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An ontological approach to resource provisioning

Type: 
Bachelor
Supervisor: 

Today, we are moving towards automation with the advancement of technologies like Internet of Things (IoT), cloud computing and artificial intelligence. This movement towards automation is due to the fact that machines are more efficient than humans to perform the same type of repetitive tasks. In addition, automation also yields profitability. Therefore, automation has been a key focus as the technology advances. For example, the recent breakthroughs in artificial intelligence has resulted in autonomous vehicles. Automation, however, requires more than technological advancement, such as artificial intelligence techniques. Automation requires integration of different technologies like cloud computing, artificial intelligence techniques, computing hardware’s like IoT's, graphic processing unit. Automation also requires scheduling and provision of resources to the available computing hardware. The task of resource placement and scheduling is challenging and varies based on the task. The objective of this thesis is to address this resource provisioning challenge using the ontological approach in a dynamic IoT environment.

 

References:

  1. Xu, X., Mo, R., Dai, F., Lin, W., Wan, S. and Dou, W., 2019. Dynamic resource provisioning with fault tolerance for data-intensive meteorological workflows in cloud. IEEE Transactions on Industrial Informatics.
  2.  Deng, Y., Devarakonda, M.V., Head, M.R., Hosn, R.A., Kochut, A., Munson, J.P. and Shaikh, H.H., International Business Machines Corp, 2017. Ontology based resource provisioning and management for services. U.S. Patent 9,641,618.
  3.  López García, Á., Fernández‐del‐Castillo, E., Orviz Fernandez, P., Campos Plasencia, I. and Marco de Lucas, J., 2018. Resource provisioning in Science Clouds: Requirements and challenges. Software: Practice and Experience, 48(3), pp.486-498.
  4.  Li, W., Liao, K., He, Q. and Xia, Y., 2019. Performance-aware cost-effective resource provisioning for future grid IoT-cloud system. Journal of Energy Engineering, 145(5), p.04019016.
  5. Santos, J., Wauters, T., Volckaert, B. and De Turck, F., 2017, November. Resource provisioning for IoT application services in smart cities. In 2017 13th International Conference on Network and Service Management (CNSM) (pp. 1-9). IEEE.

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