Unified Cloud Resource Management Across Service Providers
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Solution Overview
Problem
Managing and optimizing computing resources across multiple service provider networks is challenging due to their dynamic and elastic nature, leading to issues like over-provisioning, underutilization, and the need for individual management of resources.
Innovation Solution
A management service that logically groups workloads and VM instances across service providers, allowing users to perform batch operations, optimize resource utilization, and provide recommendations for improving performance and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing resources are provisioned across multiple datacenters, then service availability and scalability are improved, but management complexity increases requiring individual management of resources in each datacenter
Solution Approach 1:
The patent combines multiple computing resources from different datacenters into a unified virtualized pool. A management interface consolidates control over resources across datacenter1 and datacenter2, allowing users to provision and manage VM instances through a single system rather than individually managing each datacenter's resources separately.
Solution Approach 2:
The patent introduces a virtualization layer and management interface as an intermediary between users and physical computing resources. This intermediary abstracts the complexity of multi-datacenter infrastructure, presenting a simplified interface while maintaining the underlying distributed architecture for high availability and scalability.
2Reliability
If computing resources are over-provisioned to ensure availability, then service reliability is improved, but unnecessary costs increase
Solution Approach 1:
The patent implements dynamic resource provisioning where computing resources are allocated based on real-time demand rather than static over-provisioning. The system monitors workload requirements and automatically adjusts resource allocation, ensuring service reliability when needed while releasing resources when demand is low to avoid unnecessary costs.
Solution Approach 2:
The patent enables self-service automated resource management where the system autonomously provisions, monitors, and deallocates computing resources based on actual usage patterns and service level requirements, eliminating the need for manual over-provisioning decisions and reducing waste.
3Reliability
If computing resources are individually managed in each datacenter, then control and security are improved, but operational efficiency decreases requiring users to perform actions on each resource separately
Solution Approach 1:
The patent creates a universal management interface that can perform operations across multiple datacenters and resource types through a single system. Users can execute management actions (provisioning, monitoring, termination) on virtualized resources from any datacenter through one interface, maintaining security and control while dramatically improving operational efficiency.
Data Source
AI summary
Techniques are related to management service provider resources. The techniques may include receiving a first request to organize a first workload and a second workload. The first workload may be associated with a first computing resource provisioned on a first service provider network and the second workload may be associated with a second computing resource provisioned on a second service provider network. The techniques may import data associated with the first workload and the second workload into the space. The techniques may cause an action to be performed for the first workload and the second workload by implementing a first workflow for the first workload and implementing a second workflow for the second workload.