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Sashko Ristov

Assistant Professor

University of Innsbruck

Austria

Research Interests

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About

Dr. Sashko Ristov is an Assistant Professor at Universität Innsbruck, Austria. His research focuses on scalable and federated serverless computing, with recent articles exploring backend services, workflows, and resilient function orchestration in cloud environments. Dr. Ristov is particularly interested in the application of decentralized machine learning in healthcare systems and the development of architectures for ultrascale cloud applications.

Articles (17)

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2026

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2021

Collaborators (6)

Sebastian Hegenbart

Vorarlberg University of Applied Sciences

AUSTRIA

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Romina Eramo

University of Teramo

ITALY

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Dragi Kimovski

Assistant Professor (Habilitated)

Alpen-Adria-Universität Klagenfurt

AUSTRIA

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Peter Kepplinger

Head of Research Center Energy, illwerke vkw Endowed Professor for Energy Effiiciency

Vorarlberg University of Applied Sciences

AUSTRIA

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Philipp Gritsch

University of Innsbruck

AUSTRIA

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Thomas Fahringer

full Professor

University of Innsbruck

AUSTRIA

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Sashko Ristov

Research Interests

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Articles (17)

Barriers and enablers for traceability and federation in model-based digital twin engineering

DAGless: Automating End-to-End Support for Serverless DAG Lifecycles With Cost-Efficient Execution

Evaluating Large Language Models for Automated Serverless Workflow Generation

Load forecasting for households and energy communities: Are deep learning models worth the effort?

Comprehensive overview of quantum serverless: Elastic integration of quantum and classical computing

Scale Interoperable Composite Backend Services With AFCL Workflows in Serverless Sky Computing

FlexiDigital: A Comprehensive Approach to Energy Flexibility Services using Digital Twins and Large Language Models

StoreLess: Serverless Workflow Scheduling with Federated Storage in Sky Computing

pyStorageLess: Leveraging Von Neumann’s Architecture to Abstract Storage Heterogeneity in Serverless Applications

Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling

CODE: Code once, deploy everywhere serverless functions in federated FaaS

BaaSLess: Backend-as-a-Service (BaaS)-Enabled Workflows in Federated Serverless Infrastructures

Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture

Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum

FaaScinating Resilience for Serverless Function Choreographies in Federated Clouds

Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications

DAF: Dependency-Aware FaaSifier for Node.js Monolithic Applications

Collaborators (6)

Sebastian Hegenbart

Romina Eramo

Dragi Kimovski

Peter Kepplinger

Philipp Gritsch

Thomas Fahringer

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