COMFAST: A comparative framework for analysis of scheduling techniques in multi-core systems. - Sarah Shah; Abdul Qahir; Masooma Safeer; Sana Mazahir; Osman Hasan (SysCon, 2018)

Fast and Lightweight Execution Time Predictions for Spark Applications. - Yasaman Amannejad; Sarah Shah; Diwakar Krishnamurthy; Mea Wang (CLOUD, 2019)

Quick Execution Time Predictions for Spark Applications. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy; Mea Wang (CNSM, 2019)

Diaspore: Diagnosing Performance Interference in Apache Spark. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (IEEE Access, 2021)

PERIDOT: Modeling Execution Time of Spark Applications. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy; Mea Wang (IEEE Open J. Comput. Soc., 2021)

Predicting the Performance of DNNs to Support Efficient Resource Allocation. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (CNSM, 2023)

SLA-Driven Performance Prediction for Co-Hosted DNNs. - Sarah Shah; Yasaman Amannejad; Diwakar Krishnamurthy (NOMS, 2025)