Distributed Data Center Overlay for Secure Dedicated Workloads

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Solution Overview

Problem

Existing cloud solutions face security concerns due to shared hardware among tenants, lack flexibility in managing diverse customer locations with varying hardware profiles, and require complex management for large-scale deployments, leading to inefficiencies and potential data leaks.

Innovation Solution

A system architecture that deploys and manages distributed data centers with dedicated hardware for each customer, utilizing virtualization and overlay networking to create a unified data center environment, allowing for flexible management and secure operation across multiple locations with heterogeneous hardware configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If cloud solutions use shared hardware among tenants, then resource utilization is improved, but security risks and data leak concerns increase

Engineering Contradiction:

Improveresource utilizationVSAvoidsecurity

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system segments cloud infrastructure into dedicated hardware resources for each customer, creating isolated computing environments. Each customer receives dedicated compute, storage, and networking resources rather than sharing physical hardware, thereby maintaining high resource utilization through virtualization while ensuring security through physical isolation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a distributed data center management system as an intermediary layer that orchestrates resource allocation across multiple data centers. This intermediary manages the complexity of dedicated hardware deployment while maintaining efficient resource utilization through intelligent workload placement and resource orchestration.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If cloud solutions use dedicated hardware for each customer, then security is improved, but device complexity and management complexity increase

Engineering Contradiction:

ImprovesecurityVSAvoidmanagement complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a universal management platform that handles multiple functions across diverse hardware configurations. The system provides unified resource orchestration, workload management, and monitoring capabilities that work across different data center environments, reducing management complexity despite the diversity of dedicated hardware.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements feedback mechanisms that continuously monitor resource utilization, performance metrics, and security events across distributed data centers. This feedback enables automated decision-making for workload placement, resource allocation, and security incident response, reducing the manual management burden of dedicated hardware deployments.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If cloud solutions manage diverse customer locations with varying hardware profiles, then adaptability is improved, but device complexity increases

Engineering Contradiction:

Improveflexibility in managing diverse locationsVSAvoidhardware configuration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent employs parameter-based configuration management that allows the system to adapt to different hardware profiles by changing operational parameters rather than restructuring the entire system. The management platform adjusts resource allocation, networking configurations, and storage parameters dynamically based on the specific hardware characteristics of each customer location, enabling flexibility without proportional increases in complexity.

Inventive Principle:

Principle #35Parameter changes

4Productivity

If cloud solutions require complex management for large-scale deployments, then scalability is improved, but ease of operation worsens

Engineering Contradiction:

ImprovescalabilityVSAvoidoperational simplicity

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The patent implements self-service capabilities that enable automated provisioning, deployment, and management of cloud resources at scale. The system automatically handles workload placement, resource allocation, and infrastructure configuration without requiring manual intervention for each deployment, maintaining operational simplicity while achieving large-scale scalability through automation.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12541386B2Distributed data center

Publication Date: 2026.02.03 EMC IP HLDG CO LLC

AI summary

A system can maintain a first data center in a first physical location that comprises first compute hardware, and a second data center in a second physical location that comprises second compute hardware. The system can establish an overlay network that spans the first data center and the second data center. The system can establish a group of virtualized volume identifiers that spans the first data center and the second data center, and that virtualizes physical storage volumes. The system can determine whether to process a customer virtualized workload on the first data center or on the second data center to produce a selected location, wherein the customer virtualized workload is configured to be processed on the first data center and to be processed on the second data center. The system can process the customer virtualized workload at the selected location.