Resource Placement Manager for Data Center Energy Optimization
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Solution Overview
Problem
The increasing complexity of managing energy usage in distributed data centers, where tasks assigned without consideration of environmental or energy impact lead to increased energy consumption, resulting in both environmental unfriendliness and higher operational costs.
Innovation Solution
Implementing a resource placement manager that models environmental conditions at data centers, allowing for the selection of optimal data center locations and execution times to reduce energy usage by considering temperature data and electrical/mechanical infrastructure efficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If tasks are assigned without consideration of environmental or energy impact, then resource provisioning and management become simpler, but energy consumption increases
Solution Approach 1:
The system enables self-service by allowing the data center infrastructure to automatically monitor its own environmental conditions (temperature, humidity) and energy consumption patterns. The placement manager uses this self-collected data to make autonomous decisions about task placement, eliminating the need for external manual optimization while reducing energy consumption through intelligent scheduling.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring environmental conditions and energy consumption at data centers, then using this feedback information to dynamically adjust task placement decisions. The placement manager receives real-time data about temperature and energy usage, and adjusts resource allocation accordingly to minimize overall energy consumption while maintaining operational simplicity.
2Loss of energy
If optimal data center locations are selected based on environmental conditions, then energy usage is reduced, but the complexity of resource placement increases
Solution Approach 1:
The placement manager acts as an intermediary layer between task submission and physical resource allocation. It receives task requirements, consults environmental condition data and energy consumption patterns from various data centers, and automatically determines optimal placement locations. This intermediary function reduces energy usage through intelligent scheduling while abstracting the complexity from users, as they simply submit tasks without needing to understand the complex optimization processes.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and analyzing environmental condition data (temperature, humidity) and energy consumption patterns from multiple data centers before tasks are submitted. The placement manager maintains updated models of data center conditions in advance, enabling rapid optimal placement decisions when tasks arrive, thereby reducing energy usage without adding operational complexity during task execution.
3Ease of operation
If cooling and heating infrastructure burden is minimized through strategic resource placement, then operational costs are reduced, but the complexity of monitoring environmental conditions increases
Solution Approach 1:
The placement manager serves multiple functions simultaneously: it monitors environmental conditions, tracks energy consumption patterns, optimizes task placement decisions, and provides a unified interface for resource management. By consolidating these diverse functions into a single multi-functional system, the patent reduces operational costs through optimized resource placement while avoiding the need for separate complex monitoring, optimization, and management systems.
Data Source
AI summary
Methods, systems, and computer-readable media for energy-optimizing placement of resources in data centers are disclosed. A resource placement manager determines information descriptive of energy usage by one or more data centers. The one or more data centers comprise a plurality of computing resources in a plurality of corresponding locations. The resource placement manager selects, from the plurality of computing resources in the plurality of corresponding locations, a particular computing resource in a particular location for performing one or more computing tasks. The particular computing resource in the particular location is selected based at least in part on reducing energy usage associated with the one or more data centers according to the information descriptive of energy usage. The particular computing resource in the particular location is used to perform the one or more computing tasks.