Hani Al-Sayeh

11 papers A* 1B 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Experimental Evaluation of Dynamic Topic Modeling Algorithms.
CoRR
Ngozichukwuka Onah, Nadine Steinmetz, Hani Al-Sayeh, Kai-Uwe Sattler
2024 A* conf
Accelerating Aggregation Using a Real Processing-in-Memory System.
ICDE
Muhammad Attahir Jibril, Hani Al-Sayeh, Kai-Uwe Sattler
2024 J jnl
Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications.
Proc. VLDB Endow.
Hani Al-Sayeh, Muhammad Attahir Jibril, Kai-Uwe Sattler
2023 B conf
Fast and Efficient Update Handling for Graph H2TAP.
EDBT
Muhammad Attahir Jibril, Hani Al-Sayeh, Alexander Baumstark, Kai-Uwe Sattler
2022 — conf
Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications.
ADBIS (Short Papers)
Hani Al-Sayeh, Muhammad Attahir Jibril, Bunjamin Memishi, Kai-Uwe Sattler
2022 J jnl
Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications.
CoRR
Hani Al-Sayeh, Muhammad Attahir Jibril, Bunjamin Memishi, Kai-Uwe Sattler
2022 — conf
Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications.
SIGMOD Conference
Hani Al-Sayeh, Bunjamin Memishi, Muhammad Attahir Jibril, Marcus Paradies, Kai-Uwe Sattler
2022 J jnl
SparkCAD: Caching Anomalies Detector for Spark Applications.
Proc. VLDB Endow.
Hani Al-Sayeh, Muhammad Attahir Jibril, Muhammad Waleed Bin Saeed, Kai-Uwe Sattler
2020 J jnl
A gray-box modeling methodology for runtime prediction of Apache Spark jobs.
Distributed Parallel Databases
Hani Al-Sayeh, Stefan Hagedorn, Kai-Uwe Sattler
2019 — conf
Gray Box Modeling Methodology for Runtime Prediction of Apache Spark Jobs.
ICDE Workshops
Hani Al-Sayeh, Kai-Uwe Sattler
2018 — conf
Static Multi-tier MapReduce Jobs Workflow Scheduling in Hybrid Clouds.
Grundlagen von Datenbanken
Hani Al-Sayeh