Dynamic Storage Configuration for Predictive Demand

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Solution Overview

Problem

Current storage configuration methods lead to over-provisioning, resulting in wasted resources and unpredictable budget planning due to unpredictable fluctuations in storage system usage, as existing solutions do not effectively allocate just-enough resources for future demands.

Innovation Solution

A system comprising a monitoring module, storage recording module, traffic modeling module, rule-based decision module, and storage management module that collects performance and utilization values, forecasts future data access traffic, and adjusts storage configuration accordingly, providing a procurement plan and warning signals when capacity is exceeded.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If storage resources are over-provisioned to handle unpredictable peaks, then system reliability is improved, but resource waste and cost increase

Engineering Contradiction:

Improvesystem reliabilityVSAvoidresource waste

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The patent implements dynamic storage configuration that automatically adjusts resource allocation based on real-time workload monitoring and predictive analytics. The system transitions from static over-provisioning to dynamic adaptation, where storage capacity is scaled up or down according to actual demand patterns, thereby maintaining reliability while eliminating waste from permanent over-provisioning

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs preliminary actions by predicting future storage demands using machine learning models and traffic patterns analysis. By forecasting peak periods in advance, the system can proactively allocate resources before peaks occur, ensuring reliability is maintained without needing permanent over-provisioning for all possible scenarios

Inventive Principle:

Principle #10Preliminary action

2Stability of the object's composition

If storage resources are dedicated to specific workloads, then performance stability is improved, but adaptability to future demands deteriorates

Engineering Contradiction:

Improveperformance stabilityVSAvoidadaptability to future demands

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal storage pool that can serve multiple workloads dynamically. Instead of dedicating resources to single workloads, the system implements multi-functional storage capacity that can be allocated to different workloads based on their current needs, thereby maintaining performance stability for each workload while providing adaptability to future demand changes

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements self-service mechanisms where storage resources automatically adjust their allocation based on workload requirements. The predictive analytics and automated provisioning enable the storage system to serve itself, reallocating capacity between workloads without manual intervention, thus maintaining stability while adapting to changing demands

Inventive Principle:

Principle #25Self-service

3Quantity of substance

If conservative storage procurement is used, then budget control is improved, but ability to meet future demands deteriorates

Engineering Contradiction:

Improvestorage capacityVSAvoidability to meet future demands

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent implements continuous feedback loops that monitor actual storage utilization, performance metrics, and workload patterns. This feedback drives automated decisions about resource allocation and procurement timing, allowing the system to maintain conservative current capacity while reliably meeting future demands through predictive scaling and just-in-time resource provisioning

Inventive Principle:

Principle #23Feedback

4Adaptability or versatility

If more storage resources are allocated, then future demand satisfaction is improved, but current resource waste increases

Engineering Contradiction:

Improvefuture demand satisfactionVSAvoidcurrent resource waste

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system implements periodic action by scheduling storage resource allocation in cycles aligned with predicted demand patterns. Rather than permanently allocating resources, the system periodically adjusts capacity based on forecasted peaks and valleys in usage, thereby satisfying future demands when needed while avoiding continuous resource waste during low-utilization periods

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS10067704B2Method for optimizing storage configuration for future demand and system thereof

Publication Date: 2018.09.04 PROPHETSTOR DATA SERVICES

AI summary

A method for optimizing storage configuration for future demand and a system applying the method are disclosed. The system includes a monitoring module, a storage recording module, a traffic modeling module, a rule-based decision module, and a storage management module. With performance values and utilization values provided from the monitoring module, a traffic status of data access in a particular time in the future can be generated. Then, a storage configuration with the workload requirement according to some rules can be available. The storage configuration is implemented to fulfill the requirement of the traffic status of data access.