Search Results - "Flinta, Christofer"

Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators by Flinta, Christofer, Yan, Wenqing, Johnsson, Andreas

“…In this paper we describe and evaluate an approach for predicting conditional RTT probability distributions in an IoT system. From the distributions we derive…”
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Conditional Density Estimation of Service Metrics for Networked Services by Samani, Forough Shahab, Stadler, Rolf, Flinta, Christofer, Johnsson, Andreas

“…We predict the conditional distributions of service metrics, such as response time or frame rate, from infrastructure measurements in a networked environment…”
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A service‐agnostic method for predicting service metrics in real time by Yanggratoke, Rerngvit, Ahmed, Jawwad, Ardelius, John, Flinta, Christofer, Johnsson, Andreas, Gillblad, Daniel, Stadler, Rolf

“…Summary We predict performance metrics of cloud services using statistical learning, whereby the behaviour of a system is learned from observations…”
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Online network performance degradation localization using probabilistic inference and change detection by Johnsson, Andreas, Meirosu, Catalin, Flinta, Christofer

“…Detecting and localizing performance degradations is a difficult problem that increases in importance as telecom network transition to all-packet equipment…”
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Automated diagnostic of virtualized service performance degradation by Ahmed, Jawwad, Josefsson, Tim, Johnsson, Andreas, Flinta, Christofer, Moradi, Farnaz, Pasquini, Rafael, Stadler, Rolf

“…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…”
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Predicting SLA conformance for cluster-based services using distributed analytics by Ahmed, Jawwad, Johnsson, Andreas, Yanggratoke, Rerngvit, Ardelius, John, Flinta, Christofer, Stadler, Rolf

“…Service assurance for the telecom cloud is a challenging task and is continuously being addressed by academics and industry. One promising approach is to…”
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Structures of N‐terminally acetylated proteins by PERSSON, Bengt, FLINTA, Christofer, HEIJNE, Gunnar, JÖRNVALL, Hans

“…Primary structures of 250 characterized proteins with N‐terminally acetylated residues were correlated with residue distributions and other data. Excluding…”
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Machine-Learning Based Active Measurement Proxy for IoT Systems by Yan, Wenqing, Flinta, Christofer, Johnsson, Andreas

“…Network operators are accustomed to using IP-layer active measurements for assessing end-to-end network performance and expect that new technology, such as…”
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Demonstration: Predicting Distributions of Service Metrics by Shahab, Forough, Stadler, Rolf, Johnsson, Andreas, Flinta, Christofer

“…The ability to predict conditional distributions of service metrics is key to understanding end-to-end service behavior. From conditional distributions, other…”
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ConMon: An automated container based network performance monitoring system by Moradi, Farnaz, Flinta, Christofer, Johnsson, Andreas, Meirosu, Catalin

“…The popularity of container technologies and their widespread usage for building microservices demands solutions dedicated for efficient monitoring of…”
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Predicting service metrics for cluster-based services using real-time analytics by Yanggratoke, Rerngvit, Ahmed, Jawwad, Ardelius, John, Flinta, Christofer, Johnsson, Andreas, Gillblad, Daniel, Stadler, Rolf

“…Predicting the performance of cloud services is intrinsically hard. In this work, we pursue an approach based upon statistical learning, whereby the behaviour…”
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Scalability and Dimensioning of Network-Capacity Measurement System using Reflecting Servers by Ekelin, Svante, Johnsson, Andreas, Flinta, Christofer

“…In a class of methods for measurement of available path capacity and other capacity-related metrics in a network, trains of probe packets are transmitted from…”
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On time-stamp accuracy of passive monitoring in a container execution environment by Moradi, Farnaz, Flinta, Christofer, Johnsson, Andreas, Meirosu, Catalin

“…Passive monitoring of network performance parameters is experiencing a revival due to widespread adoption of virtualization and software-based implementation…”
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Predicting real-time service-level metrics from device statistics by Yanggratoke, Rerngvit, Ahmed, Jawwad, Ardelius, John, Flinta, Christofer, Johnsson, Andreas, Gillblad, Daniel, Stadler, Rolf

“…While real-time service assurance is critical for emerging telecom cloud services, understanding and predicting performance metrics for such services is hard…”
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KVM virtualization impact on active round-trip time measurements by Dantas, Ramide, Sadok, Djamel, Flinta, Christofer, Johnsson, Andreas

“…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…”
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Predicting SLA conformance for cluster-based services by Pasquini, Rafael, Moradi, Farnaz, Ahmed, Jawwad, Johnsson, Andreas, Flinta, Christofer, Stadler, Rolf

“…The ability to predict conformance or violation for given Service-level Agreements (SLAs) is critical for service assurance. We demonstrate a prototype for…”
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Online approach to performance fault localization for cloud and datacenter services by Ahmed, Jawwad, Johnsson, Andreas, Moradi, Farnaz, Pasquini, Rafael, Flinta, Christofer, Stadler, Rolf

“…Automated detection and diagnosis of the performance faults in cloud and datacenter environments is a crucial task to maintain smooth operation of different…”
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Real-time resource prediction engine for cloud management by Flinta, Christofer, Johnsson, Andreas, Ahmed, Jawwad, Moradi, Farnaz, Pasquini, Rafael, Stadler, Rolf

“…Predicting resource requirements for cloud services is critical for dimensioning, anomaly detection and service assurance. We demonstrate a system for…”
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Predicting SLA Violations in Real Time using Online Machine Learning by Ahmed, Jawwad, Johnsson, Andreas, Yanggratoke, Rerngvit, Ardelius, John, Flinta, Christofer, Stadler, Rolf

“…Detecting faults and SLA violations in a timely manner is critical for telecom providers, in order to avoid loss in business, revenue and reputation. At the…”
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A platform for predicting real-time service-level metrics from device statistics by Yanggratoke, Rerngvit, Ahmed, Jawwad, Ardelius, John, Flinta, Christofer, Johnsson, Andreas, Gillblad, Daniel, Stadler, Rolf

“…Predicting performance metrics for cloud services is critical for real-time service assurance. We demonstrate a platform for estimating real-time service-level…”
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