چكيده به لاتين
Abstract:
In this thesis, we try to provide a cloud computing architecture based on Information-Centric Networks (ICN) for the Internet of Things. The dramatic changes brought about by the emergence of Fog computing show that the Internet of Things requires major and urgent reforms. Because of the limitations that create rigid design philosophies, we know that the traditional structure of a network can hardly provide modern demands. However, the ICN is a promising solution for bridging and covering existing gaps.
Also, since cloud computing is a relatively new pattern, it still faces many challenges. An important challenge facing cloud service providers is the effective and informed management of physical resources hosted by physical infrastructure. Considering the importance of cloud resource management in this research, we propose a new method for improving message management with problem-solving approach with meta-optimization algorithms such as genetic algorithm and Whale algorithm ... in the infrastructure layer as cloud computing environment service we will focus. In this research, we will manage the physical resources in the clouds and fog of the two layers. In the cloud layer, we will improve the sequencing and assignment of tasks, because if the tasks are not correctly executed in the queue, the long queues are formed, and if the tasks are not allocated to the correct server, the total system time will increase. But in this research, packages can include one or more requests, in fact, by multiplying the parcels and executing requests parallel, the speed of the work goes up, and in Fog, if the parameters are not optimally optimized, many packets will be lost. , The system errors increase, the cost of sending increases, ...
Keywords: Internet of Things, Cloud Computing, Fog Computing, Information-Centric Networks(ICN).
