Open AccessSmart grid demand response strategies for datacenters
Author(s) -
Jonathan Muraña,
Sergio Nesmachnow,
Santiago Iturriaga,
Sebastián Montes de,
Gonzalo Belcredi,
Pablo Ariel Monzón-Rangeloff,
Vladimir Dmitrievitch Shepelev,
Andrei Tchernykh
Publication year - 2021
Publication title -
trudy instituta sistemnogo programmirovaniâ ran/trudy instituta sistemnogo programmirovaniâ
Language(s) - English
Resource type - Journals
eISSN - 2220-6426
pISSN - 2079-8156
DOI - 10.15514/ispras-2021-33(2)-7
Subject(s) - demand response , computer science , smart grid , heuristic , incentive , negotiation , electricity , reduction (mathematics) , distributed computing , grid , response time , energy consumption , operations research , artificial intelligence , microeconomics , engineering , economics , geometry , mathematics , computer graphics (images) , law , political science , electrical engineering
This article presents demand response techniques for the participation of datacenters in smart electricity markets under the smart grid paradigm. The proposed approach includes a datacenter model based on empirical information to determine the power consumption of CPU-intensive and memory-intensive tasks. A negotiation approach between the datacenter and clients and a heuristic planning method for energy reduction optimization are proposed. The experimental evaluation is performed over realistic problem instances modeling different types of clients. Results indicate that the proposed approach is effective to provide appropriate demand response actions according to monetary incentives.