Cloud Infrastructure Multi-Tenancy Segmentation
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Solution Overview
Problem
Current cloud computing environments face challenges in providing a scalable, secure, and efficient platform for delivering infrastructure, platform, and software services across public and private clouds, with limitations in managing multiple tenants and ensuring secure access and resource allocation.
Innovation Solution
The system employs a shared enablement and management infrastructure, including identity management, data integration, virtual assembly builder, and service orchestration components, to support multiple service layers and tenants, utilizing Oracle Exalogic and Exadata machines, and Java Cloud Service infrastructure for self-service provisioning and secure deployment of applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cloud computing environment is designed to support multiple tenants with secure access, then security and multi-tenancy are improved, but system complexity increases
Solution Approach 1:
The system segments cloud resources into isolated tenant environments with dedicated virtual machines, storage volumes, and network configurations. Each tenant operates in an isolated context while sharing the underlying physical infrastructure, enabling secure multi-tenancy without compromising system complexity.
Solution Approach 2:
The patent introduces identity management components and service orchestration layers as intermediaries between tenants and cloud resources. These intermediaries handle authentication, authorization, and resource allocation, securing access while abstracting the complexity from end users.
2Speed
If cloud services provide on-demand resource provisioning, then service speed is improved, but resource management complexity increases
Solution Approach 1:
The system pre-configures virtual machine templates, storage volume patterns, and network configurations that can be rapidly instantiated upon demand. These pre-prepared resources enable fast provisioning while the underlying management complexity is handled by automation frameworks.
Solution Approach 2:
The patent implements self-service portals and automated provisioning systems that allow tenants to allocate and configure resources independently. This self-service capability accelerates provisioning speed while the system automatically manages the complexity of resource allocation, billing, and monitoring.
3Reliability
If the system supports enterprise-grade security and compliance, then reliability is improved, but ease of operation decreases
Solution Approach 1:
The system implements universal security frameworks and compliance templates that can be applied across multiple tenants and workloads. These standardized security configurations enforce enterprise-grade requirements while being automatically applied, reducing the operational burden on individual users.
Data Source
AI summary
A system and method for enabling a cloud computing environment. In accordance with an embodiment, the system can include a variety of hardware and/or software components and features, which can be used in delivering an infrastructure, platform, and/or applications to support public and private clouds.