The invention discloses a mMulti-QoS constraint-based task scheduling ant colony optimization algorithm for a wide area information management system
A technology of wide-area information management and ant colony optimization algorithm, which is applied in the field of civil aviation special information system network, and can solve the problems of considering the execution time span of tasks to be executed.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0027] A preferred embodiment of a method for evaluating the survivability of a BP neural network-based wide-area information management system according to the present invention will be described in detail below in conjunction with the accompanying drawings.
[0028] Figure 1 to Figure 2 Specific implementation methods of the present invention are shown: SWIM survivability PDRRDR model, BP neural network-based SWIM survivability evaluation model and SWIM survivability evaluation index system.
[0029] The present invention comprises the following steps:
[0030] 1. SWIM task scheduling model
[0031] SWIM task scheduling focuses on the following three QoS constraints:
[0032] (1) Time: The acceptable execution time limit for each task.
[0033] (2) Security: The security level available on SWIM nodes.
[0034] (3) Reliability: The probability that the task can be successfully executed.
[0035] SWIM is mainly composed of three parts, namely:
[0036] (1) SWIM shared d...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com