Job Scheduling for Edge-Cloud Computing in IoT Systems, M.Sc. Thesis Sharif University of Technology ; Shah Mansouri, Hamed (Supervisor) ; Namvar, Mehrzad (Co-Supervisor)
Abstract
IoT-based systems use cloud computing servers that are generally far away from them to perform tasks. Whenever there is a computational task that requires heavy and complex processing, the problem of offloading decision is to identify the best computing server to perform the processing related to this task. Numerous dynamic factors affect the solution to this problem.Optimization in energy consumption of the device that has generated a task alongside reducing its calculation delay can be applied in solving the offloading problem. The optimization problem that is formed to minimize the energy consumption in the offloading decision is an integer programming problem that is generally difficult...
Cataloging briefJob Scheduling for Edge-Cloud Computing in IoT Systems, M.Sc. Thesis Sharif University of Technology ; Shah Mansouri, Hamed (Supervisor) ; Namvar, Mehrzad (Co-Supervisor)
Abstract
IoT-based systems use cloud computing servers that are generally far away from them to perform tasks. Whenever there is a computational task that requires heavy and complex processing, the problem of offloading decision is to identify the best computing server to perform the processing related to this task. Numerous dynamic factors affect the solution to this problem.Optimization in energy consumption of the device that has generated a task alongside reducing its calculation delay can be applied in solving the offloading problem. The optimization problem that is formed to minimize the energy consumption in the offloading decision is an integer programming problem that is generally difficult...
Find in contentBookmark |
|