Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Michal Orzechowski"'
Autor:
Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero, George A. Papadopoulos
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-25 (2019)
Abstract Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor lock-in effect, mi
Externí odkaz:
https://doaj.org/article/6e58d73f74794a77b182a725cf186365
Autor:
Renata Słota, Dariusz Krol, Kornel Skałkowski, Michal Orzechowski, Darin Nikolow, Bartosz Kryza, Michal Wrzeszcz, Jacek Kitowski
Publikováno v:
Computer Science, Vol 13, Iss 1, p 63 (2012)
This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which supports storage QoS provisioning for data-intensive applications in distributed environments. QStorMan exploits knowledge-oriented methods for matchin
Externí odkaz:
https://doaj.org/article/5213710f9d98443e8e2ed5ad438ea2c5
Autor:
Michal Orzechowski, Georgia M. Kapitsaki, Daniel Romero, Kyriakos Kritikos, Daniel Seybold, Frank Griesinger, George A. Papadopoulos, Alessandro Rossini, Nikolay Nikolov, Jörg Domaschka, Achilleas Achilleos
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-25 (2019)
Journal of Cloud Computing-Advances, Systems and Applications
Journal of Cloud Computing-Advances, Systems and Applications
Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor lock-in effect, missing opp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f12863403e9d63f63c1e67b0481b25
https://doaj.org/article/6e58d73f74794a77b182a725cf186365
https://doaj.org/article/6e58d73f74794a77b182a725cf186365
In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run. We describe the course, how we adapted it over the two pilot r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a096ef2ba4e1fb799d0da98df197beb
http://arxiv.org/abs/2105.07847
http://arxiv.org/abs/2105.07847
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
Cloud bursting is an application deployment model wherein additional computing resources are provisioned from public clouds in cases where local resources are not sufficient, e.g. during peak demand periods. We propose and experimentally evaluate a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb654291352873b334e32475c1e64a2
https://doi.org/10.1007/978-3-030-77961-0_21
https://doi.org/10.1007/978-3-030-77961-0_21
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432287
PPAM (1)
PPAM (1)
We present a solution for cloud infrastructure automation for scientific workflows. Unlike existing approaches, our solution is based on widely adopted tools, such as Terraform, and achieves a strict separation of two concerns: infrastructure descrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa24a86db3f0bc243cf1184898080bf7
https://doi.org/10.1007/978-3-030-43229-4_25
https://doi.org/10.1007/978-3-030-43229-4_25
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030503703
ICCS (1)
ICCS (1)
We propose a comprehensive solution for reproducibility of scientific workflows. We focus particularly on Kubernetes-managed container clouds, increasingly important in scientific computing. Our solution addresses conservation of the scientific proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0bbe6cba81147cc03ffc689d8504248
https://doi.org/10.1007/978-3-030-50371-0_16
https://doi.org/10.1007/978-3-030-50371-0_16
Publikováno v:
Euro-Par 2019: Parallel Processing Workshops ISBN: 9783030483395
Euro-Par Workshops
Euro-Par Workshops
We present a scientific workflow data management solution that combines global data access with a block-level optimization of data transfer, wherein only the data blocks that are used by a remote job are transferred over the network, significantly re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d738f65cce99c9b32214420a8390255
https://doi.org/10.1007/978-3-030-48340-1_62
https://doi.org/10.1007/978-3-030-48340-1_62
Publikováno v:
UCC Companion
We present an end-to-end solution for automation of scientific workflow deployment and execution on distributed computing infrastructures. The solution integrates de-facto standard and widely adopted tools, including Terraform and Kubernetes, with ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37c300352c375bfd9d33b6ed4fc89538
https://doi.org/10.1109/ucc-companion.2018.00020
https://doi.org/10.1109/ucc-companion.2018.00020
Autor:
Jacek Kitowski, Michal Orzechowski, Anthony Sulistio, Kamil Figiela, Maciej Malawski, Dennis Hoppe, Yosandra Sandoval, Dariusz Król, Maciej Pawlik, Marian Bubak, Bartosz Balis
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319780238
PPAM (1)
PPAM (1)
A hybrid HPC/Cloud architecture is a potential solution to the ever-increasing demand for high-availability on-demand resources for eScience applications. eScience applications are primarily compute-intensive, and thus require HPC resources. They usu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b0a884e8c3b2cb40abdd528c4c41f31
https://doi.org/10.1007/978-3-319-78024-5_38
https://doi.org/10.1007/978-3-319-78024-5_38