Resource Information Server for Wireless Cloud Session Allocation
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Solution Overview
Problem
Managing cloud computing resources in wireless networks is challenging due to the need for efficient selection and allocation of application servers based on dynamic user equipment requirements and network conditions.
Innovation Solution
A resource information server selects an appropriate application server by determining application requirements and conditions, allowing for tailored session activation and resource allocation, which includes storing and comparing application and server data to optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud computing resources are managed in wireless networks, then network performance and user experience are enhanced, but resource allocation complexity and management difficulty increase
Solution Approach 1:
The patent introduces a resource information server as an intermediary component that mediates between user equipment and application servers. This server collects, stores, and manages resource information, simplifying the management complexity by centralizing resource allocation decisions and providing a standardized interface for resource requests and assignments
Solution Approach 2:
The system dynamically changes resource allocation parameters based on network conditions, user equipment capabilities, and application requirements. The resource information server stores and updates parameters such as available resources, resource conditions, and allocation policies, enabling flexible adaptation to varying network states without increasing permanent system complexity
2Productivity
If application servers are selected based on dynamic requirements and conditions, then resource allocation efficiency is improved, but selection process complexity increases
Solution Approach 1:
The resource information server performs preliminary actions by pre-collecting and storing resource information from multiple application servers, including available resources and current conditions. This advance preparation eliminates the need for real-time complex queries during resource allocation, simplifying the selection process while maintaining efficiency
Solution Approach 2:
The system implements feedback mechanisms where the resource information server continuously monitors and updates resource conditions based on actual usage and network state. This feedback loop enables dynamic optimization of resource allocation decisions without requiring complex centralized control, as servers autonomously adjust based on received feedback
3Measurement precision
If resource information is stored and compared for session activation, then resource allocation accuracy is improved, but information processing overhead increases
Solution Approach 1:
The resource information server stores resource information in a structured manner with specific fields for different resource types and conditions. Each application server provides locally relevant information about its specific capabilities and state, allowing precise matching without requiring complete global information, thus reducing processing overhead while maintaining allocation accuracy
Data Source
AI summary
A method, performed by a server device, may include receiving a request to activate an application session, the request being received from a user equipment on behalf of a particular application installed on the user equipment. The method may further include determining one or more application requirements associated with the particular application; determining conditions associated with one or more application servers; selecting a particular one of the one or more application servers based on the determined one or more application requirements and based on the determined conditions; and setting up the application session between the user equipment and between the selected particular one of the one or more application servers.