The dark side of event sourcing: Managing data conversion

Overeem, Michiel; Spoor, Marten; Jansen, Slinger

doi:10.1109/saner.2017.7884621

“…In regard to the event-driven and CEP-based approaches for runtime monitoring, Fowler [23] proposed an event sourcing model that facilitates the traceability of the changes over time of the application state as an event sequence. However, event sourcing can be costly in terms of performance [45] since this model tracks every change leading up to a state. The present work describes an event-driven approach integrating CEP to both monitor event streams efficiently, and also deal with scalability problems through the use of temporal graphs for historical data.…”

Section: Runtime Monitoringmentioning

confidence: 99%

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning

Parra-Ullauri

¹

,

García‐Domínguez

²

,

Bencomo

³

et al. 2021

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…This data storage model keeps track of every data change without removing earlier events [33]. The stored event streams can be queried on demand for monitoring [27] or retroactive computing purposes [26]. A problem with event sourcing is that keeping track of not only the current state, but also every change leading up to that state could be costly on terms of performance [27].…”

Section: Related Work 51 Event-driven Approaches For Runtime Monitoringmentioning

confidence: 99%

“…The stored event streams can be queried on demand for monitoring [27] or retroactive computing purposes [26]. A problem with event sourcing is that keeping track of not only the current state, but also every change leading up to that state could be costly on terms of performance [27]. On the contrary, the present paper describes an event-driven approach with the use of CEP for efficient event streams monitoring and deal with scalability problems through the use of temporal graphs for historical data.…”

Section: Related Work 51 Event-driven Approaches For Runtime Monitoringmentioning

confidence: 99%

Towards an architecture integrating complex event processing and temporal graphs for service monitoring

Parra-Ullauri

¹

,

García‐Domínguez

²

,

Boubeta‐Puig

³

et al. 2021

Proceedings of the 36th Annual ACM Symposium on Applied Computing

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Using the snapshot architecture, the current state of an order can be stored in a row of a relational table Order. When using the event sourcing (log) [17], the application persists each order as a sequence of events e.g., listing the creation of the order, its update with customer details and the addition of each line item.…”

Section: Microservices As a Federated Multidatabasementioning

confidence: 99%

Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management

Manouvrier

¹

,

Pautasso

²

,

Rukoz

³

2020

Lecture Notes in Computer Science

1

0

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

The dark side of event sourcing: Managing data conversion

Cited by 23 publications

References 26 publications

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning

Towards an architecture integrating complex event processing and temporal graphs for service monitoring

Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management

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