Odej Kao

Odej Kao

Technische Universität Berlin

H-index: 33

Europe-Germany

About Odej Kao

Odej Kao, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at Technische Universität Berlin, specializes in the field of AIOps, AI for IT operations, Log analysis, Cloud Computing, Distributed Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures

On Software Ageing Indicators in OpenStack

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum

Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization

Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems

Fedzero: Leveraging renewable excess energy in federated learning

Carbon-awareness in ci/cd

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?

Odej Kao Information

University

Position

Professor of Computer Science

Citations(all)

6121

Citations(since 2020)

2369

Cited By

4459

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

116

i10Index(since 2020)

61

Email

University Profile Page

Technische Universität Berlin

Google Scholar

View Google Scholar Profile

Odej Kao Skills & Research Interests

AIOps

AI for IT operations

Log analysis

Cloud Computing

Distributed Systems

Top articles of Odej Kao

Title

Journal

Author(s)

Publication Date

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures

Future Generation Computer Systems

Jonathan Bader

Fabian Lehmann

Lauritz Thamsen

Ulf Leser

Odej Kao

2024/1/1

On Software Ageing Indicators in OpenStack

arXiv preprint arXiv:2404.16446

Yevhen Yazvinskyi

Jasmin Bogatinovski

Jorge Cardoso

Odej Kao

2024/4/25

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum

Tamas Kiss

Amjad Ullah

Gabor Terstyanszky

Odej Kao

Soren Becker

...

2024/4/9

Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization

arXiv preprint arXiv:2403.02129

Morgan Geldenhuys

Dominik Scheinert

Odej Kao

Lauritz Thamsen

2024/3/4

Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems

arXiv preprint arXiv:2403.02093

Benjamin JJ Pfister

Dominik Scheinert

Morgan K Geldenhuys

Odej Kao

2024/3/4

Fedzero: Leveraging renewable excess energy in federated learning

arXiv preprint arXiv:2305.15092

Philipp Wiesner

Ramin Khalili

Dennis Grinwald

Pratik Agrawal

Lauritz Thamsen

...

2023/5/24

Carbon-awareness in ci/cd

Henrik Claßen

Jonas Thierfeldt

Julian Tochman-Szewc

Philipp Wiesner

Odej Kao

2023/11/28

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?

Jonathan Will

Lauritz Thamsen

Dominik Scheinert

Odej Kao

2023/7/10

Auto-Logging: AI-centred Logging Instrumentation

Jasmin Bogatinovski

Odej Kao

2023/5/14

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks

Jonathan Bader

Nils Diedrich

Lauritz Thamsen

Odej Kao

2023/12/15

Towards a real-time IoT: Approaches for incoming packet processing in cyber–physical systems

Journal of Systems Architecture

Ilja Behnke

Christoph Blumschein

Robert Danicki

Philipp Wiesner

Lauritz Thamsen

...

2023/7/1

Karasu: A collaborative approach to efficient cluster configuration for big data analytics

Dominik Scheinert

Philipp Wiesner

Thorsten Wittkopp

Lauritz Thamsen

Jonathan Will

...

2023/11/17

Improving Platform Magnetometer Measurements Using Physics-informed Neural Networks

EGU General Assembly Conference Abstracts

Kevin Styp-Rekowski

Ingo Michaelis

Monika Korte

Claudia Stolle

Odej Kao

2023/5

Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties

Ilja Behnke

Philipp Wiesner

Paul Voelker

Odej Kao

2023/12/11

Himfp: Hierarchical intelligent memory failure prediction for cloud service reliability

Qiao Yu

Wengui Zhang

Paolo Notaro

Soroush Haeri

Jorge Cardoso

...

2023/6/27

Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study

Qiao Yu

Wengui Zhang

Jorge Cardoso

Odej Kao

2023/10/28

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis

Thorsten Wittkopp

Alexander Acker

Odej Kao

2023/12/4

Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems

Dominik Scheinert

Fabian Casares

Morgan K Geldenhuys

Kevin Styp-Rekowski

Odej Kao

2023/9/25

Research Data Management Plan

Jonathan Bader

Svetlana Kulagina

Associated Henning Meyerhenke

Odej Kao

2023/6/21

PULL: reactive log anomaly detection based on iterative PU learning

arXiv preprint arXiv:2301.10681

Thorsten Wittkopp

Dominik Scheinert

Philipp Wiesner

Alexander Acker

Odej Kao

2023/1/25

See List of Professors in Odej Kao University(Technische Universität Berlin)

Co-Authors

H-index: 57
Volker Markl

Volker Markl

Technische Universität Berlin

H-index: 55
Ulf Leser

Ulf Leser

Humboldt-Universität zu Berlin

H-index: 51
Jorge Cardoso

Jorge Cardoso

Universidade de Coimbra

H-index: 15
Lauritz Thamsen

Lauritz Thamsen

Technische Universität Berlin

H-index: 15
Alexander Alexandrov

Alexander Alexandrov

Technische Universität Berlin

H-index: 14
Thomas Renner

Thomas Renner

Technische Universität Berlin

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