Abstract:
In this study, we provide a framework for automated offloading of smartphone computation-intensive apps to cloud virtual processing using smartphone image online. The application’s developers can use an offloading framework to transfer its compute-intensive, non-interactive elements based on static analysis to the Smartphone image in the cloud. Read more: A Multi-task Oriented Framework for Mobile Computation Offloading
Every query-processing procedure selected by the user receives a TimeStamp. Users can select a text or file, choose local/cloud/hub processing, and encrypt. Each process’s TimeStamp is displayed as statistics. Static analysis makes decision-making faster and lighter than earlier methods. Read more: Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks
This framework will allow the program to offload its compute-intensive component to the cloud via the internet after comparing the cost to running on the phone. Data will be analyzed utilizing input size and internet connectivity. This framework lets developers enable apps to unload themselves without a third party to assess and offload sections. Read more: Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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