Prioritized Data Center Restoration Sequence
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Solution Overview
Problem
Existing data center restoration methods lack efficiency in prioritizing and restoring virtualized workloads, infrastructure, data, and virtualization layers in a coordinated manner, leading to prolonged downtime and resource inefficiencies.
Innovation Solution
A system and method that determine associations between virtualized workloads and datastores, prioritize the restoration of virtualized workloads, and perform a rolling restoration of infrastructure, data, virtualization layers, and workloads in a coordinated sequence based on established orderings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data center restoration methods are used, then restoration can be performed, but downtime is prolonged and resource efficiency is reduced
Solution Approach 1:
The system performs preliminary actions by determining associations between virtualized workloads and datastores before restoration begins, and by preparing a coordinated restoration sequence that prioritizes critical workloads. This advance preparation enables faster restoration execution and reduces downtime.
Solution Approach 2:
The restoration process is segmented into distinct phases: infrastructure restoration, data restoration, virtualization layer restoration, and workload restoration. Each phase can be executed in parallel or sequential order based on priorities, improving overall restoration efficiency and reducing total downtime.
2Productivity
If virtualized workloads are restored without coordinated prioritization, then restoration can proceed, but resource efficiency is reduced and critical services may be delayed
Solution Approach 1:
The system uses feedback mechanisms to determine associations between virtualized workloads and datastores, and to identify restoration priorities based on service criticality. This feedback-driven approach enables automated coordinated restoration without manual intervention, improving both efficiency and ease of operation.
Data Source
AI summary
A system can determine to restore a datacenter that comprises a group of virtualized workloads. The system can determine respective associations between respective virtualized workloads and respective datastores. The system can determine to restore a first virtualized workload of the group of virtualized workloads first. The system can restore a first portion of infrastructure that corresponds to the first virtualized workload first among a group of infrastructure. The system can, after restoring the first portion of infrastructure, restore a first portion of data that corresponds to the first virtualized workload first among a group of data. The system can, after restoring the first portion of data, restore a first portion of a virtualization layer that corresponds to the first virtualized workload first among a group of virtualization layers. The system can, after restoring the first portion of the virtualization layer, restore the first virtualized workload.