Pregled bibliografske jedinice broj: 1041617
Methodology for trade-off analysis when moving scientific applications to cloud
Methodology for trade-off analysis when moving scientific applications to cloud // CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science
Taipei: IEEE Computer, 2012. str. 281-286 doi:10.1109/CloudCom.2012.6427575 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1041617 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Methodology for trade-off analysis when moving scientific applications to cloud
Autori
Toni Mastelić ; Dražen Lučanin ; Andreas Ipp ; Ivona Brandić
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science
/ - Taipei : IEEE Computer, 2012, 281-286
ISBN
978-1-4673-4510-1
Skup
4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2012)
Mjesto i datum
Taipei, Tajvan, 03.12.2012. - 06.12.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cloud ; scientific applications ; trade-off analysis ; migration
Sažetak
Scientific applications have always been one of the major driving forces for the development and efficient utilization of large scale distributed systems - computational Grids represent one of the prominent examples. While these infrastructures, such as Grids or Clusters, are widely used for running most of the scientific applications, they still use bare physical machines with fixed configurations and very little customizability. Today, Clouds represent another step forward in advanced utilization of distributed computing. They provide a fully customizable and self-managing infrastructure with scalable on-demand resources. However, true benefits and trade-offs of running scientific applications on a cloud infrastructure are still obscure, due to the lack of decision making support, which would provide a systematic approach for comparing these infrastructures. In this paper we introduce a comprehensive methodology for comparing the costs of using both infrastructures based on resource and energy usage, as well as their performance. We also introduce a novel approach for comparing the complexity of setting up and administrating such an infrastructure.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo