An Efficient Resource Allocation Mechanism for Time-Sensitive Data in Dew Computing
M. Saddam Hossain Khan, Puloma Roy, Fatema Khanam, Farzana Hannan Hera, Amit Kumar Das · 2019
In this fast-growing world, the faster access of data is getting substantial day by day. Nowadays, the users wish autonomy from handling data locally and poverties that the data must become accessible anytime and everywhere. Dew computing composed of cloud and fog makes a cloud-dew architecture which can resolve the disputes. In dew computing, the provision of resources plays a crucial role in determining the resource utilization, performance, and quality of service of the users. The proper allocation of virtual machines (VMs) for a particular time-sensitive task in dew computing is also one of the significant research challenges. We have proposed an efficient resource allocation mechanism for allocating time-sensitive tasks using the proper allocation of VMs in dew computing and also shown the overall task allocation hierarchy between dew-fog-cloud computing in this paper. Our simulation outcomes illustrate that the newly proposed resource allocation mechanisms for time-sensitive data outperform the conventional cloud-fog mechanisms in the iFogSim simulator in terms of network usages, average latency control loop and execution time.