Invited Speaker

Abstract: The notion of cloud computing is used for providing service as a utility over the internet via dynamic provisioning of resources. Cloud computing suffers from several issues that need to be resolved before its true realization. Load balancing is one of those challenges that requires significant research consideration. In this talk, we will talk about load balancing challenges in cloud computing. The talk presents a taxonomy of those approaches. We will also present a long short term memory (LSTM) based approach for load balancing in cloud environments. Deep learning has been used as a crosscutting solution for several research problems. Using LSTM, one can model long term dependencies between current and past data. This modelling of future state has been utilized and this talk will present a solution that predicts future state of the VM. Based on that, one can proactively migrate VM in case of a possible overload prediction.

Biography: Prof. Dr. Noman Islam has done PhD in Computer Science from National University of Computer and Emerging Sciences, Karachi and has overall 15 years of experience. He is currently associated as Professor and HoD at Iqra University and post-doc fellow at University of Kuala Lumpur Malaysia. He is an author of more than 50 peer-reviewed research publications (with a citations count of more than 830). He is core member of Presidents of Pakistan Initiative for Artificial Intelligence and Computing (PIAIC). He has also several international certifications to his credit.