Byzantine fault tolerant optimization in federated cloud computing

Hojjat Baghban; Mahdis Moradi; Ching Hsien Hsu; Jerry Chou; Yeh Ching Chung

doi:10.1109/CIT.2016.114

Byzantine fault tolerant optimization in federated cloud computing

Hojjat Baghban
, Mahdis Moradi
, Ching Hsien Hsu^*
, Jerry Chou
, Yeh Ching Chung

^*此作品的通信作者

National Tsing Hua University
Islamic Azad University
Chung Hua University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

Cloud computing is a forthcoming revolution in information technology industry because of its performance, accessibility and, low cost. It is appropriate to maximize the capacity or step up capabilities vigorously without investing in new infrastructure, nurturing new personnel or licensing new software. The federated cloud, which is the combination of more than one cloud, is the next logical step after hybrid cloud and there are many indicators that are showing more requirements for such a model. Security is the challenging issue in all cloud infrastructures such as single cloud and federated cloud. And, it is significant in distributed systems which have highly fault tolerant. One of the algorithms for this issue is Byzantine Fault Tolerant. This paper introduces a new method, that optimizes the Byzantine Fault Tolerant and decrease the latency, and detecting the number of faults.

原文	英語
主出版物標題	Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	658-661
頁數	4
ISBN（電子）	9781509043149
DOIs	https://doi.org/10.1109/CIT.2016.114
出版狀態	已出版 - 10 03 2017
對外發佈	是
事件	16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, 斐濟持續時間: 07 12 2016 → 10 12 2016

出版系列

名字	Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016

Conference

Conference	16th IEEE International Conference on Computer and Information Technology, CIT 2016
國家/地區	斐濟
城市	Nadi
期間	07/12/16 → 10/12/16

文獻附註

Publisher Copyright:
© 2016 IEEE.

UN SDG

此研究成果有助於以下永續發展目標

SDG9 工業、創新基礎建設

存取文件

10.1109/CIT.2016.114

其它文件與鏈接

Link to publication in Scopus

引用此

Baghban, H., Moradi, M., Hsu, C. H., Chou, J., & Chung, Y. C. (2017). Byzantine fault tolerant optimization in federated cloud computing. 於 Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016 (頁 658-661). 文章 7876402 (Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT.2016.114

Baghban, Hojjat ; Moradi, Mahdis ; Hsu, Ching Hsien 等. / Byzantine fault tolerant optimization in federated cloud computing. Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 頁 658-661 (Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016).

@inproceedings{c8ee49f696e74a29b6484a8da3f399f5,

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abstract = "Cloud computing is a forthcoming revolution in information technology industry because of its performance, accessibility and, low cost. It is appropriate to maximize the capacity or step up capabilities vigorously without investing in new infrastructure, nurturing new personnel or licensing new software. The federated cloud, which is the combination of more than one cloud, is the next logical step after hybrid cloud and there are many indicators that are showing more requirements for such a model. Security is the challenging issue in all cloud infrastructures such as single cloud and federated cloud. And, it is significant in distributed systems which have highly fault tolerant. One of the algorithms for this issue is Byzantine Fault Tolerant. This paper introduces a new method, that optimizes the Byzantine Fault Tolerant and decrease the latency, and detecting the number of faults.",

keywords = "Byzantine fault tolerant, Fault tolerant, Multi cloud, Security",

author = "Hojjat Baghban and Mahdis Moradi and Hsu, \{Ching Hsien\} and Jerry Chou and Chung, \{Yeh Ching\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 16th IEEE International Conference on Computer and Information Technology, CIT 2016 ; Conference date: 07-12-2016 Through 10-12-2016",

year = "2017",

month = mar,

day = "10",

doi = "10.1109/CIT.2016.114",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "658--661",

booktitle = "Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016",

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Baghban, H, Moradi, M, Hsu, CH, Chou, J & Chung, YC 2017, Byzantine fault tolerant optimization in federated cloud computing. 於 Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016., 7876402, Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016, Institute of Electrical and Electronics Engineers Inc., 頁 658-661, 16th IEEE International Conference on Computer and Information Technology, CIT 2016, Nadi, 斐濟, 07/12/16. https://doi.org/10.1109/CIT.2016.114

Byzantine fault tolerant optimization in federated cloud computing. / Baghban, Hojjat; Moradi, Mahdis; Hsu, Ching Hsien 等.
Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 658-661 7876402 (Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Byzantine fault tolerant optimization in federated cloud computing

AU - Baghban, Hojjat

AU - Moradi, Mahdis

AU - Hsu, Ching Hsien

AU - Chou, Jerry

AU - Chung, Yeh Ching

PY - 2017/3/10

Y1 - 2017/3/10

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AB - Cloud computing is a forthcoming revolution in information technology industry because of its performance, accessibility and, low cost. It is appropriate to maximize the capacity or step up capabilities vigorously without investing in new infrastructure, nurturing new personnel or licensing new software. The federated cloud, which is the combination of more than one cloud, is the next logical step after hybrid cloud and there are many indicators that are showing more requirements for such a model. Security is the challenging issue in all cloud infrastructures such as single cloud and federated cloud. And, it is significant in distributed systems which have highly fault tolerant. One of the algorithms for this issue is Byzantine Fault Tolerant. This paper introduces a new method, that optimizes the Byzantine Fault Tolerant and decrease the latency, and detecting the number of faults.

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KW - Fault tolerant

KW - Multi cloud

KW - Security

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 7 December 2016 through 10 December 2016

ER -

Baghban H, Moradi M, Hsu CH, Chou J, Chung YC. Byzantine fault tolerant optimization in federated cloud computing. 於 Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 658-661. 7876402. (Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016). doi: 10.1109/CIT.2016.114

Byzantine fault tolerant optimization in federated cloud computing

摘要

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