An Optimal Task Placement Strategy in Geo-Distributed Data Centers Involving Renewable Energy
Nowadays, modern data centers are seeking for importing renewable energy together with conventional energy in order to be more environment-friendly and to reduce operation expenditures. Meanwhile, considering the fact that electricity prices and renewable energy generations are diverse in time and g...
Main Authors: | Ran Wang, Yiwen Lu, Kun Zhu, Jie Hao, Ping Wang, Yue Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8493571/ |
Similar Items
-
Energy-Aware Task Scheduling on Heterogeneous Computing Systems With Time Constraint
by: Zexi Deng, et al.
Published: (2020-01-01) -
Resource-Aware Task Scheduling and Placement in Multi-FPGA System
by: Zichang Sun, et al.
Published: (2019-01-01) -
Energy efficient scheduling of parallel real-time tasks on heterogeneous multicore systems
by: Zahaf, Houssam-Eddine
Published: (2016) -
Feedback-Based Admission Control for Firm Real-Time Task Allocation with Dynamic Voltage and Frequency Scaling
by: Piotr Dziurzanski, et al.
Published: (2018-04-01) -
Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models
by: Muhammad Yousaf Khan, et al.
Published: (2020-01-01)