Robustness Analysis Framework for High-Performance Data Centers based on Immune Genetic Algorithm
| Autor: | Xiaodong Mai |
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| Rok vydání: | 2020 |
| Předmět: |
Transmission channel
Computer science business.industry Distributed computing 020207 software engineering 02 engineering and technology Immune genetic algorithm Active data File server Robustness (computer science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data center Additive model business Block (data storage) |
| Zdroj: | 2020 International Conference on Inventive Computation Technologies (ICICT). |
| Popis: | Robustness analysis framework for the high-performance data centers based on immune genetic algorithm is implemented in this paper. The server equipment of the data center mainly includes the general computing server and the storage server. At present, the most widely used core energy consumption model of server equipment in data center is mainly additive model and system utilization model. We propose the 2 primary novelties. (1) Extend the constant number of data block copies of the quantum-aware storage strategy to a flexible and variable data block storage strategy under the premise of ensuring the availability of data blocks. (2) For files with high access frequency, the frequent reading of multiple demand ends of a single active data block will cause congestion of transmission channels and reduce the accuracy of basic data reading. The simulation has proven the model’s robustness. |
| Databáze: | OpenAIRE |
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