-1891 (2010)
This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005–2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution
Externí odkaz:
https://doaj.org/article/4a8f935444f148cb88c923c7f770348c
Publikováno v:
INFOCOM 2021-IEEE International Conference on Computer Communications
INFOCOM 2021-IEEE International Conference on Computer Communications, May 2021, Vancouver / Virtual, Canada. ⟨10.1109/INFOCOM42981.2021.9488832⟩
INFOCOM
HAL
INFOCOM 2021-IEEE International Conference on Computer Communications, May 2021, Vancouver / Virtual, Canada. ⟨10.1109/INFOCOM42981.2021.9488832⟩
INFOCOM
HAL
International audience; Web performance anomalies (e.g. time periods when metrics like page load time are abnormally high) have significant impact on user experience and revenues of web service providers. Existing methods to automatically detect web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6377dd7a545c32b73207775471823913
https://inria.hal.science/hal-03109717
https://inria.hal.science/hal-03109717
Autor:
Giuliano Casale, Ahmad Alnafessah
Publikováno v:
IEEE Access
IEEE Access, Vol 8, Pp 146613-146626 (2020)
IEEE Access, Vol 8, Pp 146613-146626 (2020)
Software applications can feature intrinsic variability in their execution time due to interference from other applications or software contention from other users, which may lead to unexpectedly long running times and anomalous performance. There is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0c29e0932ed6b2c8a959a8bdf5ce50a
http://hdl.handle.net/10044/1/82093
http://hdl.handle.net/10044/1/82093
Autor:
Naikade, Priyanka Prakash
Publikováno v:
Electronic Thesis and Dissertation Repository
Context: With an increasing number of applications running on a microservices-based cloud system (such as AWS, GCP, IBM Cloud), it is challenging for the cloud providers to offer uninterrupted services with guaranteed Quality of Service (QoS) factors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1548::80d8dadadd346623144c6ed579cb2502
https://ir.lib.uwo.ca/context/etd/article/9560/viewcontent/auto_convert.pdf
https://ir.lib.uwo.ca/context/etd/article/9560/viewcontent/auto_convert.pdf
Autor:
Ahmad Alnafessah, Giuliano Casale
Publikováno v:
Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools
VALUETOOLS 2020
VALUETOOLS
VALUETOOLS 2020
VALUETOOLS
Due to the growth of Big Data processing technologies and cloud computing services, it is common to have multiple tenants share the same computing resources, which may cause performance anomalies. There is an urgent need for an effective performance
Kniha
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Akademický článek
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