Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Christofer Flinta"'
Publikováno v:
IEEE Transactions on Network and Service Management. 18:2350-2364
We predict the conditional distributions of service metrics, such as response time or frame rate, from infrastructure measurements in a networked environment. From such distributions, key statistics of the service metrics, including mean, variance, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7776c265ae5ebaefc5d6803605cdc65b
https://doi.org/10.1109/tnsm.2021.3077357
https://doi.org/10.1109/tnsm.2021.3077357
Publikováno v:
NOMS
In this paper we describe and evaluate an approach for predicting conditional RTT probability distributions in an IoT system. From the distributions we derive conditional mean and quantiles, for example, which are essential for performance management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::133053afe905cc33fc731bd81fc978bb
https://doi.org/10.1109/noms47738.2020.9110315
https://doi.org/10.1109/noms47738.2020.9110315
Autor:
Christofer Flinta, Andreas Johnsson, Rolf Stadler, Farnaz Moradi, Tim Josefsson, Rafael Pasquini, Jawwad Ahmed
Publikováno v:
NOMS
Service assurance for cloud applications is a challenging task and is an active area of research for academia and industry. One promising approach is to utilize machine learning for service quality prediction and fault detection so that suitable miti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ff50471a2c4ae62c460de5ac42f0b21
https://doi.org/10.1109/noms.2018.8406234
https://doi.org/10.1109/noms.2018.8406234
Autor:
Rolf Stadler, Rafael Pasquini, Andreas Johnsson, Jawwad Ahmed, Christofer Flinta, Farnaz Moradi
Publikováno v:
Networking
The ability to predict conformance or violation for given Service-level Agreements (SLAs) is critical for service assurance. We demonstrate a prototype for real-time conformance prediction based on the concept of the capacity region, which abstracts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64cc1131b20d535ef171ad4f6e4cc3e5
https://doi.org/10.23919/ifipnetworking.2017.8264873
https://doi.org/10.23919/ifipnetworking.2017.8264873
Autor:
Andreas Johnsson, Christofer Flinta, Rolf Stadler, Farnaz Moradi, Rafael Pasquini, Jawwad Ahmed
Publikováno v:
IM
Automated detection and diagnosis of the performance faults in cloud and datacenter environments is a crucial task to maintain smooth operation of different services and minimize downtime. We demonstrate an effective machine learning approach based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9af30b9d9e6e38714608d096161219f8
https://doi.org/10.23919/inm.2017.7987390
https://doi.org/10.23919/inm.2017.7987390
Publikováno v:
IM
The popularity of container technologies and their widespread usage for building microservices demands solutions dedicated for efficient monitoring of containers and their interactions. In this paper we present ConMon, an automated system for monitor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2485ea76cb4fd3debb8fcbc1c3e6d10d
https://doi.org/10.23919/inm.2017.7987264
https://doi.org/10.23919/inm.2017.7987264
Autor:
Rafael Pasquini, Jawwad Ahmed, Christofer Flinta, Rolf Stadler, Farnaz Moradi, Andreas Johnsson
Publikováno v:
IM
Predicting resource requirements for cloud services is critical for dimensioning, anomaly detection and service assurance. We demonstrate a system for real-time estimation of the needed amount of infrastructure resources, such as CPU and memory, for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89eaa04d2f562426f5b148d27446a57e
https://doi.org/10.23919/inm.2017.7987392
https://doi.org/10.23919/inm.2017.7987392
Publikováno v:
Networking
Passive monitoring of network performance parameters is experiencing a revival due to widespread adoption of virtualization and software-based implementation of network functions. Timestamping is one of the most challenging operations needed for pass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca016c9747dbda3a1ed0874c7042461
https://doi.org/10.1109/ifipnetworking.2016.7497236
https://doi.org/10.1109/ifipnetworking.2016.7497236
Autor:
Andreas Johnsson, Christofer Flinta, Jawwad Ahmed, Rolf Stadler, Rerngvit Yanggratoke, John Ardelius
Publikováno v:
NOMS
Service assurance for the telecom cloud is a challenging task and is continuously being addressed by academics and industry. One promising approach is to utilize machine learning to predict service quality in order to take early mitigation actions. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee0cac312c744a3eb9c291b87aa0811
https://doi.org/10.1109/noms.2016.7502913
https://doi.org/10.1109/noms.2016.7502913
Publikováno v:
IM
Active measurements tools transmit probe packets between a sender and a receiver to estimate performance metrics such as round-trip time, jitter and loss. In this paper we evaluate how KVM virtualization affects measurements of performance metrics, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e300eff074675bf89b58b69761fcc9c7
https://doi.org/10.1109/inm.2015.7140382
https://doi.org/10.1109/inm.2015.7140382