Trustworthy Energy-Aware Data Placement for Storage Arrays
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Solution Overview
Problem
Conventional data placement methods lack comprehensive energy consumption data and centralized authority, leading to inefficient and untrustworthy energy-aware data storage decisions in decentralized environments.
Innovation Solution
Implementing a Trustworthy Energy Awareness (TEA) module using machine learning to predict the most energy-efficient storage array based on historical data and user constraints, ensuring data is stored in the most energy-efficient location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional data placement methods are used, then device complexity is reduced, but energy awareness and prediction accuracy deteriorate due to lack of comprehensive energy data
Solution Approach 1:
The patent introduces an energy provider as an intermediary entity that collects, stores, and provides comprehensive energy consumption data to the data placement system. This mediator enables accurate energy-aware data placement without requiring every component to directly monitor and process energy data, thus reducing overall system complexity while improving energy awareness.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and pre-processing energy consumption data from multiple sources before data placement decisions are needed. The energy provider aggregates historical energy data and makes it available for prediction models, enabling accurate energy-aware placement without adding complexity to the real-time decision-making process.
2Adaptability or versatility
If decentralized environments are used, then adaptability is improved, but trustworthiness of energy-aware data placement deteriorates due to lack of central authority
Solution Approach 1:
The energy provider acts as a trusted intermediary in decentralized environments, collecting and verifying energy consumption data from multiple sources including smart meters, utility companies, and sensors. This mediator ensures data accuracy and trustworthiness without requiring a central authority, maintaining both decentralization flexibility and reliable energy-aware data placement.
Solution Approach 2:
The system implements feedback mechanisms where the energy provider continuously monitors and validates energy consumption data, providing verified information back to the data placement system. This feedback loop ensures trustworthiness in decentralized environments by continuously verifying data accuracy and consistency without requiring central authorization.
3Measurement precision
If limited metadata from local servers is used, then device complexity is reduced, but measurement precision of energy consumption deteriorates
Solution Approach 1:
The energy provider serves as an intermediary that aggregates energy consumption data from multiple sources including smart meters, utility companies, and various sensors throughout the network. This mediator significantly improves measurement precision by collecting comprehensive energy data from all sources rather than relying on limited local server metadata, while centralizing the complexity of data collection.
Solution Approach 2:
The energy provider performs multiple functions including data collection, data storage, data processing, and data provision to the data placement system. This multi-functional approach improves measurement precision by consolidating energy consumption information from diverse sources into a unified, accurate dataset without requiring each individual component to handle complex data collection tasks.
Data Source
AI summary
One example method includes receiving, by a TEA (trustworthy energy awareness) module, a request from a storage controller to identify a most energy-efficient storage array, as among a plurality of storage arrays, on which to store a set of data, determining, by the TEA module based on energy efficiency information and user constraints, the most energy efficient storage array, and identifying, by the TEA module to the storage controller, the most energy efficient storage array.