Articles avec mandats d'accès public - Ivona BrandicEn savoir plus
Non disponibles : 4
Sea-leap: Self-adaptive and locality-aware edge analytics placement
I Lujic, V De Maio, S Venugopal, I Brandic
IEEE Transactions on Services Computing 15 (2), 602-613, 2021
Exigences : Austrian Science Fund
Application-level monitoring and SLA violation detection for multi-tenant cloud services
VC Emeakaroha, MAS Netto, I Brandic, CAF De Rose
Emerging Research in Cloud Distributed Computing Systems, 157-186, 2015
Exigences : Vienna Science and Technology Fund, Austria
TAROT: spatio-temporal function placement for serverless smart city applications
V De Maio, D Bermbach, I Brandic
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing …, 2022
Exigences : Austrian Science Fund
Sustainable and trustworthy edge machine learning
I Brandic
IEEE Internet Computing 25 (5), 5-9, 2021
Exigences : Austrian Science Fund
Disponibles quelque part : 50
AI for next generation computing: Emerging trends and future directions
SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon, A Shaghaghi, M Golec, ...
Internet of Things 19, 100514, 2022
Exigences : National Natural Science Foundation of China
First hop mobile offloading of dag computations
V De Maio, I Brandic
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018
Exigences : Austrian Science Fund
Specification, planning, and execution of QoS‐aware Grid workflows within the Amadeus environment
I Brandic, S Pllana, S Benkner
Concurrency and Computation: Practice and Experience 20 (4), 331-345, 2008
Exigences : Austrian Science Fund
Scheduling latency-sensitive applications in edge computing
V Scoca, A Aral, I Brandic, R De Nicola, RB Uriarte
Exigences : Austrian Science Fund
Addressing application latency requirements through edge scheduling
A Aral, I Brandic, RB Uriarte, R De Nicola, V Scoca
Journal of Grid Computing 17 (4), 677-698, 2019
Exigences : Austrian Science Fund, European Commission
A hybrid cloud controller for vertical memory elasticity: A control-theoretic approach
S Farokhi, P Jamshidi, EB Lakew, I Brandic, E Elmroth
Future Generation Computer Systems 65, 57-72, 2016
Exigences : Swedish Research Council, Vienna Science and Technology Fund, Austria
Coordinating CPU and memory elasticity controllers to meet service response time constraints
S Farokhi, EB Lakew, C Klein, I Brandic, E Elmroth
2015 International Conference on Cloud and Autonomic Computing, 69-80, 2015
Exigences : Swedish Research Council, Vienna Science and Technology Fund, Austria
Self-adaptation challenges for cloud-based applications: A control theoretic perspective
S Farokhi, P Jamshidi, I Brandic, E Elmroth
10th international workshop on feedback computing 2015, 2015
Exigences : Vienna Science and Technology Fund, Austria
Learning spatiotemporal failure dependencies for resilient edge computing services
A Aral, I Brandić
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1578-1590, 2020
Exigences : Austrian Science Fund
Dependency Mining for Service Resilience at the Edge.
A Aral, I Brandic
The Third ACM/IEEE Symposium on Edge Computing, Bellevue, WA, October 25-27 …, 2018
Exigences : Austrian Science Fund
Multiagent Bayesian deep reinforcement learning for microgrid energy management under communication failures
H Zhou, A Aral, I Brandić, M Erol-Kantarci
IEEE Internet of Things Journal 9 (14), 11685-11698, 2021
Exigences : Austrian Science Fund, Conseil de recherches en sciences naturelles et en …
Efficient Edge Storage Management Based on Near Real-Time Forecasts
I Lujic, V De Maio, I Brandic
The 1st IEEE International Conference on Fog and Edge Computing, 2017
Exigences : Austrian Science Fund
Multi-objective mobile edge provisioning in small cell clouds
V De Maio, I Brandic
Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019
Exigences : Austrian Science Fund
Staleness control for edge data analytics
A Aral, M Erol-Kantarci, I Brandić
Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (2 …, 2020
Exigences : Austrian Science Fund
HS4MC-hierarchical sla-based service selection for multi-cloud environments
S Farokhi, F Jrad, I Brandic, A Streit
Special Session on Multi-Clouds 2, 722-734, 2014
Exigences : Austrian Science Fund
Predicting resource allocation and costs for business processes in the cloud
T Mastelic, W Fdhila, I Brandic, S Rinderle-Ma
2015 IEEE world congress on services, 47-54, 2015
Exigences : Austrian Science Fund
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