Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/121649
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: Online workload scheduling for green cloud data center with delay guarantee in smart grid
Author: He, H.
Shen, H.
Citation: Proceedings of the 2018 IEEE 17th International Symposium on Network Computing and Applications, 2018
Publisher: IEEE
Issue Date: 2018
ISBN: 9781538676592
Conference Name: IEEE International Symposium on Network Computing and Applications (NCA) (1 Nov 2018 - 3 Nov 2018 : Cambridge, MA, USA)
Statement of
Responsibility: 
Huaiwen He, Hong Shen
Abstract: Many cloud center operators are turning to leverage on-site renewable energy to reduce power cost for sustainable development consideration. But how to effectively coordinate the intermittent renewable energy with the workload remains to be a great challenge. This paper investigates the problem of power cost minimization under the constraints of different SLAs of delay-tolerant workload and non-delay workload for green data center in smart grid. To handle the randomness of workload, electricity price and renewable energy availability, we formulate a constrained stochastic problem with the consideration of the affection of zero price in smart grid. Then we propose a lowcomplexity Online workload Scheduling algorithm with Delay Guarantee (OSDG) which makes online scheduling decision based on the system current state and guarantees a bounded worst scheduling delay for delay-tolerant workload. The rigorous theoretical analysis demonstrates that our algorithm achieves a [O (1/v), O (V)] cost-delay tradeoff. Extensive simulations based on real-world trace are done to evaluate the performance of our algorithm in reality. The results show that OSDG achieves about 4.9% improvement compared with the baseline algorithms.
Rights: © 2018 IEEE
DOI: 10.1109/NCA.2018.8548190
Grant ID: http://purl.org/au-research/grants/arc/DP150104871
Published version: http://dx.doi.org/10.1109/nca.2018.8548190
Appears in Collections:Aurora harvest 8
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.