Journal of System Simulation
Abstract
Abstract: Using renewable energy in data center is an environment-friendly way to solve the problem of high energy consumption of data center. Since renewable energy is variable, delaying the jobs which has no strict deadline i a widely used strategy to maximize the usage of renewable energy. Meanwhile, turning the idle servers off can further reduce energy consumption. If the data required by the jobs to be processed are unavailable, some servers in sleep state need to be reactivated to guarantee that the data required by the jobs are available. Such operation may lead to energy waste due to the frequent reactive processes. An effective data management algorithm was proposed, which copied the data required by the jobs in waiting queue to active servers in advance. By doing so, the times that the sleep servers were reactivated could be reduced. Simulation results show that the times can be reduced by 43% on average.
Recommended Citation
Xiao, Zhang; Yuan, Gao; Wang, Xiaoliang; Ge, Yiyong; Yang, Haixiang; and Wan, Shupeng
(2020)
"Data Management of Data Processing Framework in Green Data Center,"
Journal of System Simulation: Vol. 28:
Iss.
3, Article 12.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/12
First Page
592
Revised Date
2014-10-24
DOI Link
https://doi.org/
Last Page
599
CLC
TP391.9
Recommended Citation
Zhang Xiao, Gao Yuan, Wang Xiaoliang, Ge Yiyong, Yang Haixiang, Wan Shupeng. Data Management of Data Processing Framework in Green Data Center[J]. Journal of System Simulation, 2016, 28(3): 592-599.
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