Wykaz publikacji wybranego autora

Michał Orzechowski, mgr inż.

pracownik inżynieryjno-techniczny

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


Identyfikatory Autora

ORCID: brak

ResearcherID: brak

Scopus: 55054607600

PBN: 4010049





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


1
  • A cloud-based data farming platform for molecular dynamics simulations
2
  • A toolkit for storage QoS provisioning for data-intensive applications
3
  • A toolkit for storage QoS provisioning for data-intensive applications
4
  • Bridging the gap between HPC and Cloud using HyperFlow and PaaSage
5
  • Cloud infrastructure automation for scientific workflows
6
  • Container-based architecture for resilient and reproducible scientific workflows
7
  • Cost-based optimization of execution of data farming experiments in PaaSage
8
  • Evaluation of container composition tools for multi-container distributed systems
9
  • Execution of scientific workflows on hybrid infrastructure, a case study of AWS Elastic Container Service in combination with AWS Lambda
10
  • Manageability of deployment of multi-cloud scientific applications: data farming use-case
11
  • Model-based execution of scientific applications on cloud infrastructures: scalarm case study
12
  • Modeling of data farming application for multi-cloud execution
13
  • Molecular dynamics with HyperFlow and scalarm on the PaaSage platform
14
  • Onedata virtual filesystem for hybrid clouds
15
  • Parameter sweep and resources scaling automation in scalarm data farming platform
16
  • Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow
17
  • Scientific computing with application containers: onedata and hyperflow use cases
18
  • Storage systems control with decision trees for storage QoS provisioning
19
  • The cloud application modelling and execution language
20
  • Towards scalable, semantic-based virtualized storage resources provisioning
21
  • Transparent data access for scientific workflows across clouds
22
  • Transparent deployment of scientific workflows across clouds – Kubernetes approach