Grid Computing Management Device Renewable Energy Rate Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional grid computing management systems do not consider the rate of renewable energy in the electric power consumption of vehicles participating in grid computing, limiting the utilization of renewable energy.
Innovation Solution
A management device and method that track and utilize renewable energy-derived electric power by storing renewable energy rate information, accepting job data, assigning computing devices, distributing job data, receiving computational results, and transmitting overall renewable energy rate information to inform operators about renewable energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional grid computing management systems are used, then computing resources can be allocated based on processing capacity, but renewable energy usage rate is not considered
Solution Approach 1:
The management server performs preliminary actions by acquiring renewable energy rate information from computing devices before job assignment processing. This pre-acquisition of energy rate data enables the system to consider renewable energy usage in subsequent job allocation decisions, resolving the contradiction by preparing necessary information in advance without adding complexity to the core management functions.
Solution Approach 2:
The management server acts as an intermediary between computing devices and job data, acquiring renewable energy rate information from computing devices and using it in job assignment decisions. This intermediary role allows the system to integrate renewable energy considerations into existing grid computing management without requiring direct modifications to computing devices or job processing systems.
2Loss of information
If renewable energy rate information is tracked and transmitted, then operator awareness of renewable energy usage is improved, but information transmission overhead increases
Solution Approach 1:
The management server extracts only the essential renewable energy rate information from the computing devices and transmits this condensed information to the client server. By taking out only the necessary energy rate data rather than transmitting complete device status information, the system reduces information transmission overhead while maintaining operator awareness of renewable energy usage.
Solution Approach 2:
The management server creates a simplified copy of renewable energy rate information and transmits this copied data to the client server. This copying approach allows the system to transmit only the essential energy rate information needed for operator awareness, rather than transmitting complete device operational data, thereby reducing information transmission volume.
3Productivity
If job assignment considers computational amount and renewable energy rate, then renewable energy utilization is improved, but job assignment complexity increases
Solution Approach 1:
The management server performs partial job assignment processing by considering both computational amount and renewable energy rate, but only to the extent necessary for effective renewable energy utilization. The system applies this partial consideration approach by integrating energy rates into job assignment decisions without requiring complete optimization across all possible parameters, thereby improving renewable energy utilization while controlling processing complexity.
Solution Approach 2:
The management server changes the parameter consideration in job assignment processing by incorporating renewable energy rate as an additional criterion alongside computational amount. This parameter change approach allows the system to improve renewable energy utilization by adjusting job assignment decisions to favor devices with higher renewable energy rates, while managing complexity through structured integration of the new parameter into existing assignment logic.
Data Source
AI summary
Grid computing processing is managed considering rate of amount of renewable energy-derived electric power in amount of electric power used for computation by computing device of vehicles, thereby contributing to utilization of renewable energy. Management server manages grid computing processing of causing computing devices mounted on a plurality of vehicles to process job data provided from client server. Controller of the management server acquires overall renewable energy rate information indicative of the rate of the amount of renewable energy-derived electric power in the amount of electric power consumption used for computation of the job data by all computing devices assigned to the job data, based on the amount of computations for a part of the job data to be processed by each of the computing devices and renewable energy rate information of each of the computing devices, and transmits the overall renewable energy rate information to the client server.