Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Wuyi Yue"'
Publikováno v:
Annals of Operations Research. 293:193-212
The massive amount of energy consumed by cloud data centers is detrimentally impacting on the environments. As such, to work towards “greener” computing, in this paper, we propose a clustered virtual machine (VM) allocation strategy based on a sl
Publikováno v:
Journal of Systems Science and Systems Engineering. 28:194-210
With the rapid growth of energy costs and the constant promotion of environmental standards, energy consumption has become a significant expenditure for the operating and maintaining of a cloud data center. To improve the energy efficiency of cloud d
Publikováno v:
Annals of Operations Research. 277:371-391
Cognitive radio networks (CRNs) have been emerged as a solution for realizing dynamic spectrum allocation. Green communication in CRNs will contribute to reducing emission pollution, minimizing operation cost and decreasing energy consumption. The Gr
Autor:
Shunfu Jin, Wuyi Yue
Publikováno v:
Resource Management and Performance Analysis of Wireless Communication Networks ISBN: 9789811577550
As an enhancement of IEEE 802.16e, IEEE 802.16m can save more energy. Considering the digital nature of the networks and regarding the initial sleep window as one half of the subsequent sleep window, in this chapter, we build a discrete-time queueing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce909e2306a9b75c3fce2f8d2e5a0487
https://doi.org/10.1007/978-981-15-7756-7_5
https://doi.org/10.1007/978-981-15-7756-7_5
Autor:
Wuyi Yue, Shunfu Jin
Publikováno v:
Resource Management and Performance Analysis of Wireless Communication Networks ISBN: 9789811577550
We consider the sleep mode with multimedia applications in WiMAX 2 networks, where the real-time traffic includes the real-time and the Best Effort (BE) traffic mixed. In this chapter, we build a queueing model with multiple heterogeneous vacations t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9db0a83cc89f0c47a7418848747186
https://doi.org/10.1007/978-981-15-7756-7_6
https://doi.org/10.1007/978-981-15-7756-7_6
Autor:
Shunfu Jin, Wuyi Yue
Publikováno v:
Resource Management and Performance Analysis of Wireless Communication Networks ISBN: 9789811577550
Considering the property of self-similar traffic shown widely in the networks with multimedia transmission, in this chapter, we present a method to analyze the performance of the enhanced power saving class type III with self-similar traffic. Accordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd39cfc4e913b0681dcf2f822a9868e9
https://doi.org/10.1007/978-981-15-7756-7_2
https://doi.org/10.1007/978-981-15-7756-7_2
Autor:
Shunfu Jin, Wuyi Yue
Publikováno v:
Resource Management and Performance Analysis of Wireless Communication Networks ISBN: 9789811577550
In this chapter, we propose a Virtual Machine (VM) scheduling strategy with a speed switch and a multiple-sleep mode to improve the energy efficiency of cloud data centers. In accordance with the current traffic loads, a proportion of VMs operate at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30d979f583c28982194e8be0a53082b
https://doi.org/10.1007/978-981-15-7756-7_16
https://doi.org/10.1007/978-981-15-7756-7_16
Publikováno v:
Journal of Industrial and Management Optimization. 18:3133
Energy consumption is becoming a significant part of overall operational cost in cloud data centers. For the purpose of satisfying the Service Level Agreement (SLA) of cloud users while enhancing the energy efficiency in cloud computing systems, in t
Publikováno v:
Queueing Theory and Network Applications ISBN: 9783030271800
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QTNA
For the purpose of satisfying the service level agreement of cloud users while at the same time reducing the energy consumption in cloud computing, we analyze the system performance of an energy-saving mechanism with a synchronous sleep mode. Conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::817d9cd77259f0474354872c623b0e2c
https://doi.org/10.1007/978-3-030-27181-7_22
https://doi.org/10.1007/978-3-030-27181-7_22
Publikováno v:
Queueing Theory and Network Applications ISBN: 9783319937359
QTNA
QTNA
In an effort to improve the energy efficiency of cloud data centers, in this paper, we propose a clustered Virtual Machine (VM) allocation strategy based on an N-threshold sleep-mode in which all the VMs in a cloud data center are clustered into two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db8a68f5242ee9e55c64193055a085d
https://doi.org/10.1007/978-3-319-93736-6_9
https://doi.org/10.1007/978-3-319-93736-6_9