Satellite Grid Self-Organization via Claim Scoring
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Solution Overview
Problem
Existing management techniques for virtual data centers are manually configured and slow to adapt to the changing needs of virtualized environments, such as increases in services and data events, leading to challenges in managing nodes and data events effectively.
Innovation Solution
A self-organizing satellite grid system that uses satellites to claim management of nodes based on calculated claim scores according to node claim rules, allowing for automatic configuration and load balancing without user interaction, and includes failover capabilities to manage changes in node and satellite numbers, as well as data events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration techniques are used for managing virtual data centers, then initial setup and control are straightforward, but the system cannot adapt quickly to changing needs such as increases in services and data events
Solution Approach 1:
The patent implements self-service by enabling satellites to automatically claim management of nodes based on calculated claim scores without requiring manual configuration or user intervention. The system autonomously adapts to changing virtual data center needs through automated claim scoring and node management, resolving the contradiction between adaptability and automation by making the system self-configuring and self-managing.
2Productivity
If the number of nodes and data events increases rapidly, then service capacity and functionality improve, but management complexity and difficulty increase
Solution Approach 1:
The patent employs feedback mechanisms where satellites continuously monitor and calculate claim scores based on current node and data event conditions. This feedback loop enables the system to dynamically redistribute node management responsibilities according to changing loads, allowing the system to scale service capacity while maintaining manageable complexity through automated feedback-driven reconfiguration.
Solution Approach 2:
The system implements dynamics by allowing the management architecture to be fluid and adaptable rather than static. Satellites can dynamically claim and release node management based on real-time conditions, enabling the system to handle rapid changes in node and data event numbers while distributing management complexity across multiple autonomous satellites rather than concentrating it in a single management point.
3Extent of automation
If automated claim scoring is implemented, then self-organization and load balancing improve, but communication overhead between satellites increases
Solution Approach 1:
The patent applies partial action by implementing claim scoring and node management only when necessary rather than continuously. Satellites calculate claim scores and exchange management claims selectively based on changing conditions, avoiding constant communication while still achieving effective self-organization and load balancing. This resolves the contradiction by enabling automated functionality with minimal necessary communication overhead.
Data Source
AI summary
Methods, machine-readable media, and systems are provided for self-organization of a satellite grid 102. One method for self-organization of a satellite grid 102 includes receiving, with a first satellite 108-1, a list of a plurality of managed nodes 110-1, 110-2, 110-3, 110-4, 110-5, 110-6, 110-7, 110-8, 110-9, receiving, with the first satellite 108-1, rules, calculating a first claim score for a particular one of the plurality of managed nodes 110-1 and the first satellite 108-1 according to the rules, comparing the first claim score with a second claim score for the particular node 110-1 and a second satellite 108-2 that is managing the particular node 110-1, and claiming management of the particular node 110-1 based on the comparison.