An optimal recovery time method in cloud computing

Pham Phuoc Hung; Tuan Anh Bui; Eui Nam Huh

doi:10.1007/978-3-662-45402-2_104

An optimal recovery time method in cloud computing

Pham Phuoc Hung
, Tuan Anh Bui
, Eui Nam Huh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we introduce a task scheduling methodology to help systems to resiliently maintain their availability and reliability. Particularly, this method can quickly improve system recovery from failures as well as achieve an optimized performance while considering the customers’ monetary cost and network condition. As comparison is made between our work and some similar existing approaches, apparently, it shows that ours has higher effectiveness and efficiency than the other ones.

Original language	English
Title of host publication	Computer Science and Its Applications - Ubiquitous Information Technologies
Editors	Hwa Young Jeong, Ivan Stojmenovic, James J. Park, Gangman Yi
Publisher	Springer Verlag
Pages	737-745
Number of pages	9
ISBN (Electronic)	9783662454015
DOIs	https://doi.org/10.1007/978-3-662-45402-2_104
Publication status	Published - 2015
Event	6th FTRA International Conference on Computer Science and its Applications, CSA 2014 - Guam, United States Duration: 17 Dec 2014 → 19 Dec 2014

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	330
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th FTRA International Conference on Computer Science and its Applications, CSA 2014
Country/Territory	United States
City	Guam
Period	17/12/14 → 19/12/14

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.

Keywords

Big data
Cloud
Parallel computing
Recovery time
Task scheduling

Access to Document

10.1007/978-3-662-45402-2_104

Cite this

@inproceedings{d1030f3b1b0b4f9c9c4df4742926b19b,

title = "An optimal recovery time method in cloud computing",

abstract = "In this paper, we introduce a task scheduling methodology to help systems to resiliently maintain their availability and reliability. Particularly, this method can quickly improve system recovery from failures as well as achieve an optimized performance while considering the customers{\textquoteright} monetary cost and network condition. As comparison is made between our work and some similar existing approaches, apparently, it shows that ours has higher effectiveness and efficiency than the other ones.",

keywords = "Big data, Cloud, Parallel computing, Recovery time, Task scheduling",

author = "Hung, \{Pham Phuoc\} and Bui, \{Tuan Anh\} and Huh, \{Eui Nam\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 6th FTRA International Conference on Computer Science and its Applications, CSA 2014 ; Conference date: 17-12-2014 Through 19-12-2014",

year = "2015",

doi = "10.1007/978-3-662-45402-2\_104",

language = "English",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "737--745",

editor = "Jeong, \{Hwa Young\} and Ivan Stojmenovic and Park, \{James J.\} and Gangman Yi",

booktitle = "Computer Science and Its Applications - Ubiquitous Information Technologies",

address = "Germany",

}

Hung, PP, Bui, TA & Huh, EN 2015, An optimal recovery time method in cloud computing. in HY Jeong, I Stojmenovic, JJ Park & G Yi (eds), Computer Science and Its Applications - Ubiquitous Information Technologies. Lecture Notes in Electrical Engineering, vol. 330, Springer Verlag, pp. 737-745, 6th FTRA International Conference on Computer Science and its Applications, CSA 2014, Guam, United States, 17/12/14. https://doi.org/10.1007/978-3-662-45402-2_104

An optimal recovery time method in cloud computing. / Hung, Pham Phuoc; Bui, Tuan Anh; Huh, Eui Nam.
Computer Science and Its Applications - Ubiquitous Information Technologies. ed. / Hwa Young Jeong; Ivan Stojmenovic; James J. Park; Gangman Yi. Springer Verlag, 2015. p. 737-745 (Lecture Notes in Electrical Engineering; Vol. 330).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An optimal recovery time method in cloud computing

AU - Hung, Pham Phuoc

AU - Bui, Tuan Anh

AU - Huh, Eui Nam

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

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AB - In this paper, we introduce a task scheduling methodology to help systems to resiliently maintain their availability and reliability. Particularly, this method can quickly improve system recovery from failures as well as achieve an optimized performance while considering the customers’ monetary cost and network condition. As comparison is made between our work and some similar existing approaches, apparently, it shows that ours has higher effectiveness and efficiency than the other ones.

KW - Big data

KW - Cloud

KW - Parallel computing

KW - Recovery time

KW - Task scheduling

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U2 - 10.1007/978-3-662-45402-2_104

DO - 10.1007/978-3-662-45402-2_104

M3 - Conference contribution

AN - SCOPUS:84915750967

T3 - Lecture Notes in Electrical Engineering

SP - 737

EP - 745

BT - Computer Science and Its Applications - Ubiquitous Information Technologies

A2 - Jeong, Hwa Young

A2 - Stojmenovic, Ivan

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PB - Springer Verlag

T2 - 6th FTRA International Conference on Computer Science and its Applications, CSA 2014

Y2 - 17 December 2014 through 19 December 2014

ER -

An optimal recovery time method in cloud computing

Abstract

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Bibliographical note

Keywords

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