Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Josep L. Lérida"'
Publikováno v:
Future Generation Computer Systems. 145:321-336
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d354a6da551eb21495083a61a064596
https://doi.org/10.1016/j.future.2023.03.018
https://doi.org/10.1016/j.future.2023.03.018
Publikováno v:
The Journal of Supercomputing. 77:1879-1896
The rise of high-resolution and high-throughput sequencing technologies has driven the emergence of such new fields of application as precision medicine. However, this has also led to an increase in the storage and processing requirements for the bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e21c232f7c9e4ce0aa9085f213bf82
https://doi.org/10.1007/s11227-020-03338-3
https://doi.org/10.1007/s11227-020-03338-3
Publikováno v:
Repositorio Abierto de la UdL
Universitad de Lleida
Universitad de Lleida
Background and Objective: The emergence of Next-Generation sequencing has created a push for faster and more accurate multiple sequence alignment tools. The growing number of sequences and their longer sizes, which require the use of increased system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280f3af0040c5a74b099ad7d66330ed7
https://pubmed.ncbi.nlm.nih.gov/34198017
https://pubmed.ncbi.nlm.nih.gov/34198017
Publikováno v:
Euro-Par 2020: Parallel Processing ISBN: 9783030576745
Euro-Par
Euro-Par
Using virtualization, cloud environments satisfy dynamically the computational resource necessities of the user. The dynamic use of the resources determines the demand for working hosts. Through virtual machine (VM) migrations, datacenters perform lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01caa56a6300eb2e1780b27df27407d
https://doi.org/10.1007/978-3-030-57675-2_20
https://doi.org/10.1007/978-3-030-57675-2_20
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783030440404
AINA
AINA
Using virtualization, cloud environments satisfy dynamically the computational resource necessities of the user. The dynamic use of the resources determines the demand of working hosts. Through virtual machine (VM) migrations, datacenters perform loa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a741bc74b0508f976325123abd8c06e1
https://doi.org/10.1007/978-3-030-44041-1_95
https://doi.org/10.1007/978-3-030-44041-1_95
Energy-saving scheduling on IaaS HPC cloud environments based on a multi-objective genetic algorithm
Publikováno v:
The Journal of Supercomputing. 75:1483-1495
Nowadays, cloud computing is a growing scenario applied to many scientific and manufacturing areas due to its flexibility for adapting to highly demanding computing requirements. The advantages of pay-as-you-go model, elasticity, and the flexibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a09da5bd57879b82b0b05eec363d57
https://doi.org/10.1007/s11227-018-2668-z
https://doi.org/10.1007/s11227-018-2668-z
Publikováno v:
FIE
This Innovative Practice Category Work In Progress presents a singular experience of a cooperative education program in a Master Degree in Informatics Engineering in Spain, which is so far unique in the country at master level. This Master provides t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::203f68177de3c4a3d07ab6185c57b1c0
https://doi.org/10.1109/fie.2018.8658440
https://doi.org/10.1109/fie.2018.8658440
Publikováno v:
Repositorio Abierto de la UdL
Universitad de Lleida
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitad de Lleida
Recercat. Dipósit de la Recerca de Catalunya
instname
Scheduling and resource allocation to optimize performance criteria in multi-cluster heterogeneous environments is known as an NP-hard problem, not only for the resource heterogeneity, but also for the possibility of applying co-allocation to take ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b32bdf6feb62429f3ad8f1de90fe728
https://doi.org/10.1057/jos.2014.41
https://doi.org/10.1057/jos.2014.41
Publikováno v:
FUZZ-IEEE
Reducing energy consumption in large-scale computing facilities has become a major concern in recent years. The large number of computing nodes, resources heterogeneity and diversity of application requirements are factors that turn the scheduling in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef471bd2b3a925d1b3d24a2049618d25
https://doi.org/10.1109/fuzz-ieee.2017.8015589
https://doi.org/10.1109/fuzz-ieee.2017.8015589
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Repositorio Abierto de la UdL
Universitad de Lleida
instname
Repositorio Abierto de la UdL
Universitad de Lleida
Reducing energy consumption in large-scale computing facilities has become a major concern in recent years. Most of the techniques have focused on determining the computing requirements based on load predictions and thus turning unnecessary nodes on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88921dd5a5c205a31233b0b3171da47e
https://hdl.handle.net/10459.1/59327
https://hdl.handle.net/10459.1/59327