Dynamic Virtual Server Migration for Latency Reduction
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Solution Overview
Problem
Data processing networks with geographically distributed data centers face inefficiencies due to load variations, leading to high latencies and decreased performance, especially in medical applications, as virtual servers are permanently allocated and load profiles fluctuate with seasonal changes and organizational activities.
Innovation Solution
A method and device that collect access data on client interactions with virtual servers, analyzing geographical locations and utilization levels to create a migration plan that optimally redistributes virtual servers between data centers, reducing latency by migrating overloaded servers to underutilized centers and ensuring data is locally stored and moved with the servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If virtual servers are permanently allocated to specific data centers, then resource management is simplified, but latency increases during load variations and seasonal changes
Solution Approach 1:
The patent implements dynamic allocation of virtual servers between data centers based on real-time load conditions and geographical proximity to clients. The system continuously monitors utilization levels and automatically migrates virtual servers from overloaded data centers to underutilized ones, transforming the static allocation model into a dynamic one that adapts to changing demands and minimizes latency without significantly increasing management complexity.
2Loss of time
If virtual servers are migrated between data centers to balance load, then latency is reduced, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically monitors its own load conditions, identifies migration opportunities, and executes virtual server migrations without external intervention. The automated monitoring and migration framework reduces manual operational complexity while achieving latency reduction through intelligent, self-managed resource redistribution across data centers.
3Speed
If data is stored locally at each data center, then data access speed improves, but data consistency across centers becomes challenging
Solution Approach 1:
The patent introduces a coordination mechanism that acts as an intermediary between distributed data centers to maintain data consistency. This mediator manages the migration of virtual servers and their associated data, ensuring that when virtual servers move between data centers, their data is properly transferred and synchronized, thereby maintaining consistency across the distributed system while preserving local data access speed benefits.
Data Source
AI summary
A method and a device are disclosed for operating a data processing network which includes a plurality of geographically spaced-apart data centers and a large number of client computers, data being transmittable between each of the client computers and at least to one of the data centers, wherein one or more virtual servers is operateable in each of the data centers. According to at least one embodiment, access data is collected including information on geographical location of the client, geographical location of the virtual servers and the degree of utilization of the virtual servers. The access data collected is analyzed and, using the result of analysis, a migration plan, which is improved with respect to the mean latency, is created for the deployment of the virtual servers among the data centers. The virtual servers are migrated between the data centers in accordance with the migration plan.