Article-Journal

Chronos: A Unified Framework for Predicting Training Time and Convergence in Deep Learning

Training deep neural networks requires extensive experimentation to estimate how long it will take, and how much it will cost, for a …

Pourali, A., Boukani, A., Khazaei, H.

CAPE: Generalized Convergence Prediction Across Architectures Without Full Training

Pourali, A., Boukani, A., Khazaei, H.

BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading

Fan, C., Khazaei, H., Musilek, P.

Performance Modeling of Metric-Based Serverless Computing Platforms

Mahmoudi, N., Khazaei, H.

Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications

Lin, C., Mahmoudi, N., Fan, S., Khazaei, H.

MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms

Mahmoudi, N., Khazaei, H.

Performance Modeling of Microservice Platforms

Khazaei, H., Mahmoudi, N., Barna, C., Litoiu, M.

Autonomic Security Management for IoT Smart Spaces

Lin, C., Khazaei, H., Walenstein, A., Malton, A.

Optimizing the Performance of Containerized Cloud Software Systems using Adaptive PID-Controllers

Sabuhi, M., Mahmoudi, N., Khazaei, H.

Performance Analysis of the IOTA DAG-Based Distributed Ledger

Fan, C., Ghaemi, S., Khazaei, H., Chen, Y., Musilek, P.