Hani Al-Sayeh

According to our database, Hani Al-Sayeh authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications.

Hani Al-Sayeh, Muhammad Attahir Jibril, Kai-Uwe Sattler

Proc. VLDB Endow., July, 2024

Accelerating Aggregation Using a Real Processing-in-Memory System.

Muhammad Attahir Jibril, Hani Al-Sayeh, Kai-Uwe Sattler

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Fast and Efficient Update Handling for Graph H2TAP.

Muhammad Attahir Jibril, Hani Al-Sayeh, Alexander Baumstark, Kai-Uwe Sattler

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

SparkCAD: Caching Anomalies Detector for Spark Applications.

Hani Al-Sayeh, Muhammad Attahir Jibril, Muhammad Waleed Bin Saeed, Kai-Uwe Sattler

Proc. VLDB Endow., 2022

Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications.

Hani Al-Sayeh, Bunjamin Memishi, Muhammad Attahir Jibril, Marcus Paradies, Kai-Uwe Sattler

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications.

Hani Al-Sayeh, Muhammad Attahir Jibril, Bunjamin Memishi, Kai-Uwe Sattler

Proceedings of the New Trends in Database and Information Systems, 2022

2020

A gray-box modeling methodology for runtime prediction of Apache Spark jobs.

Hani Al-Sayeh, Stefan Hagedorn, Kai-Uwe Sattler

Distributed Parallel Databases, 2020

2019

Gray Box Modeling Methodology for Runtime Prediction of Apache Spark Jobs.

Hani Al-Sayeh, Kai-Uwe Sattler

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018

Static Multi-tier MapReduce Jobs Workflow Scheduling in Hybrid Clouds.

Hani Al-Sayeh

Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, 2018