Automated Peered Cluster Storage Configuration via Multicast Discovery
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Solution Overview
Problem
Manual configuration of peered cluster storage environments is laborious and prone to errors due to complexity, requiring efficient automation to reduce human intervention and errors.
Innovation Solution
A three-phase configuration technique involving discovery, node setup, and cluster setup phases, utilizing multicast advertisement packets over Fibre Channel fabric, where nodes assign roles and relationships automatically, enabling efficient and error-free configuration of disaster recovery groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration is used to set up peered cluster storage environments, then administrators can establish HA pairs and DR pairs with proper node relationships, but the configuration process becomes laborious and error-prone due to complexity
Solution Approach 1:
The system enables nodes to automatically discover each other and self-configure their relationships. Nodes autonomously determine their roles (HA primary/secondary, DR primary/secondary) based on discovered node identities, eliminating the need for manual administrator configuration while ensuring correct relationship establishment.
Solution Approach 2:
The configuration system uses feedback mechanisms where nodes advertise their presence and properties, receive discovery information from other nodes, and continuously update their configuration state. This feedback loop ensures that nodes correctly identify their relationships and roles through iterative discovery and verification processes.
2Extent of automation
If automatic configuration is implemented using multicast advertisement packets, then node discovery and role assignment become automated reducing human intervention, but the system complexity increases due to multicast protocols and automatic role assignment logic
Solution Approach 1:
The multicast advertisement mechanism serves multiple functions simultaneously: node discovery, role identification, relationship establishment, and configuration verification. This multi-functional approach consolidates what would otherwise require separate complex procedures into a single universal discovery protocol.
Solution Approach 2:
The system automatically determines node roles and relationships by evaluating parameters from multicast advertisements (node identifiers, cluster affiliations, existing role assignments). Nodes dynamically adjust their configuration parameters based on discovered information, automatically resolving their HA and DR relationships without manual intervention.
3Loss of time
If nodes discover and assign relationships automatically through multicast packets, then configuration time is reduced and errors are minimized, but network traffic increases due to multicast advertisement packets
Solution Approach 1:
Nodes perform discovery and relationship assignment during the initial configuration phase before full operational load. The multicast advertisements are sent primarily during this setup period to establish relationships, after which the configured nodes operate with minimal additional traffic, thus minimizing overall network impact while achieving rapid configuration.
Data Source
AI summary
A technique efficiently configures a peered cluster storage environment. The configuration technique illustratively includes three phases: a discovery phase, a node setup phase and a cluster setup phase. The discovery phase may be employed to initiate discovery of nodes of a disaster recovery (DR) group through transmission of multicast advertisement packets by the nodes over interconnects, including a Fiber Channel (FC) fabric, to each other node of the group. In the node setup phase, each node of a cluster assigns its relationships to the nodes discovered and present in the FC fabric; illustratively, the assigned relationships include high availability (HA) partner, DR primary partner and DR auxiliary partner. In the cluster setup phase, the discovered nodes of the FC fabric are organized as the peered cluster storage environment (DR group) configured to service data in a highly reliable and available manner.