E-LIB Suche - Ergebnisse für: Spataru, Adrian

1

Intent-Based AI-Enhanced Service Orchestration for Applicat..:

, In: Service-Oriented and Cloud Computing; Lecture Notes in Computer Science,

Chondrogiannis, Efthymios ; Karanastasis, Efstathios ; Andronikou, Vassiliki... - p. 251-262 , 2023

Link: https://doi.org/10.1007/..

2

Cloud Service Failure Prediction on Google's Borg Cluster T..:

, In: 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC),

Tuns, Adrian-Ioan ; Spataru, Adrian - p. 162-169 , 2023

Link: https://doi.org/10.1109/..

3

A Solar Radiation Forecast Platform Spanning over the Edge-..:

Frincu, Marc ; Penteliuc, Marius ; Spataru, Adrian
Electronics. 11 (2022) 17 - p. 2756 , 2022

Link: https://doi.org/10.3390/..

4

TUFA: A TOSCA extension for the specification of accelerato..:

, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),

Spataru, Adrian ; Iuhasz, Gabriel ; Panica, Silviu - p. 1178-1183 , 2022

Link: https://doi.org/10.1109/..

5

Parallel Cloud Movement Forecasting based on a Modified Boi..:

, In: 2021 20th International Symposium on Parallel and Distributed Computing (ISPDC),

Spataru, Adrian ; Tranca, Larisa Cristina ; Penteliuc, Marius E.. - p. 89-96 , 2021

Link: https://doi.org/10.1109/..

6

Machine learning in prediction of intrinsic aqueous solubil..:

Lovrić, Mario ; Pavlović, Kristina ; Žuvela, Petar...
Journal of Chemometrics. 35 (2021) 7-8 - p. , 2021

Link: https://doi.org/10.1002/..

7

A Novel Data-Centric Programming Model for Large-Scale Para..:

, In: Euro-Par 2019: Parallel Processing Workshops; Lecture Notes in Computer Science,

Talia, Domenico ; Trunfio, Paolo ; Marozzo, Fabrizio... - p. 452-463 , 2020

Link: https://doi.org/10.1007/..

8

Integrating catchment land cover data to remotely assess fr..:

Şandric, Ionuţ ; Satmari, Alina ; Zaharia, Claudia...
Aquatic Sciences. 81 (2019) 2 - p. , 2019

Link: https://doi.org/10.1007/..

9

Decentralized Cloud Scheduling via Smart Contracts. Operati..:

, In: 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS),

Spataru, Adrian ; Ricci, Laura ; Petcu, Dana. - p. 482-489 , 2019

Link: https://doi.org/10.1109/..

10

Application Blueprints and Service Description:

, In: Palgrave Studies in Digital Business & Enabling Technologies; Heterogeneity, High Performance Computing, Self-Organization and the Cloud,

Dragan, Ioan ; Fortiș, Teodor-Florin ; Neagul, Marian... - p. 89-117 , 2018

Link: https://doi.org/10.1007/..

11

Reusing resource coalitions for efficient scheduling on the..:

, In: Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing,

Selea, Teodora ; Spataru, Adrian ; Frincu, Marc - p. 621-526 , 2016

Link: https://dl.acm.org/doi/1..

12

Machine learning in prediction of intrinsic aqueous solubil..:

Lovrić, Mario ; Pavlović, Kristina ; Žuvela, Petar...
http://fulir.irb.hr/6872/. , 2021

Link: http://fulir.irb.hr/6872

13

Machine learning in prediction of intrinsic aqueous solubil..:

Lovri?, M ; Pavlovi?, K ; Žuvela, P...
Lovri?, M., Pavlovi?, K., Žuvela, P., Spataru, Adrian, Lu?i?, B., Kern, Roman, Wong, Ming Wah (2021-05-07). Machine learning in prediction of intrinsic aqueous solubility of drug-like compounds: Generalization, complexity, or predictive ability?. Journal of Chemometrics 35 (7-Aug) : e3349. ScholarBank@NUS Repository. https://doi.org/10.1002/cem.3349. , 2021

Link: https://scholarbank.nus...

14

Heterogeneity, high performance computing, self-organizatio..:

Lynn, Theo ; Dong, Dapeng ; Xiong, Huanhuan...
http://doras.dcu.ie/25173/1/2018_Book_HeterogeneityHighPerformanceCo.pdf. , 2018

Link: http://doras.dcu.ie/2517..

15

Evaluation methods for comparing energy savings due to vari..:

Spataru, Adrian
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-104930. , 2014

Link: http://urn.kb.se/resolve..