A Scalable Two-Step Approach to Optimize Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing

Kazuki Okazawa; Hiroki Nishikawa; Dafang Zhao; Ittetsu Taniguchi; Takao Onoye; Marcos de Melo da Silva; Abdoulaye Gamatié

A Scalable Two-Step Approach to Optimize Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing

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A Scalable Two-Step Approach to Optimize Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing

Kazuki Okazawa, Hiroki Nishikawa, Dafang Zhao, Ittetsu Taniguchi, Takao Onoye, Marcos de Melo da Silva and Abdoulaye Gamatié

DAC 2025 - Design Automation Conference (Moscone West, San Francisco, United States, 22/06/2025–25/06/2025)

Abstract

Optimization technique

Data center

Energy efficiency

This poster presents an approach that combines fast VM migration algorithm with linear programming for energy allocation in computing systems. This approach significantly contributes to reducing computational time while supporting scalable and sustainable cloud operations.

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Title: A Scalable Two-Step Approach to Optimize Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing
Creators - without role: Kazuki Okazawa - The University of Osaka
Hiroki Nishikawa - The University of Osaka
Dafang Zhao - The University of Osaka
Ittetsu Taniguchi - The University of Osaka
Takao Onoye - The University of Osaka
Marcos de Melo da Silva - DecisionBrain S.A.S.
Abdoulaye Gamatié - ADAptive Computing
Conference: DAC 2025 - Design Automation Conference (Moscone West, San Francisco, United States, 22/06/2025–25/06/2025)
Identifiers: 9979362709311
Academic Unit: Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Language: English
Resource Type: Conference poster
Local Fields: lirmm-05223032