Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Peini Liu"'
Autor:
Peini Liu, Jordi Guitart
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Containerization technology offers an appealing alternative for encapsulating and operating applications (and all their dependencies) without being constrained by the performance penalties of using Virtual Machines and, as a result, has got the inter
Autor:
Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Machine Learning (ML) is more than just training models, the whole workflow must be considered. Once deployed, a ML model needs to be watched and constantly supervised and debugged to guarantee its validity and robustness in unexpected situations. De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d653114c07c77c6c54c89dbb72e4f1
Publikováno v:
Frontiers of Computer Science. 13:976-995
In diverse and self-governed multiple clouds context, the service management and discovery are greatly challenged by the dynamic and evolving features of services. How to manage the features of cloud services and support accurate and efficient servic
Autor:
Peini Liu, Jordi Guitart
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
The high-performance computing (HPC) community has recently started to use containerization to obtain fast, customized, portable, flexible, and reproducible deployments of their workloads. Previous work showed that deploying an HPC workload into a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db41d4a94d35dd8bb324363160b7bd44
https://hdl.handle.net/2117/334383
https://hdl.handle.net/2117/334383
Publikováno v:
2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
Microservice technology that emphasizes self-management and lightweight of software systems has received great interests in both academic and industry fields of software engineering. The highly self-contained components and the dynamic running instan
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030360269
GECON
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
GECON
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Energy consumption is a critical operational cost for Cloud providers. However, as commercial providers typically use fixed pricing schemes that are oblivious about the energy costs of running virtual machines, clients are not charged according to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0bb271463134c95da92c6a27677eef
https://doi.org/10.1007/978-3-030-36027-6_7
https://doi.org/10.1007/978-3-030-36027-6_7
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
With the development of cloud computing, heterogeneous service providers can publish services in the cloud market under the multi-cloud environment. As the cloud market expands, the relationship between service providers and users is changing. Users
Publikováno v:
SEKE
Publikováno v:
SEKE
Autor:
Jingmin Xu, Xiaodi Li, Xiaoxi Liu, Yue Zhang, Daniel J. Dean, Ming Huang, Yaoping Ruan, Dingcheng Li, Hui Lei, Peini Liu, Yu Gu
Publikováno v:
BIBM
Data mapping among different data standards in health institutes is often a necessity when data exchanges occur among different institutes. However, no matter rule-based approaches or traditional machine learning methods, none of these methods have a