时间：2019年5月7日 9:30-11:30

地点：1A502

报告人：Qing Tan

Title: Swarm Intelligence Optimization Algorithms for Cloud Computing

Abstract

Cloud Computing as an effective and novel paradigm of computing technology has been rapidly advanced and widely adopted. To meet the tremendous demand for cloud services, Cloud Service Providers (CSPs) strive to gain their market share and maximize their profit through enhancing cloud performance and optimizing their cloud services. This speech will introduce the aspects of the Cloud 3M, i.e. Monitoring, Management, and Maintenance from both Cloud Service Providers’ prospective and Cloud consumers’ view. Swarm Intelligence was developed from observation of insert/animal behavior and was inspired by the results of the existing cooperation in several biological societies. As optimization algorithms, Swarm Intelligence Optimization Algorithms have been studied and applied for cloud service optimization in different cloud deployment models. This speech will explore swarm intelligence optimization algorithms including Ant Colony Optimization(ACO), Particle Swarm Optimization (PSO), Cuckoo Search (CS) and their applications for Cloud Computing with the focus on the profit maximization and performance enhancement.

Biography

Dr. Qing Tan is an associate professor in School of Computing and Information Systems at Athabasca University. He earned his PhD in Cybernetics Engineering for Robotics from the Norwegian Institute of Technology in 1993. The Japan Atomic Energy Research Institute invited him in 1994 as a foreign senior research fellow. He did his post-doctoral fellowship at University of Alberta. He joined Athabasca University in 2007 with extensive IT industrial experiences. Dr. Tan is teaching and developing undergraduate and graduate courses including Mobile Computing, Computer Networking, E-Commerce, Enterprise Modeling, Cloud Computing, and Big Data Analytics. Dr. Tan’s research interests include Location-Based Technology, Mobile Computing, Adaptive Mobile Learning and Commerce, Enterprise Computer Network, Cyber Security and Data Privacy, Internet of Things, Big Data Analytics, Cloud Computing, Cyber-Physical System, Telepresence Robotics, Health Informatics and Medical Imaging Processing and Reconstruction. His research work also involves emerging technologies, such as, Artificial Intelligence, Machine Learning, Swarm Intelligence, and Blockchain. His research interests are also included the studying on the social impact of advanced computing and information technologies. Dr. Tan was one of the first people to introduce the location awareness of mobile devices into mobile learning applications. Dr. Tan has developed the Location-Based Dynamic Grouping Algorithm for collaborative mobile learning, the 5R Adaptation Framework for location-based mobile learning system, and the Location-based Object Identification Algorithm for Augmented Reality in adaptive mobile learning. While Dr. Tan’s research studies the theoretic and academic problems, he also strives to solve the application issues. He is working on building a cyber-physical system, the telepresence robot empowered smart labs at Athabasca University to allow online students to conduct lab works via the Internet. Dr. Tan received many research grants and published many papers on international journals and conferences.