Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Eduardo Huedo"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-22 (2023)
Abstract The serverless computing model, implemented by Function as a Service (FaaS) platforms, can offer several advantages for the deployment of data analytics solutions in IoT environments, such as agile and on-demand resource provisioning, automa
Externí odkaz:
https://doaj.org/article/e6ce6158ac684fe7807e1e4493745c5a
Publikováno v:
Future Internet, Vol 16, Iss 3, p 103 (2024)
The adoption of edge infrastructure in 5G environments stands out as a transformative technology aimed at meeting the increasing demands of latency-sensitive and data-intensive applications. This research paper presents a comprehensive study on the i
Externí odkaz:
https://doaj.org/article/a1690020537e4e619e58de5cfa7886d2
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-18 (2019)
Abstract Automated resource provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service demand. This is essential for reducing power consumption and guaranteeing QoS and SLA fulfillment, e
Externí odkaz:
https://doaj.org/article/6fb7daa77a604ee38bb878b4684d7974
Federated learning on the edge allows the use of more powerful servers and more complex training models. This paper presents the deployment of a real federated learning framework on top of a real geo-distributed edge computing infrastructure, based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a6254855fa867cb12722a53cc0141d0
https://doi.org/10.21203/rs.3.rs-2354570/v1
https://doi.org/10.21203/rs.3.rs-2354570/v1
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
Research Square
Journal of Cloud Computing (under review)
Universidad Europea (UEM)
Research Square
Journal of Cloud Computing (under review)
The serverless computing model, implemented by Function as a Service (FaaS) platforms, can offer several advantages for the deployment of data analytics solutions in IoT environments, such as agile and on-demand resource provisioning, automatic scali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e127e87ad79e2287af9e4cd493cafb3
https://eprints.ucm.es/id/eprint/72266/1/preprint-version.pdf
https://eprints.ucm.es/id/eprint/72266/1/preprint-version.pdf
Autor:
Eduardo Huedo, Ignacio M. Llorente, Rafael Moreno-Vozmediano, George Pallis, Rubén S. Montero
Publikováno v:
IEEE Internet Computing. 23:31-36
The use of a disaggregated cloud architecture would allow companies and institutions to deploy their own edge computing infrastructure and services by combining their on-premises cloud infrastructure with multiple highly dispersed edge nodes leased f
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-18 (2019)
Automated resource provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service demand. This is essential for reducing power consumption and guaranteeing QoS and SLA fulfillment, especially
Autor:
Rafael Moreno-Vozmediano, Vlastimil Holer, Eduardo Huedo, Rubén S. Montero, Constantino Vázquez, Ignacio M. Llorente
Publikováno v:
Journal of Grid Computing
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
E-Prints Complutense. Archivo Institucional de la UCM
Universidad Europea (UEM)
The growing number of latency-critical applications are posing novel challenges for network operators, cloud/hosting companies, and application providers. Edge Computing is the strongest candidate for providing low-latency responses, but it is not ye
Publikováno v:
Journal of Grid Computing. 16:39-53
Cloud computing has become one of the most used platforms to deploy High Availability (HA) solutions for its flexibility, on-demand provisioning, and elasticity. However, although many providers offer specific tools for HA support, like floating IPs
Publikováno v:
Astronomy and Computing. 19:1-15
Recent advances in large scale computing architectures enable new opportunities to extract value out of the vast amounts of data being currently generated. However, their successful adoption is not straightforward in areas like science, as there are