Karunanithi, Niranjan (2020) Mobile Offloading technique for Latency-sensitive and Computational-intensive task. Masters thesis, Dublin, National College of Ireland.
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Abstract
The idea of Mobile cloud computing is to utilise the resources of the powerful computing nodes for the improvement of performance in resource constraint devices. The offloading decision has been taken in various aspects of the device. In this paper, the decision making engine will offload both computational intensive task and latency sensitive task based on the device current parameters by considering different decision factor for respective type of task. Offloading computational intensive task will free up memory space in the device which improves the device performance but offloading latency sensitive task improves device performance with increased latency. Decision making engine decide when to offload and where to offload task by considering parameters such as user preference, type of network connectivity, type of charging, complexity of task. Decision engine works with different algorithm for the two types of tasks which increases the overall performance the device.
Item Type: | Thesis (Masters) |
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Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing |
Divisions: | School of Computing > Master of Science in Cloud Computing |
Depositing User: | Dan English |
Date Deposited: | 28 Jan 2021 14:44 |
Last Modified: | 28 Jan 2021 14:44 |
URI: | https://norma.ncirl.ie/id/eprint/4539 |
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