Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nathanaël Cheriere"'
Autor:
Jiaqi Chu, Nathanaël Cheriere, Grace Brennan, Mengyang Yang, Greg O’Shea, Jannes Gladrow, Douglas J. Kelly, Giorgio Maltese, Alan Sanders, Dushyanth Narayanan, Benn Thomsen, Antony Rowstron
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract Cloud data workloads require both high capacity at low cost and high access rates. Hard Disk Drives are the dominant media in this application as they are low cost, however, Hard Disk Drive technology is seeing declining access rates and a s
Externí odkaz:
https://doaj.org/article/d3e0c0c39a8a4524969f65ebd601a69a
Publikováno v:
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing, Elsevier, 2020, 140, pp.80-98. ⟨10.1016/j.jpdc.2020.02.001⟩
Journal of Parallel and Distributed Computing, 2020, 140, pp.80-98. ⟨10.1016/j.jpdc.2020.02.001⟩
Journal of Parallel and Distributed Computing, Elsevier, 2020, 140, pp.80-98. ⟨10.1016/j.jpdc.2020.02.001⟩
Journal of Parallel and Distributed Computing, 2020, 140, pp.80-98. ⟨10.1016/j.jpdc.2020.02.001⟩
International audience; Efficient resource utilization becomes a major concern as large-scale distributed computing infrastructures keep growing in size. Malleability, the possibility for resource managers to dynamically increase or decrease the amou
Autor:
Matthieu Dorier, Gabriel Antoniu, Stefan M. Wild, Sven Leyffer, Nathanaël Cheriere, Robert Ross
Publikováno v:
CCGRID-2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
CCGRID-2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. pp.182-191, ⟨10.1109/CCGrid49817.2020.00-75⟩
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. pp.182-191, ⟨10.1109/CCGrid49817.2020.00-75⟩
CCGRID
CCGRID-2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. pp.182-191, ⟨10.1109/CCGrid49817.2020.00-75⟩
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. pp.182-191, ⟨10.1109/CCGrid49817.2020.00-75⟩
CCGRID
International audience; User-space HPC data services are emerging as an appealing alternative to traditional parallel file systems, because of their ability to be tailored to application needs while eliminating unnecessary overheads incurred by POSIX
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1058ad9fcf456ec7c202d92631d28cc9
https://hal.archives-ouvertes.fr/hal-02961907/document
https://hal.archives-ouvertes.fr/hal-02961907/document
Publikováno v:
CCGrid 2019-IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing
CCGrid 2019-IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, May 2019, Larnaca, Cyprus. pp.1-10, ⟨10.1109/CCGRID.2019.00024⟩
CCGRID
CCGrid 2019-IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, May 2019, Larnaca, Cyprus. pp.1-10, ⟨10.1109/CCGRID.2019.00024⟩
CCGRID
International audience; Efficient resource utilization is a major concern for large-scale computer platforms. One method used to lower energy consumption and operational cost is to reduce the amount of idle resources. This can be achieved by using ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c455409f7fb8c0a2adec4426c8d53e0f
https://hal.archives-ouvertes.fr/hal-02116727/file/Paper.pdf
https://hal.archives-ouvertes.fr/hal-02116727/file/Paper.pdf
Publikováno v:
PDSW-DISCS 2018: 3rd Joint International workshop on Parallel Data Storage and Data Intensive Scalable computing Systems
PDSW-DISCS 2018: 3rd Joint International workshop on Parallel Data Storage and Data Intensive Scalable computing Systems, Nov 2018, Dallas, United States. pp.1-10, ⟨10.1109/PDSW-DISCS.2018.00006⟩
PDSW-DISCS@SC
PDSW-DISCS 2018: 3rd Joint International workshop on Parallel Data Storage and Data Intensive Scalable computing Systems, Nov 2018, Dallas, United States. pp.1-10, ⟨10.1109/PDSW-DISCS.2018.00006⟩
PDSW-DISCS@SC
International audience; Malleability is the property of an application to be dynamically rescaled at run time. It requires the possibility to dynamically add or remove resources to the infrastructure without interruption. Yet, many Big Data applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a04bddf9fa67fe7708530e74109312f
https://hal.archives-ouvertes.fr/hal-01892713
https://hal.archives-ouvertes.fr/hal-01892713
Autor:
Gabriel Antoniu, Nathanaël Cheriere
Publikováno v:
IEEE BigData
BigData
BigData, Dec 2017, Boston, United States. ⟨10.1109/BigData.2017.8257922⟩
BigData
BigData, Dec 2017, Boston, United States. ⟨10.1109/BigData.2017.8257922⟩
International audience; For efficient Big Data processing, efficient resource utilization becomes a major concern as large-scale computing infrastructures such as supercomputers or clouds keep growing in size. Naturally, energy and cost savings can b
Publikováno v:
Journal of Scheduling
Journal of Scheduling, Springer Verlag, 2014, 19 (3), pp.245-255. ⟨10.1007/s10951-014-0390-0⟩
Journal of Scheduling, 2014, 19 (3), pp.245-255. ⟨10.1007/s10951-014-0390-0⟩
Journal of Scheduling, Springer Verlag, 2014, 19 (3), pp.245-255. ⟨10.1007/s10951-014-0390-0⟩
Journal of Scheduling, 2014, 19 (3), pp.245-255. ⟨10.1007/s10951-014-0390-0⟩
International audience; One of the very important topics in discrete optimization, motivated by practical applications, is Internet shopping, which is becoming increasingly popular each year. More classical versions of the Internet shopping optimizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a5ec5cbb67e2372136eb6f623a39cd
https://hal.archives-ouvertes.fr/hal-01101708
https://hal.archives-ouvertes.fr/hal-01101708
Publikováno v:
HAL
SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing
SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing, Apr 2016, Pisa, Italy. ⟨10.1145/2851613.2851626⟩
SAC
SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing
SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing, Apr 2016, Pisa, Italy. ⟨10.1145/2851613.2851626⟩
SAC
International audience; Hadoop has been recently used to process a diverse variety of applications, sharing the same execution infrastructure. A practical problem facing the Hadoop community is how to reduce job makespans by reducing job waiting time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b328976d7af4f09a1e6ebbb4f4a59469
https://hal.inria.fr/hal-01239341
https://hal.inria.fr/hal-01239341