Head of the Automated Scheduling, Optimisation and Planning (ASAP) group in the School of Computer Science at the University of Nottingham and leading on the LANCS initiative for Nottingham
Supervisors Research Topic
Dr. Dario Landa-Silva
BEng, MSc, PhD, FHEA
Associate Professor in Computer Science, in addition to his teaching and student project supervision activities, he also has the role of Postgraduate Research Director in the School of Computer Science.
Utilising Optimisatioin and Artficial Intelligence Techiques for Network Security Through Cloud Computing.
Recently, there is a multitude of decision problems facing today’s cloud computing industry (Liu et. al, 2011). All problems need to be solved regardless of whether a consumer adopts IaaS, PaaS, or SaaS, however the perspective with which the problem is solved may be different (Ilyas et. al, 2013). This could mean that different OR tools need to be employed. It is noted that quite a bit of research is being done in the areas of: data center capacity planning (provider perspective), data center scheduling (provider perspective), and provider matching and migration planning (broker perspective). On the other hand, other areas have not yet received much attention: pricing (provider perspective), intrusion detection and prevention (provider perspective), and capacity reverse auctions (broker perspective) (ibid).
Therefore, cloud computing decision problems may not be all-inclusive, and new technology is sure to give rise to further interesting decision-making questions as there are opportunities to study and develop tools from across the full methodological spectrum of Operations Research. My research aim is to investigate how current optimization approaches can be amended or new ones developed in order to tackle the issues of network security and optimise the Quality of Service (QoS) and energy efficiency problems through Cloud Computing. To this end, an optimization strategy for QoS and energy efficiency of Network Security will be implementing the optimisation and artificial intelligence techniques through cloud computing. Mathematical models, simulation approaches and experiments will be used for research in e-service management through cloud computing. There is a case study in e-banking will be conducted in Saudi Arabia.
1. Ilyas Iyoob, Emrah Zarifoglu, and A. B. Dieker; Cloud Computing Operations Research, Service Science: June 2013 5:88-101; published online before print March 1, 2013
2. Liu, H., Xu, D., & Miao, H. (2011, December). Ant Colony Optimization Based Service flow Scheduling with Various QoS Requirements in Cloud Computing. In Software and Network Engineering (SSNE), 2011 First ACIS International Symposium on (pp. 53-58). IEEE..
I am a first year PhD student at the School of Computer Science, University of Nottingham. I received my high Deploma in Computer Technology from the College of Technology in the field of Technical Support. Then I was awarded scholarship by the Technical and Vocational Training Corporation (TVTC) in Saudi Arabia to do my BSc and MSc in the UK, 2009/2010 - 2011/2012. After finishing the bachelor degree, 2011, my sponsor was keen for me to continue in this field at MSc level in order to enhance my skills further. The modules that I studied as part of my computer networking degree, at both BSc and MSc levels, instilled in me an interest in cloud computing.
Career interest & Future Professional Plan:
I have a great interest in network and security fundamentals, and emerging technologies such as cloud computing and crowd resources. I have also a great passion in professional project management approaches such as PRINCE2 or PMBOK techniques. My future plan is to study further in those fields using the techniques of Project management if possible. My Interests area includes Network Security, Cloud Computing, Intrusion Detection Systen/ Intrusion Prvention System (IDS/IPS), Optimization, Artificial Intelligence techniques, Heuristics and metaheuristics, Fuzzy Logic.