Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing

A. Young Son; Eui Nam Huh

doi:10.1109/ICUFN.2017.7993836

Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing

A. Young Son, Eui Nam Huh

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

4 Citations (Scopus)

Abstract

Migration contributes to efficient resource management in cloud computing environment. Therefore, migration is used in many areas such as load balancing in Cloud Data Centers (CDCs). However, most of the previous research has concentrated on minimization of migration time. Also, previous works generally did not consider balance between QoS metrics. Due to importance of balance of metrics, we have to consider combining multiple metrics. In this paper, we present QoS metrics of migration and proposed migration scheme based on fuzzy logic. The main goal of this paper is to apply fuzzy logic and machine learning technique for advanced migration.

Original language	English
Title of host publication	ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	507-512
Number of pages	6
ISBN (Electronic)	9781509047499
DOIs	https://doi.org/10.1109/ICUFN.2017.7993836
Publication status	Published - 26 Jul 2017
Event	9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy Duration: 4 Jul 2017 → 7 Jul 2017

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
Country/Territory	Italy
City	Milan
Period	4/07/17 → 7/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Cloud Data Center
Cloud computing
Fuzzy logic
Live Migration
Resource management
Virtual Machine

Access to Document

10.1109/ICUFN.2017.7993836

Cite this

Son, A. Y., & Huh, E. N. (2017). Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing. In ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks (pp. 507-512). Article 7993836 (International Conference on Ubiquitous and Future Networks, ICUFN). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2017.7993836

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abstract = "Migration contributes to efficient resource management in cloud computing environment. Therefore, migration is used in many areas such as load balancing in Cloud Data Centers (CDCs). However, most of the previous research has concentrated on minimization of migration time. Also, previous works generally did not consider balance between QoS metrics. Due to importance of balance of metrics, we have to consider combining multiple metrics. In this paper, we present QoS metrics of migration and proposed migration scheme based on fuzzy logic. The main goal of this paper is to apply fuzzy logic and machine learning technique for advanced migration.",

keywords = "Cloud Data Center, Cloud computing, Fuzzy logic, Live Migration, Resource management, Virtual Machine",

author = "Son, {A. Young} and Huh, {Eui Nam}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 ; Conference date: 04-07-2017 Through 07-07-2017",

year = "2017",

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doi = "10.1109/ICUFN.2017.7993836",

language = "English",

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Son, AY & Huh, EN 2017, Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing. in ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks., 7993836, International Conference on Ubiquitous and Future Networks, ICUFN, IEEE Computer Society, pp. 507-512, 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017, Milan, Italy, 4/07/17. https://doi.org/10.1109/ICUFN.2017.7993836

Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing. / Son, A. Young; Huh, Eui Nam.
ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2017. p. 507-512 7993836 (International Conference on Ubiquitous and Future Networks, ICUFN).

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

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AU - Huh, Eui Nam

PY - 2017/7/26

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N2 - Migration contributes to efficient resource management in cloud computing environment. Therefore, migration is used in many areas such as load balancing in Cloud Data Centers (CDCs). However, most of the previous research has concentrated on minimization of migration time. Also, previous works generally did not consider balance between QoS metrics. Due to importance of balance of metrics, we have to consider combining multiple metrics. In this paper, we present QoS metrics of migration and proposed migration scheme based on fuzzy logic. The main goal of this paper is to apply fuzzy logic and machine learning technique for advanced migration.

AB - Migration contributes to efficient resource management in cloud computing environment. Therefore, migration is used in many areas such as load balancing in Cloud Data Centers (CDCs). However, most of the previous research has concentrated on minimization of migration time. Also, previous works generally did not consider balance between QoS metrics. Due to importance of balance of metrics, we have to consider combining multiple metrics. In this paper, we present QoS metrics of migration and proposed migration scheme based on fuzzy logic. The main goal of this paper is to apply fuzzy logic and machine learning technique for advanced migration.

KW - Cloud Data Center

KW - Cloud computing

KW - Fuzzy logic

KW - Live Migration

KW - Resource management

KW - Virtual Machine

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M3 - Conference contribution

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T3 - International Conference on Ubiquitous and Future Networks, ICUFN

SP - 507

EP - 512

BT - ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks

PB - IEEE Computer Society

T2 - 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017

Y2 - 4 July 2017 through 7 July 2017

ER -

Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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