TCO-Based SSD Workload Allocation Manager
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Solution Overview
Problem
Existing WAF models for SSDs do not consider workload sequentiality, leading to increased write amplification and shortened device lifetime, which affects the total cost of ownership (TCO) of datacenters.
Innovation Solution
A TCO model that estimates the cost of allocating workloads to SSDs based on factors including lifetime, sequentiality of workloads, and write wearout, allowing for the selection of disks that minimize TCO, independent of write amplification factor (WAF) models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing WAF models are used for SSD allocation, then allocation simplicity is maintained, but write amplification increases and device lifetime shortens
Solution Approach 1:
The patent changes the parameters considered in allocation models from traditional WAF-only factors to a comprehensive TCO model that includes workload sequentiality, write amplification, power consumption, and device lifetime. This parameter expansion enables more informed allocation decisions that extend SSD lifetime while maintaining manageable complexity through systematic evaluation frameworks.
Solution Approach 2:
The patent performs preliminary estimation of TCO metrics for multiple candidate SSDs before making allocation decisions. By pre-calculating write amplification factors, power consumption estimates, and projected lifetime impacts for each candidate device, the system identifies optimal allocations that minimize total cost of ownership before workloads are assigned, preventing premature device failure.
2Productivity
If workload sequentiality is not considered in allocation, then allocation processing speed is maintained, but write amplification increases
Solution Approach 1:
The patent applies partial action by selectively considering workload sequentiality characteristics only for allocation decisions where they significantly impact write amplification. Rather than performing exhaustive sequentiality analysis for all workloads, the system focuses computational effort on identifying allocation patterns that would otherwise cause excessive write amplification, thus reducing harmful effects without sacrificing overall allocation throughput.
3Duration of action of stationary object
If TCO model is used for workload allocation, then SSD lifespan is extended, but allocation complexity increases
Solution Approach 1:
The patent segments the TCO evaluation into distinct computational modules: workload characteristic analysis, write amplification estimation, power consumption calculation, and lifetime projection. Each module handles a specific aspect of TCO evaluation independently, allowing the system to manage complexity through modular design while comprehensively assessing total cost of ownership to extend SSD lifespan.
Solution Approach 2:
The patent implements feedback mechanisms where allocation decisions are continuously refined based on monitored TCO metrics. The system tracks actual write amplification, power consumption, and device performance over time, using this feedback to adjust future allocation decisions and optimize SSD lifespan while managing operational complexity through adaptive learning.
Data Source
AI summary
A method for allocating workloads based on a total cost of ownership (TCO) model includes receiving a workload; estimating a cost for allocating the workload to each disk of disks in a disk pool based on a TCO model; determining a disk among the disks in the disk pool that minimizes a TCO; and allocating the workload to the disk. The TCO model incorporates a plurality of cost factors for estimating costs for each disk in the disk pool for allocating the workload.