Web Service Relocation for Data Residency and Latency Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Enterprises face challenges in deploying web services across multiple data centers to serve geographically distributed customers while ensuring compliance with data residency regulations and maintaining low network latency, which is referred to as the Web Service Location Allocation Problem (WSLAP). This problem becomes complex when changes in data residency laws or user demands require re-allocation with minimal operational cost and latency impact.
Innovation Solution
A processor-implemented method and system that analyze current allocations to identify non-compliance with data residency regulations and latency thresholds, and migrate user centers and web services to compliant data centers with minimal migrations, considering deployment cost, invocation frequency, and latency constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If web services are deployed at multiple data center locations to serve geographically distributed customers, then service response time is improved, but operational cost increases
Solution Approach 1:
The patent applies local quality by deploying web services at specific data center locations based on the geographic distribution of customer clusters. Each data center serves a specific region, providing locally optimized response times while avoiding unnecessary global deployment. The system dynamically determines which data centers should host services based on cluster locations and data residency requirements.
Solution Approach 2:
The patent segments the customer base into geographic clusters and assigns them to specific data centers. This segmentation allows the system to optimize service deployment at the cluster level rather than requiring universal multi-location deployment, thereby reducing operational costs while maintaining acceptable response times for each segment.
2Reliability
If web services are relocated to comply with data residency regulations, then regulatory compliance is achieved, but migration cost and service disruption increase
Solution Approach 1:
The patent performs preliminary analysis of data residency requirements and proactively identifies compliance issues before they become violations. The system pre-plains migration strategies by evaluating multiple scenarios and selecting optimal relocation paths that minimize disruption and cost while ensuring future compliance with regulatory changes.
Solution Approach 2:
The patent introduces an intermediary optimization layer that mediates between data residency compliance requirements and service continuity. This layer analyzes the impact of migrations on service latency and user experience, and selects intermediate solutions or timing strategies that reduce the overall cost and disruption of compliance-related relocations.
3Speed
If web services are relocated closer to user centers to reduce latency, then quality of service is improved, but deployment cost increases
Solution Approach 1:
The patent solves the latency-cost tradeoff by adding a temporal dimension to the deployment strategy. Instead of statically deploying services at all possible locations, the system dynamically relocates services based on time-varying user demand patterns. Services are positioned close to user centers during high-demand periods while being relocated during low-demand periods, thereby achieving low latency when needed without incurring continuous deployment costs.
4Adaptability or versatility
If current allocation is changed to accommodate new service offerings or user centers, then adaptability is improved, but operational cost increases
Solution Approach 1:
The patent implements dynamic allocation that automatically adapts to new service offerings and user centers without requiring manual reconfiguration or drastic changes to the existing infrastructure. The system continuously monitors demand patterns and automatically adjusts service placements, enabling the enterprise to accommodate changes while minimizing migration costs through incremental, optimized adjustments rather than comprehensive re-deployment.
Data Source
AI summary
The embodiments of present disclosure herein address the need of minimizing web services relocation and user centers reallocation to comply with data residency regulations and change in latency threshold for web services based on user demands. The method and system provide a framework that assists enterprises in migrating web services and user center allocation to different data centers with lower additional operational cost from its current configurations and minimal changes (migrations). In case of change in data regulations and invocation frequency from users demand, non-compliant users are allocated to compliant data centers with minimal changes in the original configuration. Though the key decision is to serve the customers effectively, web services need to be deployed across a finite number of servers, there are multiple sub-problems such as minimizing latency and reduction in operational cost that needs to be addressed.