Data Center Component Imaging for Modular Rack Expansion

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Solution Overview

Problem

Cloud service providers face challenges in scaling cloud services efficiently due to the fixed size of dedicated computing resources in data centers, leading to resource inefficiencies and difficulty in expanding core services without impacting customer availability.

Innovation Solution

Implementing a scalable footprint data center architecture that integrates core CSP services into an overlay network, using hyperconverged server racks with SmartNICs and TPMs, allowing for flexible resource allocation and expansion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If dedicated hardware is used for service enclave, then service reliability is improved, but device complexity and scalability are worsened

Engineering Contradiction:
Improveservice availabilityVSAvoidfixed size computing resources
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges the service enclave functionality into the overlay network by implementing core services (compute, networking, storage, identity, key management) as virtual machines running on standard hardware. This consolidation eliminates the need for separate dedicated hardware while maintaining service reliability through virtualization and software-defined networking.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

Standard hardware devices are made universal by running multiple service enclaves and customer workloads simultaneously on the same physical infrastructure. The overlay network enables any hardware resource to serve multiple purposes dynamically, replacing the traditional model where dedicated hardware served single purposes.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If service enclave is sized for largest predicted demand, then service availability is improved, but loss of resources increases

Engineering Contradiction:
Improveservice availabilityVSAvoidunused computing resources
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The service enclave size is made dynamic rather than fixed. The overlay network enables the system to allocate computing resources on-demand based on actual customer demand, allowing the service enclave to expand or contract automatically. This dynamic scaling eliminates wasted resources from over-provisioning while ensuring adequate capacity when needed.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of service enclave capacity from a static fixed size to a variable dynamic size. By implementing services as virtual machines in an overlay network, the system can adjust the number of allocated resources based on real-time demand patterns, optimizing the balance between availability and resource utilization.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If additional racks and servers are added to expand resources, then productivity is improved, but device complexity and manufacturing difficulty increase

Engineering Contradiction:
Improvecloud resource availabilityVSAvoiddata center expansion complexity
Core Design Contradiction:
ProductivityVSEase of manufacture

Solution Approach 1:

The data center is segmented into modular units where standard hardware components can be independently deployed and configured. The overlay network architecture allows for modular expansion where new racks and servers are added as discrete units that automatically integrate into the existing infrastructure through software-defined networking, simplifying the expansion process.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses virtual machine images and templates to rapidly deploy and replicate service enclaves and customer workloads. Instead of manually configuring each new server, the system can copy and clone verified hardware configurations and software stacks, significantly reducing the complexity and time required for data center expansion.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250383927A1Device imaging for building pre-fabricated scalable footprint data centers
Publication Date: 2025.12.18 ORACLE INT CORP
  • US20250383927A1 patent drawing
  • US20250383927A1 patent drawing
  • US20250383927A1 patent drawing

AI summary

Techniques are disclosed for imaging computing components of a scalable footprint data center in a prefab factory. A host device in a host region data center can execute a region replicator. The region replicator can obtain configuration information for the plurality of computing devices for the scalable footprint data center. The configuration information can include connection information for a management controller of a computing device of the plurality of computing devices. The region replicator can configure, using the configuration information, the management controller to execute an imaging process on the computing device. The imaging process can be configured to perform an imaging operation for a storage device of the computing device. The region replicator can receive an indication that the imaging operation is complete.