Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Eugen Feller"'
Publikováno v:
IEEE BigData
Recommender systems play a key role in personalizing service experiences by recommending relevant items to users. One popular technique for producing such personalization at scale is collaborative filtering via Matrix Factorization (MF). The essence
Autor:
Eugen Feller, Matthieu Simonin, Yvon Jégou, Anne-Cécile Orgerie, David Margery, Christine Morin
Publikováno v:
[Research Report] RR-8649, Inria Rennes; INRIA. 2014, pp.31
HAL
HAL
With the advent of cloud computing and the need to satisfy growing customers resource demands, cloud providers now operate increasing amounts of large data centers. In order to ease the creation of private clouds, several open source and commercial I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2d5632f8da963f02e519789e4b2ad49b
https://inria.hal.science/hal-01091755/document
https://inria.hal.science/hal-01091755/document
Autor:
Valerie Hendrix, Eugen Feller, Pradeep Kumar Mantha, Devarshi Ghoshal, Christine Morin, Lavanya Ramakrishnan
Publikováno v:
Cloud Computing for Data-Intensive Applications ISBN: 9781493919048
Cloud Computing for Data-Intensive Applications
Cloud Computing for Data-Intensive Applications
Infrastructure as a Service (IaaS) clouds provide a composable environment that is attractive for mid-range, high-throughput and data-intensive scientific workloads. However, the flexibility of IaaS clouds presents unique challenges for storage and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ef1b99332d70a18cb4c43ce5817bfa
https://doi.org/10.1007/978-1-4939-1905-5_15
https://doi.org/10.1007/978-1-4939-1905-5_15
Publikováno v:
The IEEE International Conference on Big Data 2013 (IEEE BigData 2013)
The IEEE International Conference on Big Data 2013 (IEEE BigData 2013), Oct 2013, Santa Clara, United States
BigData Conference
The IEEE International Conference on Big Data 2013 (IEEE BigData 2013), Oct 2013, Santa Clara, United States
BigData Conference
International audience; The exponential growth of scientific and business data has resulted in the evolution of the cloud computing and the MapReduce parallel programming model. Cloud computing emphasizes increased utilization and power savings throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31afc48a1187514fb68d3db980eecc7c
https://hal.inria.fr/hal-00856330
https://hal.inria.fr/hal-00856330
Publikováno v:
The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2013, Delft, Netherlands
CCGRID
HAL
The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2013, Delft, Netherlands
CCGRID
HAL
Poster; International audience; Snooze is an open-source scalable, autonomic, and energy-efficient virtual machine (VM) management framework for private clouds. It allows users to build compute infrastructures from virtualized resources. Particularly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08129aa0102d31fa6d7b8c51d12051cb
https://hal.inria.fr/hal-00925726
https://hal.inria.fr/hal-00925726
Publikováno v:
13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2013, Delft, Netherlands
CCGRID
13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2013, Delft, Netherlands
CCGRID
Best paper finalist; International audience; The MapReduce programming model offers a simple and efficient way of performing distributed computation over large data sets. To enable the usage of MapReduce in the cloud, Amazon Web Services offers Elast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff10af5254ef7872d582ac86f13c94ce
https://hal.inria.fr/hal-00790406
https://hal.inria.fr/hal-00790406
Publikováno v:
The 6th IEEE International Scalable Computing Challenge (SCALE 2013)
The 6th IEEE International Scalable Computing Challenge (SCALE 2013), May 2013, Delft, Netherlands
HAL
The 6th IEEE International Scalable Computing Challenge (SCALE 2013), May 2013, Delft, Netherlands
HAL
Short paper and demo - second prize winner; International audience; Large-scale data centers enabling today's cloud services are now hosting a tremendous amount of servers and virtual machines. To enable scalable and highly available management of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::382bc14d0fdbb59efdae7972abd11801
https://hal.inria.fr/hal-00925664
https://hal.inria.fr/hal-00925664
Publikováno v:
5th IEEE International Conference on Cloud Computing (CLOUD)
5th IEEE International Conference on Cloud Computing (CLOUD), Jun 2012, Honolulu, Hawaii, United States
[Research Report] RR-7946, INRIA. 2012
IEEE CLOUD
5th IEEE International Conference on Cloud Computing (CLOUD), Jun 2012, Honolulu, Hawaii, United States
[Research Report] RR-7946, INRIA. 2012
IEEE CLOUD
Energy efficiency has now become one of the major design constraints for current and future cloud data center operators. One way to conserve energy is to transition idle servers into a lower power-state (e.g. suspend). Therefore, virtual machine (VM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f831233253441cfbaaabb37a5673536e
https://hal.inria.fr/hal-00695038/file/efeller.pdf
https://hal.inria.fr/hal-00695038/file/efeller.pdf
Autor:
Eugen Feller, Christine Morin
Publikováno v:
IPDPS Workshops
PhD Forum of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS PhD Forum)
PhD Forum of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS PhD Forum), May 2012, Shanghai, China
PhD Forum of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS PhD Forum)
PhD Forum of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS PhD Forum), May 2012, Shanghai, China
International audience; With the advent of cloud computing and the need for increasing amount of computing power, cloud infrastructure providers are now facilitating the deployment of large-scale data centers. In order to efficiently manage such envi
Publikováno v:
Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice
Massimo Villari and Ivona Brandic and Francesco Tusa. Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice, IGI Global, 2012
Massimo Villari and Ivona Brandic and Francesco Tusa. Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice, IGI Global, 2012
to appear; International audience; With increasing numbers of energy hungry data centers, energy conservation has now become a major design constraint for current and future Infrastructure-as-a-Service (IaaS) cloud providers. In order to efficiently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e625b441c29f3014dd10fa05d34d62d8
https://hal.inria.fr/hal-00651740
https://hal.inria.fr/hal-00651740