Cloud Instance Migration via Dynamic Resource Allocation
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Solution Overview
Problem
Existing cloud computing migration methods struggle to dynamically integrate cloud resources with enterprise networks, leading to inefficiencies in resource allocation and utilization.
Innovation Solution
A method and apparatus that dynamically identify applications exceeding usage thresholds, initiate creation of cloud instances outside the enterprise network, and manage resource allocation to optimize cloud and physical resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud computing is outsourced and remote, then resource allocation flexibility is improved, but integration with existing enterprise networks becomes difficult
Solution Approach 1:
The patent introduces a cloud integration platform that acts as an intermediary between remote cloud resources and existing enterprise networks. This platform provides standardized interfaces and protocols that enable seamless communication and resource allocation, resolving the integration complexity while maintaining the flexibility benefits of cloud computing.
Solution Approach 2:
The cloud integration platform is designed with universal functionality that can work with multiple different enterprise network configurations and cloud service providers. It provides a standardized interface layer that adapts to various underlying systems, enabling broad compatibility without requiring complex custom integration for each scenario.
2Reliability
If cloud instances are created outside the enterprise network, then resource isolation and security are improved, but network latency and connectivity issues may worsen
Solution Approach 1:
The system pre-establishes optimized network pathways and connectivity protocols between the enterprise network and cloud instances before actual resource allocation occurs. This preliminary configuration ensures that when cloud instances are created outside the enterprise network, the network latency is minimized through pre-configured routing and connection optimization.
Solution Approach 2:
The network connectivity system dynamically adjusts routing paths and resource allocation based on real-time network conditions. When cloud instances operate outside the enterprise network, the system continuously monitors latency and automatically reroutes traffic through optimal paths, maintaining fast performance while preserving security isolation.
3Productivity
If dynamic resource allocation is implemented, then resource utilization efficiency is improved, but system complexity and monitoring requirements increase
Solution Approach 1:
The patent implements an automated feedback loop that continuously monitors resource usage metrics and dynamically adjusts resource allocation accordingly. The system tracks utilization patterns, identifies optimization opportunities, and automatically reallocates resources to maximize efficiency. This automated feedback mechanism reduces the need for manual monitoring while maintaining high resource utilization efficiency.
Solution Approach 2:
The dynamic resource allocation system is designed to be self-managing, automatically detecting resource needs and allocating appropriate cloud instances without human intervention. The system monitors its own performance metrics and makes autonomous decisions about resource distribution, reducing operational complexity while maintaining high utilization efficiency through intelligent self-optimization.
Data Source
AI summary
Cloud migration may be performed by identifying applications that are currently operating in the enterprise and performing certain determinations as to whether those applications are proper candidates for the migration to the cloud. One example method of operation may provide identifying at least one application operating on an enterprise network, retrieving current usage data of the at least one application, comparing the current usage data of the at least one application to a threshold amount of usage data to determine whether the application has exceeded the threshold amount of usage data. Next, the creation of an instance process may be performed on an entity operating outside the enterprise network and the application may be operated via the instance process and otherwise terminated in the enterprise network to alleviate resources.