Wykaz publikacji wybranego autora

Kamil Figiela, mgr inż.

pracownik inżynieryjno-techniczny

Wydział Informatyki, Elektroniki i Telekomunikacji
WIEiT-ki, Katedra Informatyki


Identyfikatory Autora

ORCID: 0000-0003-2539-1581

ResearcherID: D-8066-2015

Scopus: 55580872500

PBN:





Liczba pozycji spełniających powyższe kryteria selekcji: 22, z ogólnej liczby 22 publikacji Autora


1
  • A lightweight approach for deployment of scientific workflows in cloud infrastructures
2
  • A lightweight approach for deployment of scientific workflows in cloud infrastructures
3
  • Adaptive multi-level workflow scheduling with uncertain task estimates
4
  • Adaptive multi-level workflow scheduling with uncertain task estimates
5
  • Benchmarking heterogeneous cloud functions
6
  • Bridging the gap between HPC and Cloud using HyperFlow and PaaSage
7
  • Cost optimization of execution of multi-level deadline-constrained scientific workflows on clouds
8
  • Leveraging workflows and clouds for a multi-frontal solver for finite element meshes
9
  • Modeling, optimization and performance evaluation of scientific workflows in clouds
10
  • Molecular dynamics with HyperFlow and scalarm on the PaaSage platform
11
  • Performance considerations on execution of large scale workflow applications on cloud functions
12
  • Performance evaluation of heterogeneous cloud functions
13
  • Performance evaluation of parallel cloud functions
14
  • Porting HPC applications to the cloud: a multi-frontal solver case study
15
  • Rapid development and deployment of scientific workflows with HyperFlow
16
  • Scheduling multilevel deadline-constrained scientific workflows on clouds based on cost optimization
17
  • Scientific workflow support in the PL-Grid infrastructure with HyperFlow
18
  • Scientific workflow support in the PLGrid infrastructure with HyperFlow
19
20
  • Support for scientific workflows in a model-based cloud platform
21
  • Towards deployment and autoscaling of scientific workflows with HyperFlow and PaaSage
22
  • Towards efficient visual programming for science