Host Upgrade Method via Service Group Constraints
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Solution Overview
Problem
Current server upgrade methods in cloud services face inefficiencies due to the need for redundant host configuration and sequential upgrades, which interrupt service continuity and reduce upgrade speed.
Innovation Solution
A host upgrade method that selects target hosts based on service groups or anti-affinity groups, allowing for simultaneous upgrades without migration, by determining the maximum shutdown quantity and maintaining service continuity through load balancing parameters and task scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If live migration technology is used to ensure service continuity during host upgrade, then service continuity is maintained, but upgrade efficiency is reduced due to sequential upgrades and redundant host configuration
Solution Approach 1:
The system segments virtual machines into different service groups with defined maximum shutdown quantities. This allows selective upgrading of hosts based on service group constraints, enabling parallel upgrades across multiple hosts while maintaining required service availability. Instead of upgrading hosts sequentially, multiple hosts can be upgraded simultaneously as long as the shutdown constraints for each service group are satisfied.
Solution Approach 2:
The system dynamically determines upgrade eligibility by evaluating current service group states and maximum shutdown quantities. The upgrade device can adaptively select which hosts to upgrade based on real-time service requirements, allowing flexible parallel upgrading strategies that maintain service continuity while maximizing upgrade throughput.
2Reliability
If redundant host configuration is used to maintain service continuity, then service availability is ensured, but system complexity increases
Solution Approach 1:
Hosts in the system serve multiple functions: they can be actively providing service, standby for failover, or undergoing upgrade simultaneously. The same host pool is used for both service delivery and upgrade operations, eliminating the need for dedicated redundant hosts. The system universally manages all hosts through a unified constraint-based framework that handles service continuity and upgrades without requiring separate redundant infrastructure.
Solution Approach 2:
The system uses parameter-based control through maximum shutdown quantities for each service group. By dynamically adjusting these parameters based on service requirements, the system can flexibly manage host availability without hard-coded redundant configurations. This parameter-driven approach simplifies system complexity by replacing physical redundancy with logical constraint management.
3Reliability
If sequential host upgrades are performed to maintain service continuity, then service interruption is avoided, but upgrade time increases
Solution Approach 1:
The system implements periodic parallel upgrade cycles across multiple hosts. Instead of strictly sequential upgrades, hosts are upgraded in periodic batches that respect service group constraints. Multiple hosts can be upgraded in parallel within each cycle, and multiple cycles can run sequentially, significantly reducing total upgrade time while maintaining service continuity through the maximum shutdown quantity constraints.
Data Source
AI summary
A host upgrade method and a device include selecting at least one target host from a plurality of hosts for an upgrade. After the at least one target host is selected, a service running on all virtual machines that are in one or more target service groups and that are deployed on the at least one target host is stopped, and a service running on a virtual machine that is in the one or more target service groups and that is not deployed on the at least one target host is maintained. Then, the at least one target host is upgraded.