Mobile Terminal Cloud Search Method
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face challenges in efficiently and quickly searching large amounts of data stored on both mobile terminals and remote servers, with existing methods failing to provide effective and secure cloud searching solutions.
Innovation Solution
A method for a mobile terminal to implement cloud searching, which involves receiving user input, executing local and cloud searches, encrypting and transmitting data, and displaying results on a unified interface, ensuring secure data transmission and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on mobile terminal, then storage capacity is sufficient, but information security and loss risk increase
Solution Approach 1:
The patent divides data storage into two segments: local storage on the mobile terminal and remote storage on the cloud server. This segmentation allows the system to maintain sufficient storage capacity locally while transferring security-critical data to the cloud, thereby resolving the contradiction between storage capacity and information security.
Solution Approach 2:
The patent introduces a cloud server as an intermediary between the user and their data. The cloud server acts as a secure third-party storage medium, allowing users to access their data remotely while the server handles security protocols, thus resolving the security concerns associated with local storage.
2Reliability
If data is stored on cloud server, then information security is improved, but search efficiency decreases
Solution Approach 1:
The patent implements preliminary action by pre-processing and indexing data on the cloud server before search operations are initiated. The system prepares search indexes and metadata in advance, enabling fast retrieval even from large cloud-based data sets, thus resolving the contradiction between secure cloud storage and search efficiency.
3Productivity
If local and cloud data are searched simultaneously, then search effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent segments the search process into distinct local search and cloud search operations. By dividing the search functionality into separate modules that can be independently executed and coordinated, the system achieves comprehensive search effectiveness while managing complexity through modular architecture.
Solution Approach 2:
The patent implements partial action by conditionally executing either local search, cloud search, or both simultaneously based on network availability and user needs. This selective approach allows the system to achieve high search effectiveness when conditions permit while reducing complexity by performing only necessary search operations.
Data Source
Figure 1
Figure 2
AI summary
Disclosed is a method using a mobile terminal to implement cloud searching. The method comprises: A, the mobile terminal receiving searching conditions input by a user; B, the mobile terminal executing local searching and detecting whether networking is executed, executing step C if networking is executed, and returning local searching results if networking is not executed; C, the mobile terminal detecting whether the local stores user account information, and connecting to a cloud server when the local of the mobile terminal stores the user account information; D, the mobile terminal transmitting the searching conditions to the cloud server; and E, the cloud server executing cloud searching according to the searching conditions, and returning searching results to the mobile terminal. In the present invention, data on the local of the mobile terminal and the cloud server are searched simultaneously according to the searching conditions, and the local searching results and the searching results of the cloud server are displayed on the same user interface, so that the data stored by the user can be searched effectively and rapidly.