Proximity-Based Workload Placement via Access Heat Maps
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Solution Overview
Problem
Current workload and data placement in public and hybrid cloud infrastructures rely on manual rules and fail to support dynamic end-user needs for proximity-based solutions, lacking automation and efficiency in resource placement.
Innovation Solution
A method and system for proximity-based workload and data placement that uses an access heat map to select resources, identify access sources, determine placement operation types based on resource types, and orchestrate placement operations to improve resource accessibility and responsiveness by dynamically replicating or migrating resources between infrastructures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual rules are used for workload and data placement, then placement decisions can be made with simple control logic, but the system cannot dynamically respond to end-user proximity needs and placement efficiency deteriorates
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring access patterns through heat maps and using this information to dynamically adjust workload and data placement decisions, enabling the system to adapt to changing user proximity needs while maintaining automated control
Solution Approach 2:
The placement system operates autonomously by automatically analyzing heat map data, identifying optimal placement locations, and executing placement operations without manual intervention, thereby dynamically responding to user needs while keeping control logic complexity manageable through automation
2Productivity
If automated proximity-based placement is implemented, then responsiveness to dynamic end-user needs improves, but the complexity of placement orchestration increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal placement locations and maintaining heat map data structures that identify potential placement targets before actual placement operations are needed, thereby improving placement efficiency while managing orchestration complexity through advance preparation
Solution Approach 2:
The patent introduces intermediary components including heat map data structures and placement selection criteria that mediate between raw access pattern data and placement decisions, simplifying the orchestration process while enabling efficient automated proximity-based placement through structured intermediate representations
3Speed
If resources are dynamically replicated or migrated based on access heat maps, then user access speed improves, but system complexity and operational overhead increase
Solution Approach 1:
The system applies local quality by replicating or migrating resources to specific locations identified by heat map elements that correspond to user proximity zones, thereby improving access speed for local users while managing complexity through targeted rather than universal resource duplication
Solution Approach 2:
The patent implements partial action by selectively replicating or migrating only those resources that meet specific placement criteria identified through heat map analysis, rather than universally duplicating all resources, thereby improving access speed for critical resources while limiting operational overhead through selective application
Data Source
AI summary
A method and system for proximity based workload and data placement. Specifically, the disclosed method and system improve the efficiency and responsiveness of workload and/or workload data access to end-users through dynamic and automated needs detection and replication or migration orchestration between infrastructures (or geographical areas).