Ranjbar_Pirbasti_Marzieh.pdf (1.45 MB)
Download file

Modeling Multi-Site Computation Offloading in Unreliable Cloud Environments

Download (1.45 MB)
thesis
posted on 24.05.2021, 07:46 by Marzieh Ranjbar Pirbasti
Offloading heavy computations from a mobile device to cloud servers can reduce the power consumption of the mobile device and improve the response time of mobile applications. However, the gains of offloading can be significantly affected by failures of cloud servers and network links. In this thesis, we propose a fault-aware, multi-site computation offloading model capable of finding efficient allocations of tasks to resources. Our model reduces both response time and energy consumption by incorporating the effect of failures and recovery mechanisms for various offloading allocations. In addition, we create a fault-injection framework to evaluate an allocation under various failure rates and recovery mechanisms. The experiments carried out with our fault-injection framework demonstrate that our fault-aware model can determine an allocation—based on the type of failures, failure rates, and the employed recovery mechanisms—that improves both response time and lower energy consumption compared to model without failures.

History

Language

eng

Degree

Doctor of Philosophy

Program

Electrical and Computer Engineering

Granting Institution

Ryerson University

LAC Thesis Type

Dissertation

Usage metrics

Keywords

Exports