Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tiago Pais Pitta de Lacerda Ruivo"'
Autor:
Yong Zhao, Ioan Raicu, Steven Timm, Tiago Pais Pitta de Lacerda Ruivo, Ketan Maheshwari, Jesus Hernandez Martin, Gabriele Garzoglio, Tonglin Li, Kevin Brandstatter, Iman Sadooghi
Publikováno v:
IEEE Transactions on Cloud Computing. 5:358-371
Commercial clouds bring a great opportunity to the scientific computing area. Scientific applications usually require significant resources, however not all scientists have access to sufficient high-end computing systems. Cloud computing has gained t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44c9ca20437414829330d11c5ca8794
https://doi.org/10.1109/tcc.2015.2404821
https://doi.org/10.1109/tcc.2015.2404821
Autor:
NETTO, MARCO A. S.1 mstelmar@br.ibm.com, CALHEIROS, RODRIGO N.2 R.Calheiros@westernsydney.edu.au, RODRIGUES, EDUARDO R.1 edrodri@br.ibm.com, CUNHA, RENATO L. F.1 renatoc@br.ibm.com, BUYYA, RAJKUMAR3 rbuyya@unimelb.edu.au
Publikováno v:
ACM Computing Surveys. Jan2019, Vol. 51 Issue 1, p1-29. 29p.
Autor:
LEITNER, PHILIPP, CITO, JÜRGEN
Publikováno v:
ACM Transactions on Internet Technology; Apr2016, Vol. 16 Issue 3, p1-23, 23p
Autor:
Ruivo, Tiago Pais Pitta De Lacerda, Altayo, Gerard Bernabeu, Garzoglio, Gabriele, Timm, Steven, Kim, Hyun Woo, Noh, Seo-Young, Raicu, Ioan
Publikováno v:
2014 14th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing; 2014, p943-948, 6p
Publikováno v:
2014 14th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing; 2014, pv-xiv, 10p
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflo
Autor:
Sanjay Kumar
Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The most common technologies include classification and clustering which are very mu