Publications

Accepted/Published Papers:

• Muhammad Abdullah, Waheed Iqbal, Faisal Bukhari, and Abdelkarim Erradi: Diminishing Returns and Deep Learning for Adaptive CPU Resource Allocation of Containers. IEEE Transactions on Network and Service Management (2020). [PDF]


• Muhammad Abdullah, Waheed Iqbal, Arif Mahmood, Faisal Bukhari, and Abdelkarim Erradi: Predictive Autoscaling of Microservices Hosted in Fog Micro Data Center. IEEE Systems Journal (2020). [PDF]


• Muhammad Abdullah, Waheed Iqbal, Josep Lluis Berral, Jorda Polo, and David Carrera: Burst-Aware Predictive Autoscaling for Containerized Microservices. IEEE Transactions on Services Computing (2020). [PDF]


• Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluis Berral, Abdelkarim Erradi, David Carrera: Adaptive Sliding Windows for Improved Estimation of Data Center Resource Utilization. Future Generation Computer Systems, 104 (2020): 212-224. [PDF]


• Muhammad Abdullah, Waheed Iqbal, Abdelkarim Erradi, Faisal Bukhari: Learning Predictive Autoscaling Policies for Cloud-hosted Microservices Using Trace-driven Modeling. In the 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), PP. 119-226, 2019, Sydney, Australia. [PDF]


• Waheed Iqbal, Abdelkarim Erradi, Muhammad Abdullah, Arif Mahmood: Predictive Auto-scaling of Multi-tier Applications Hosted on Performance Varying Cloud Virtual Machines. IEEE Transactions on Cloud Computing, (2019). [PDF]


• Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluis Berral, Abdelkarim Erradi, David Carrera: Adaptive Prediction Models for Data Center Resource Utilization Estimation. IEEE Transactions on Network and Service Management, 16 (2019):1681-1693. [PDF]


• Shuja-ur-Rehman Baig, Waheed Iqbal, Josep Lluis Berral, Abdelkarim Erradi, David Carrera: Real-time Data Center's Telemetry Reduction and Reconstruction Using Markov Chain Models. IEEE Systems Journal, 13 (2019): 4039-4050. [PDF]


• Abdelkarim Erradi, Waheed Iqbal, Arif Mahmood, Athman Bouguettaya: Web Application Resource Requirements Estimation based on the Workload Latent Features. IEEE Transactions on Service Computing, (2019). [PDF]


• Bilal Iqbal, Waheed Iqbal, Nazar Khan, Arif Mahmood, Abdelkarim Erradi: Canny Edge Detection and Hough Transform for High Resolution Video Streams Using Hadoop and Spark. Accepted in Cluster Computing, 1-12, (2019). [PDF]


• Muhammad Abdullah, Waheed Iqbal, Abdelkarim Erradi: Unsupervised Learning Approach for Web Application Auto-Decomposition into Microservices. Journal of Systems and Softwares, 151: 243-257, (2019). [PDF]


• Alenezi, Mamdouh, Muhammad Usama, Khaled Almustafa, Waheed Iqbal, Muhammad Ali Raza, and Tanveer Khan: An Efficient, Secure, and Queryable Encryption for NoSQL-Based Databases Hosted on Untrusted Cloud Environments. International Journal of Information Security and Privacy (IJISP) 13, no. 2 (2019): 14-31.


• Waheed Iqbal, Abdelkarim Erradi, Arif Mahmood: Dynamic Workload Patterns Prediction for Proactive Auto-scaling of Web Applications. Journal of Network and Computer Applications, 124, pp.94-107, (2018). [PDF]


• Muhammad Abdullah, Waheed Iqbal, Faisal Bukhari: Containers vs Virtual Machines for Auto-Scaling Multi-tier Applications Under Dynamically Increasing Workloads. Proceedings of the International Conference on Intelligent Technologies and Applications (INTAP), Springer, pp. 153-167, 2018. [PDF]


• Muhammad Abdullah, Saad Ahmad Kha, Mamdouh Alenezi, Khaled Almustafa, Waheed Iqbal: Application Centric Virtual Machine Placements to Minimize Bandwidth Utilization in Datacenters. Intelligent Automation and Soft Computing, 1–14, (2018). [PDF]