Control Plane Load Balancing in Utility Data Centers
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Solution Overview
Problem
Current data centers face inefficiencies in resource optimization and maintenance due to separate management of each enterprise's resources, leading to redundant upgrades and downtime, while lacking comprehensive tools for optimal resource sharing and load balancing across multiple enterprises.
Innovation Solution
Implementing a Utility Data Center (UDC) with virtual local area networks (VLANs) and control planes that allow enterprises to share resources, managed by a Network Operation Center (NOC) for centralized monitoring and control, enabling automatic resource reallocation and redundancy to ensure always-on availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate LANs are provided for each enterprise customer, then data security and isolation are improved, but resource sharing efficiency and load balancing capability deteriorate
Solution Approach 1:
The patent segments network resources into virtual LANs (VLANs) that can be dynamically allocated to different enterprises. Each enterprise gets isolated virtual network segments for security, while the physical infrastructure remains shared and can be dynamically reassigned. This resolves the contradiction by providing both isolation (through VLAN segmentation) and sharing (through dynamic resource allocation across enterprises).
Solution Approach 2:
The control plane infrastructure is designed to serve multiple enterprises simultaneously through a universal resource allocation system. The same physical servers, storage, and network infrastructure can be dynamically assigned to different enterprises based on demand, allowing the system to provide both secure isolation and efficient resource sharing across multiple customer environments.
2Ease of operation
If each enterprise manages its own resources separately, then operational control and security are improved, but maintenance time and costs increase due to redundant upgrades
Solution Approach 1:
The patent merges the resource management functions into a centralized control plane that operates on behalf of multiple enterprises. Instead of each enterprise maintaining separate management systems, the control plane consolidates management operations, allowing upgrades and maintenance to be performed once at the control plane level and automatically applied to all affected enterprises, thereby reducing redundant maintenance time and costs while preserving operational control through virtualization.
Solution Approach 2:
The control plane creates virtual copies of resource management functions that can be independently managed. By using virtualization, the system can replicate and manage resource configurations across multiple enterprises without requiring physical changes to each enterprise's infrastructure, enabling efficient maintenance through virtual resource duplication and migration.
3Reliability
If resources are dedicated to single enterprises, then service level guarantees and security are improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where dedicated physical resources are dynamically assigned to different enterprises based on real-time demand. The control plane continuously monitors resource usage and can reassign virtual instances to different enterprises, allowing the system to maintain service level guarantees through virtual dedication while improving utilization efficiency by moving resources between enterprises as needs change.
Solution Approach 2:
The system changes the allocation parameters of physical resources from static enterprise dedications to dynamic virtual assignments. By using virtualization layers, the control plane can modify resource allocation parameters in real-time, allowing the same physical resources to serve different enterprises at different times, thus improving utilization while maintaining service level guarantees through virtual resource isolation.
4Productivity
If centralized resource management is implemented, then load balancing and resource optimization are improved, but system complexity and control plane requirements increase
Solution Approach 1:
The control plane acts as an intermediary layer between the physical infrastructure and the virtual enterprise networks. This intermediary manages the complexity of load balancing and resource optimization by abstracting the detailed control logic into a dedicated management layer, while presenting simplified interfaces to both the infrastructure and the enterprises, thus enabling advanced load balancing capabilities without proportionally increasing overall system complexity.
Data Source
AI summary
A system and method analyzes resource usage within a utility data center (UDC) and recommends options to maximize efficient usage of these resources. Information is gathered about the current resources allocated to control planes within the UDC, including resource loads and threshold limits within each plane. Criteria used to analyze efficiency includes customer size and prioritization within the UDC, as well as, historical and trending information, and peak resource usage.