Network Management Apparatus Energy Allocation
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Solution Overview
Problem
Existing network management systems for packet relay apparatuses face challenges in efficiently managing energy consumption, leading to potential power wastage and performance drops due to indiscriminate energy allocation, as they lack the ability to dynamically adjust energy distribution based on real-time traffic volume and CPU usage.
Innovation Solution
A network management apparatus that utilizes an energy saving level management table, calculation unit, and setting unit to optimize energy allocation among packet relay apparatuses by defining energy saving levels and adjusting them based on CPU usage ratios and minimum guarantee levels, allowing for flexible and efficient energy distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If energy saving function is diversified to delicately control each function, then energy control precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple diversified energy saving functions (CPU frequency adjustment, module power supply control, cooling fan speed regulation, PoE power management) under a unified management framework. The network management apparatus integrates control of these various functions into a single system that can delicately control energy consumption without requiring separate complex control mechanisms for each function.
Solution Approach 2:
The network management apparatus is designed with multi-functionality to manage diverse energy saving operations across different packet relay apparatuses. It can simultaneously perform schedule-based control, real-time traffic-based adjustment, and individual apparatus optimization, making a single system capable of handling multiple energy management tasks.
2Ease of operation
If schedule function is used to automatically operate network management apparatus, then operation load of packet relay apparatuses is reduced, but energy allocation accuracy deteriorates
Solution Approach 1:
The network management apparatus uses schedule functions to perform preliminary energy saving actions at predetermined times. It automatically adjusts energy consumption based on pre-set schedules for different time zones, performing energy management actions in advance without requiring real-time manual intervention, thus reducing operational load while maintaining reasonable energy allocation.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor actual traffic volumes and energy consumption patterns. Based on this feedback, the network management apparatus dynamically adjusts energy allocation decisions, refining its energy distribution accuracy over time while maintaining automatic operation and low operational load.
3Reliability
If energy is indiscriminately raised in accordance with schedule, then availability is improved, but energy wastage increases
Solution Approach 1:
The energy management system transitions from static schedule-based energy allocation to dynamic adjustment based on real-time traffic conditions. The network management apparatus continuously monitors traffic volumes and automatically adjusts energy consumption levels, raising energy supply only when actually needed and reducing it during low-traffic periods, thereby maintaining availability while preventing energy wastage.
Solution Approach 2:
The system changes operational parameters (CPU frequency, power supply levels, fan speed) based on actual traffic conditions rather than fixed schedules. By dynamically adjusting these parameters according to real-time network load, the system ensures adequate energy supply for availability while avoiding unnecessary energy consumption during low-traffic periods.
4Loss of energy
If energy is indiscriminately lowered in accordance with schedule, then energy saving is improved, but transfer performance drops
Solution Approach 1:
The system dynamically adjusts energy consumption levels based on real-time traffic monitoring. When traffic volume increases, the network management apparatus automatically raises energy supply to maintain transfer performance. When traffic is low, it reduces energy consumption to achieve savings. This dynamic adaptation ensures energy saving without sacrificing performance during critical periods.
Solution Approach 2:
The feedback mechanism monitors transfer performance and traffic conditions continuously. When performance degradation is detected or traffic volume increases, the system adjusts energy allocation upward to maintain service quality. This feedback-driven approach ensures that energy saving measures do not negatively impact transfer performance when needed.
Data Source
AI summary
A network management/apparatus connected to a plurality of packet relay apparatuses constituting a group through a network includes an energy saving level calculation unit for calculating an energy saving level of each of the packet relay apparatuses on the basis of a CPU usage ratio of the packet relay apparatus managed or a difference between the present energy saving level and the energy saving level of minimum guarantee of the packet relay apparatus, and an energy saving function setting unit for setting an energy saving function of the packet relay apparatuses on the basis of the energy saving level calculated by the energy saving level calculation unit.