When examining nested RAID configurations, RAID 1+6 demonstrates compelling reliability advantages. For a 16-drive array with 1TB drives, the cumulative probabilities of data loss (per mill) tell a clear story:
RAID 1+0: 0, 67, 200, 385, 590, 776, 910, 980, 1000 RAID 1+5: 0, 0, 0, 15, 77, 217, 441, 702, 910 RAID 1+6: 0, 0, 0, 0, 0, 7, 49, 179, 441
While RAID 1+6 sacrifices 25% storage capacity compared to RAID 1+0 (6TB vs 8TB in 16-drive setup), its theoretical performance metrics remain competitive:
// Pseudo-code for throughput calculation function calculateThroughput(raidType, driveCount) { const singleDriveSpeed = 200; // MB/s let writeFactor, readFactor; switch(raidType) { case 'RAID1+0': writeFactor = driveCount/2; readFactor = driveCount; break; case 'RAID1+6': writeFactor = (driveCount - 2); readFactor = driveCount; break; } return { write: writeFactor * singleDriveSpeed, read: readFactor * singleDriveSpeed }; }
During maintenance operations where drives are removed for backups, RAID 1+6 maintains superior reliability compared to triple-mirrored RAID 1+0:
# Python simulation of degraded state probabilities import math def combination(n, k): return math.factorial(n) // (math.factorial(k) * math.factorial(n-k)) def raid_failure_probability(drives, redundancy): total = 0 for failures in range(redundancy + 1, drives + 1): total += combination(drives, failures) * (0.001)**failures return total * 1000 # Convert to milli print(f"RAID1+0 degraded: {raid_failure_probability(8, 2):.1f}‰") print(f"RAID1+6 degraded: {raid_failure_probability(6, 2):.1f}‰")
The technical hurdles preventing widespread RAID 1+6 adoption include:
- Complexity in controller firmware implementation
- Higher write amplification compared to RAID 10
- Limited support in common storage management tools
- Rebuild times for multiple simultaneous failures
As drive capacities continue to outpace reliability improvements, nested RAID configurations like 1+6 may gain traction. The ability to maintain multiple degraded states while preserving data integrity makes it particularly attractive for:
- Large-scale archival systems
- High-availability financial systems
- Medical imaging storage
- Scientific data repositories
When analyzing nested RAID configurations with 16x1TB drives, RAID 1+6 demonstrates exceptional fault tolerance with only 25% storage overhead compared to RAID 10's 50%. Here's the probability breakdown for data loss scenarios (per milli):
// RAID failure probability comparison
const raid10 = [0, 67, 200, 385, 590, 776, 910, 980, 1000];
const raid15 = [0, 0, 0, 15, 77, 217, 441, 702, 910, 1000];
const raid16 = [0, 0, 0, 0, 0, 7, 49, 179, 441, 776, 1000];
The theoretical throughput equations reveal why RAID 1+6 isn't universally adopted:
// Throughput calculation pseudocode
function calculateThroughput(raidType, driveCount, slowestDriveSpeed) {
let writeMultiplier, readMultiplier;
switch(raidType) {
case '1+0':
writeMultiplier = driveCount/2;
readMultiplier = driveCount;
break;
case '1+6':
writeMultiplier = (driveCount/2) - 2;
readMultiplier = driveCount;
break;
}
return {
write: writeMultiplier * slowestDriveSpeed,
read: readMultiplier * slowestDriveSpeed
};
}
While RAID 1+6 offers better protection during normal operation, its rebuild characteristics create operational challenges:
- RAID 10 rebuilds involve simple mirror copies (1:1 data transfer)
- RAID 1+6 requires parity recalculations across multiple drives
- During rebuilds, RAID 1+6 performs 6-8× more I/O operations than RAID 10
Most hardware RAID controllers optimize for either mirroring or parity schemes, not both. Here's a Linux mdadm configuration example showing the complexity:
# RAID 1+6 implementation steps
# Step 1: Create mirrored pairs
mdadm --create /dev/md0 --level=1 --raid-devices=2 /dev/sda1 /dev/sdb1
mdadm --create /dev/md1 --level=1 --raid-devices=2 /dev/sdc1 /dev/sdd1
[... repeat for all pairs ...]
# Step 2: Combine into RAID6
mdadm --create /dev/md10 --level=6 --raid-devices=8 \\
/dev/md0 /dev/md1 /dev/md2 /dev/md3 /dev/md4 /dev/md5 /dev/md6 /dev/md7
Emerging technologies might make RAID 1+6 more practical:
- Zoned Namespace (ZNS) SSDs reducing rebuild impact
- Computational storage offloading parity calculations
- Machine learning predicting drive failures
The storage industry continues evolving, and RAID 1+6 may find niche applications where its reliability advantages outweigh the performance tradeoffs.