Paper-Conference

ORION: Integrated Runtime Modelling for Predicting Deep Learning Training Time

Pourali, A., Khazaei, H.

PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time

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

A Learning-Based Caching Mechanism for Edge Content Delivery

Torabi, H., Khazaei, H., Litoiu, M.

Employing Software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems

Akhtarian, N., Khazaei, H., Litoiu, M.

Reviving Software Diversity in Microservices to Optimize the Performance of Software Systems

Dhaliwal, P., Khazaei, H.

Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda

Dantas, J., Khazaei, H., Litoiu, M.

GreenLAC: Resource-Aware Dynamic Load Balancer for Serverless Edge Computing Platforms with AWS Greengrass

Dantas, J., Litoiu, M., Khazaei, H.

Performance Analysis of Hyperledger Besu in Private Blockchain

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

A Holistic Machine Learning-Based Autoscaling Approach for Microservice Applications

Goli, A., Mahmoudi, N., Khazaei, H., Ardakanian, O.

BIAS Autoscaler: Leveraging Burstable Instances for Cost-Effective Autoscaling on Cloud Systems

Dantas, J., Litoiu, M., Khazaei, H.