Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Unai Arronategui"'
Publikováno v:
IEEE Access, Vol 11, Pp 21387-21403 (2023)
Performance interference can occur when various services are executed over the same physical infrastructure in a cloud system. This can lead to performance degradation compared to the execution of services in isolation. This work proposes a Confirmat
Externí odkaz:
https://doaj.org/article/f8918e583eaa457a9682f415471724fb
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783031293146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a6d4038745a29345bd0c3ccea310d9
https://doi.org/10.1007/978-3-031-29315-3_16
https://doi.org/10.1007/978-3-031-29315-3_16
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783031293146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2effccf5917b4da9d63a7f00ebc5fb35
https://doi.org/10.1007/978-3-031-29315-3_14
https://doi.org/10.1007/978-3-031-29315-3_14
Autor:
Paul Hodgetts, Hayk Kocharyan, Fidel Reviriego, Álvaro Santamaría, Unai Arronategui, José Ángel Bañares, José Manuel Colom
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030929152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::420f4f067b9f71a7023bda901306fcbd
https://doi.org/10.1007/978-3-030-92916-9_1
https://doi.org/10.1007/978-3-030-92916-9_1
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030360269
GECON
GECON
The simulation of large and complex Discrete Event Systems (DESs) increasingly imposes more demanding and urgent requirements on two aspects accepted as critical: (1) Intensive use of models of the simulated system that can be exploited in all phases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cf4bc2e7ad6bd3a31761688607ceb0
https://doi.org/10.1007/978-3-030-36027-6_9
https://doi.org/10.1007/978-3-030-36027-6_9
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030360269
GECON
GECON
The simplification of resource management for container is one of the most important services of Kubernetes. However, the simplification of distributed provisioning and scheduling decisions can impact significantly in cost outcomes. From an economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb4f432100d59ae8fde9accdb46f521
https://doi.org/10.1007/978-3-030-36027-6_26
https://doi.org/10.1007/978-3-030-36027-6_26
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
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A key challenge for supporting elastic behaviour in cloud systems is to achieve a good performance in automated (de-)provisioning and scheduling of computing resources. One of the key aspects that can be significant is the overheads associated with d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5347b322911393ae5426217dcf18d8a
http://zaguan.unizar.es/record/78902
http://zaguan.unizar.es/record/78902
Autor:
Javier Celaya, Unai Arronategui
Publikováno v:
Future Generation Computer Systems. 49:28-44
Users of distributed computing platforms want to obtain a fair share of the resources they use. With respect to the amount of computation, the most suitable measure of fairness is the stretch. It describes the slowdown that the applications suffer fo
Autor:
Rafael Tolosana-Calasanz, José Ángel Bañares, Omer Rana, Unai Arronategui, Carlos Tolón, Víctor Medel
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783319680651
GECON
GECON
In container management systems, such as Kubernetes, the scheduler has to place containers in physical machines and it should be aware of the degradation in performance caused by placing together containers that are barely isolated. We propose that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c8d579654a84e41d21cced740d3c01
https://doi.org/10.1007/978-3-319-68066-8_13
https://doi.org/10.1007/978-3-319-68066-8_13
Publikováno v:
UCC
Containers are rapidly replacing Virtual Machines (VMs) as the compute instance of choice in cloud-based deployments. The significantly lower overhead of deploying containers (compared to VMs) has often been cited as one reason for this. We analyse p