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Combined cloud: a mixture of voluntary cloud and reserved instance marketplace

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Combined cloud: a mixture of voluntary cloud and reserved instance marketplace. / Shen, Wei; Dou, Wan-chun; Wu, Fan et al.
In: Journal of Computer Science and Technology, Vol. 31, No. 6, 05.11.2016, p. 1110-1123.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Shen, W, Dou, W, Wu, F, Tang, S & Ni, Q 2016, 'Combined cloud: a mixture of voluntary cloud and reserved instance marketplace', Journal of Computer Science and Technology, vol. 31, no. 6, pp. 1110-1123. https://doi.org/10.1007/s11390-016-1686-7

APA

Shen, W., Dou, W., Wu, F., Tang, S., & Ni, Q. (2016). Combined cloud: a mixture of voluntary cloud and reserved instance marketplace. Journal of Computer Science and Technology, 31(6), 1110-1123. https://doi.org/10.1007/s11390-016-1686-7

Vancouver

Shen W, Dou W, Wu F, Tang S, Ni Q. Combined cloud: a mixture of voluntary cloud and reserved instance marketplace. Journal of Computer Science and Technology. 2016 Nov 5;31(6):1110-1123. doi: 10.1007/s11390-016-1686-7

Author

Shen, Wei ; Dou, Wan-chun ; Wu, Fan et al. / Combined cloud : a mixture of voluntary cloud and reserved instance marketplace. In: Journal of Computer Science and Technology. 2016 ; Vol. 31, No. 6. pp. 1110-1123.

Bibtex

@article{7d4e9f0c2fc047c29d26c2b56939abbf,
title = "Combined cloud: a mixture of voluntary cloud and reserved instance marketplace",
abstract = "Voluntary cloud is a new paradigm of cloud computing.It provides an alternative selection along with some well-provisioned clouds.However,for the uncertain time span that participants share their computing resources in voluntary cloud,there are some challenging issues,i.e.,fluctuation,under-capacity and low-benefit.In this paper,an architecture is first proposed based on Bittorrent protocol.In this architecture,resources could be reserved or requested from Reserved Instance Marketplace and could be accessed with a lower price in a short circle.Actually,these resources could replenish the inadequate resource pool and relieve the fluctuation and under-capacity issue in voluntary cloud.Then,the fault rate of each node is used to evaluate the uncertainty of its sharing time.By leveraging a linear prediction model,it is enabled by a distribution function which is used for evaluating the computing capacity of the system.Moreover,the cost optimization problem is investigated and a computational method is presented to solve the low-benefit issue in voluntary cloud.At last,the system performance is validated by two sets of simulations.And the experimental results show the effectiveness of our computational method for resource reservation optimization.",
keywords = "voluntary cloud, system architecture, resource reservation",
author = "Wei Shen and Wan-chun Dou and Fan Wu and Shaojie Tang and Qiang Ni",
year = "2016",
month = nov,
day = "5",
doi = "10.1007/s11390-016-1686-7",
language = "English",
volume = "31",
pages = "1110--1123",
journal = "Journal of Computer Science and Technology",
issn = "1000-9000",
publisher = "Springer New York",
number = "6",

}

RIS

TY - JOUR

T1 - Combined cloud

T2 - a mixture of voluntary cloud and reserved instance marketplace

AU - Shen, Wei

AU - Dou, Wan-chun

AU - Wu, Fan

AU - Tang, Shaojie

AU - Ni, Qiang

PY - 2016/11/5

Y1 - 2016/11/5

N2 - Voluntary cloud is a new paradigm of cloud computing.It provides an alternative selection along with some well-provisioned clouds.However,for the uncertain time span that participants share their computing resources in voluntary cloud,there are some challenging issues,i.e.,fluctuation,under-capacity and low-benefit.In this paper,an architecture is first proposed based on Bittorrent protocol.In this architecture,resources could be reserved or requested from Reserved Instance Marketplace and could be accessed with a lower price in a short circle.Actually,these resources could replenish the inadequate resource pool and relieve the fluctuation and under-capacity issue in voluntary cloud.Then,the fault rate of each node is used to evaluate the uncertainty of its sharing time.By leveraging a linear prediction model,it is enabled by a distribution function which is used for evaluating the computing capacity of the system.Moreover,the cost optimization problem is investigated and a computational method is presented to solve the low-benefit issue in voluntary cloud.At last,the system performance is validated by two sets of simulations.And the experimental results show the effectiveness of our computational method for resource reservation optimization.

AB - Voluntary cloud is a new paradigm of cloud computing.It provides an alternative selection along with some well-provisioned clouds.However,for the uncertain time span that participants share their computing resources in voluntary cloud,there are some challenging issues,i.e.,fluctuation,under-capacity and low-benefit.In this paper,an architecture is first proposed based on Bittorrent protocol.In this architecture,resources could be reserved or requested from Reserved Instance Marketplace and could be accessed with a lower price in a short circle.Actually,these resources could replenish the inadequate resource pool and relieve the fluctuation and under-capacity issue in voluntary cloud.Then,the fault rate of each node is used to evaluate the uncertainty of its sharing time.By leveraging a linear prediction model,it is enabled by a distribution function which is used for evaluating the computing capacity of the system.Moreover,the cost optimization problem is investigated and a computational method is presented to solve the low-benefit issue in voluntary cloud.At last,the system performance is validated by two sets of simulations.And the experimental results show the effectiveness of our computational method for resource reservation optimization.

KW - voluntary cloud

KW - system architecture

KW - resource reservation

U2 - 10.1007/s11390-016-1686-7

DO - 10.1007/s11390-016-1686-7

M3 - Journal article

VL - 31

SP - 1110

EP - 1123

JO - Journal of Computer Science and Technology

JF - Journal of Computer Science and Technology

SN - 1000-9000

IS - 6

ER -