Enhanced Task Scheduling with Metaheuristics for Delay and Energy Optimization in Cloud-Fog Computing

Title of the Talk:Enhanced Task Scheduling with Metaheuristics for Delay and Energy Optimization in Cloud-Fog Computing
Host Faculty: Dr.Praveen Tammana
Speaker: Dr. Karan Verma
Date: 07 May 2026
Time: 11.:00 am

Abstract
Enhanced Task Scheduling with Metaheuristics for Delay and Energy Optimization in Cloud-Fog Computing. The growth of the Internet of Things (IoT) and its application across various industries has produced large volumes of data for processing. Tasks that require prompt responses, particularly delay-sensitive ones, are directed to the nearest fog nodes. Offloading critical tasks to the cloud reduces user-side energy consumption but increases latency due to longer transmission distances. Fog nodes, being closer to the source, minimize delay but may require more local energy. Another major issue in cloud-fog computing is allocating tasks to suitable resources according to task needs. To tackle these challenges, this study introduces a hybrid meta-heuristic approach by combining the Butterfly Swarm Optimization (BSO) algorithm with the heuristic Minimum Completion Time (MCT) initialization method. The key innovation of this work lies in the integration of MCT-based heuristic initialization with the BSO algorithm, enabling faster convergence and more efficient task scheduling by balancing energy and delay in heterogeneous cloud-fog environments. Both delay and energy consumption are reduced through the MCT-BSO algorithm, in which the fog broker effectively manages the task distribution. Simulation results show that the MCT-BSO method achieves delay reductions of approximately 20.7% to 36.3% and improvements in energy consumption ranging from 15.4% to 38.1%, significantly outperforming comparative algorithms such as GreyWolf Optimization, Nondominated Sorting Genetic Algorithm II, and Modified Particle Swarm Optimization, particularly under high workload conditions.

Bio
Dr. Karan Verma is an accomplished academician and researcher currently serving as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology (NIT) Delhi, India. With over a decade of academic and research experience, along with significant administrative responsibilities, he has made notable contributions to the field of Information Technology and Computer Science. His areas of expertise include Machine Learning, Deep Learning, Cloud Computing, Cyber Security, Internet of Things (IoT), Wireless Ad Hoc Networks, and emerging technologies such as 5G and Big Data. He has a strong research background with more than 30 international journal publications, 25 conference papers, and several book chapters. His research contributions are further supported by multiple national and international funded projects, including collaborations with institutions from countries like Germany, Brazil, France, and Israel.

Dr. Verma completed his Ph.D. in Information Technology from Universiti Teknologi PETRONAS, Malaysia, where his research focused on detecting and preventing Denial of Service (DoS) attacks in Vehicular Ad Hoc Networks. He also holds an M.Tech from the Indian Institute of Technology (IIT) Roorkee and a Bachelor’s degree in Information Technology. Additionally, he has completed a Post-Doctoral Fellowship at the University of California, Davis, USA.

Throughout his career, Dr. Verma has held various academic and administrative roles, including Assistant Professor at NIT Delhi and Central University of Rajasthan, as well as international teaching experience in Malaysia. He has also served in important administrative positions such as Head of Computer Centre, Deputy Chief Warden, and Assistant Registrar (Academics). Currently, he is actively involved in institutional development activities including academic committees, accreditation processes, and student welfare initiatives.