Các bài viết có thể truy cập công khai - Odej KaoTìm hiểu thêm
Bài viết đã ngừng công khai: 1
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process
H Zhu, H Ebel, D Scheinert, F Schmidt, J Altenkirch, O Kao
2022 IEEE International Conference on Industrial Engineering and Engineering …, 2022
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Tác giả chịu trách nhiệm: D Scheinert
Có tại một số nơi: 56
The stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal 23, 939-964, 2014
Các cơ quan ủy nhiệm: German Research Foundation
Microrca: Root cause localization of performance issues in microservices
L Wu, J Tordsson, E Elmroth, O Kao
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2020
Các cơ quan ủy nhiệm: European Commission
Implicit parallelism through deep language embedding
A Alexandrov, A Kunft, A Katsifodimos, F Schüler, L Thamsen, O Kao, ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
Các cơ quan ủy nhiệm: German Research Foundation, European Commission
Microdiag: Fine-grained performance diagnosis for microservice systems
L Wu, J Tordsson, J Bogatinovski, E Elmroth, O Kao
2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021
Các cơ quan ủy nhiệm: European Commission
Performance diagnosis in cloud microservices using deep learning
L Wu, J Bogatinovski, S Nedelkoski, J Tordsson, O Kao
International Conference on Service-Oriented Computing, 85-96, 2020
Các cơ quan ủy nhiệm: European Commission
Selecting resources for distributed dataflow systems according to runtime targets
L Thamsen, I Verbitskiy, F Schmidt, T Renner, O Kao
2016 IEEE 35th International Performance Computing and Communications …, 2016
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Causal inference techniques for microservice performance diagnosis: Evaluation and guiding recommendations
L Wu, J Tordsson, E Elmroth, O Kao
2021 IEEE International Conference on Autonomic Computing and Self …, 2021
Các cơ quan ủy nhiệm: European Commission
Héctor: A framework for testing iot applications across heterogeneous edge and cloud testbeds
I Behnke, L Thamsen, O Kao
Proceedings of the 12th IEEE/ACM international conference on utility and …, 2019
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Tarema: Adaptive resource allocation for scalable scientific workflows in heterogeneous clusters
J Bader, L Thamsen, S Kulagina, J Will, H Meyerhenke, O Kao
2021 IEEE International Conference on Big Data (Big Data), 65-75, 2021
Các cơ quan ủy nhiệm: German Research Foundation
Learning dependencies in distributed cloud applications to identify and localize anomalies
D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao
2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
The collaborative research center fonda
U Leser, M Hilbrich, C Draxl, P Eisert, L Grunske, P Hostert, D Kainmüller, ...
Datenbank-Spektrum 21, 255-260, 2021
Các cơ quan ủy nhiệm: German Research Foundation, Helmholtz Association, Federal Ministry of …
C3O: collaborative cluster configuration optimization for distributed data processing in public clouds
J Will, L Thamsen, D Scheinert, J Bader, O Kao
2021 IEEE International Conference on Cloud Engineering (IC2E), 43-52, 2021
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
CoLoc: Distributed data and container colocation for data-intensive applications
T Renner, L Thamsen, O Kao
2016 IEEE International Conference on Big Data (Big Data), 3008-3015, 2016
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Bellamy: Reusing performance models for distributed dataflow jobs across contexts
D Scheinert, L Thamsen, H Zhu, J Will, A Acker, T Wittkopp, O Kao
2021 IEEE International Conference on Cluster Computing (CLUSTER), 261-270, 2021
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Ellis: Dynamically scaling distributed dataflows to meet runtime targets
L Thamsen, I Verbitskiy, J Beilharz, T Renner, A Polze, O Kao
2017 IEEE International Conference on Cloud Computing Technology and Science …, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Scheduling recurring distributed dataflow jobs based on resource utilization and interference
L Thamsen, B Rabier, F Schmidt, T Renner, O Kao
2017 IEEE International Congress on Big Data (BigData Congress), 145-152, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Microras: Automatic recovery in the absence of historical failure data for microservice systems
L Wu, J Tordsson, A Acker, O Kao
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020
Các cơ quan ủy nhiệm: European Commission
Machine learning-based calibration of the GOCE satellite platform magnetometers
K Styp-Rekowski, I Michaelis, C Stolle, J Baerenzung, M Korte, O Kao
Earth, Planets and Space 74 (1), 138, 2022
Các cơ quan ủy nhiệm: Helmholtz Association
Continuously improving the resource utilization of iterative parallel dataflows
L Thamsen, T Renner, O Kao
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
Các cơ quan ủy nhiệm: German Research Foundation
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ