Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jordi Arjona Aroca"'
Autor:
Jordi Arjona Aroca, José Andrés Giménez Maldonado, Gabriel Ferrús Clari, Nuria Alonso i García, Lucía Calabria, Jorge Lara
Publikováno v:
European Transport Research Review, Vol 12, Iss 1, Pp 1-11 (2020)
Abstract Background The shipping industry has grown spectacularly during the last 50 years transporting nowadays, approximately, the 80–90% of goods worldwide. However, maritime transport remains a highly inefficient industry. Only in the last 10
Externí odkaz:
https://doaj.org/article/20af0a476ff14f1990b73235e117c770
Autor:
Xiaoming Fu, Volker Hilt, Abhinandan S. Prasad, Jesus Omana Iglesias, Jordi Arjona Aroca, David Koll
Publikováno v:
Future Generation Computer Systems. 87:639-650
Optimal deployment of complex services in a virtualized environment is still an open problem. These services typically consist of a set of connected components, and each component may consist of multiple instances. Each instance can in turn be run in
Publikováno v:
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference.
Onboarding network functions onto current clouds requires labor-intensive configuration of the virtual environment. Developers need to dimension the resources available to each virtual machine such as CPU and memory, define thresholds for scaling dyn
Publikováno v:
SoCC
The virtualization of services with high-availability requirements calls to revisit traditional operation and provisioning processes. Providers are realizing services in software on virtual machines instead of using dedicated appliances to dynamicall
Autor:
Abhinandan S. Prasad, Jordi Arjona Aroca, Volker Hilt, Jesus Omana Iglesias, David Koll, Xiaoming Fu
Publikováno v:
CCGrid
Virtualization helps to deploy the functionality of expensive and rigid hardware appliances on scalable virtual resources running on commodity servers. However, optimal resource provisioning for non-trivial services is still an open problem. While th
Publikováno v:
Service-Oriented Computing ISBN: 9783319690346
ICSOC
ICSOC
Online resource provisioning of applications in cloud is challenging due to the variable nature of workloads and the interference caused by sharing resources. Current on-demand scaling is based on manually configured thresholds that cannot capture th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b7a1b591516a67c6da812bb5e01b96
https://doi.org/10.1007/978-3-319-69035-3_50
https://doi.org/10.1007/978-3-319-69035-3_50
Autor:
Athanasios V. Vasilakos, Kai Zheng, Chenying Hou, Lin Wang, Fa Zhang, Jordi Arjona Aroca, Zhiyong Liu, Dan Li
Publikováno v:
University of Technology Sydney
The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers. In addition to the energy consumed by servers, the energy consumed by large numbers of network devices emerges as a significant pr
Publikováno v:
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
SustainIT
IMDEA Networks Institute
instname
SustainIT
The advent of cloud computing has changed the way many companies do computation, allowing them to outsource it to the cloud. This has given origin to a new kind of business, the cloud providers, which run large datacenters. In order to be competitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3351dbfc2d4fcc1b6c734bf66a0bc1eb
https://hdl.handle.net/20.500.12761/268
https://hdl.handle.net/20.500.12761/268
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
instname
IMDEA Networks Institute
In this work we present an exhaustive empirical characterization of the power requirements of multiple components of data center servers. To do so, we devise different experiments to stress these components, taking into account the multiple available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aafb7d9e860b1c0f76a54dc67bc3e018
http://hdl.handle.net/20.500.12761/107
http://hdl.handle.net/20.500.12761/107
Autor:
Lin Wang, Antonio Fernández Anta, Jordi Arjona Aroca, Christopher Thraves, Miguel A. Mosteiro
Publikováno v:
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
Adaptive Resource Management and Scheduling for Cloud Computing ISBN: 9783319134635
ARMS-CC@PODC
IMDEA Networks Institute
instname
Adaptive Resource Management and Scheduling for Cloud Computing ISBN: 9783319134635
ARMS-CC@PODC
Motivated by current trends in cloud computing, we study a version of the generalized assignment problem where a set of virtual processors has to be implemented by a set of identical processors. For literature consistency, we say that a set of virtua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448085d5af47a56b6f0072d3a5e49802
https://hdl.handle.net/20.500.12761/1377
https://hdl.handle.net/20.500.12761/1377