Block storage scheduling based on SLA in cloud storage systems

Byeong Hyeon Lee; Tae Geon Song; Deok Hwan Kim

doi:10.1145/3007818.3007825

Block storage scheduling based on SLA in cloud storage systems

Byeong Hyeon Lee, Tae Geon Song, Deok Hwan Kim

Inha University

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

1 Scopus citations

Abstract

According to the growth of the utilization of cloud computing, the required storage capacity is also increasing. The cloud computing services can allocate immediately storage volume according to user requirements, and cloud storage should be scalable. At the same time, cloud service providers have to minimize expenses by maximizing server resource utilization and minimizing power consumption. In this paper, we propose two scheduling methods, Two-variable best fit decreasing (TBFD) and Weighted best fit decreasing (WBFD), for maximizing block storage space utilization and minimizing SLA (Service Level Agreement) violation in the cloud storage infrastructure, OpenStack. Experimental results show that storage space utilization of all proposed methods are about 5% better than Cinder. And there was no SLA violation in TBFD in all cases whereas WBFD and Cinder has 26%, 13% SLA violation, respectively.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Emerging Databases
Subtitle of host publication	Technologies, Applications, and Theory, EDB 2016
Editors	Carson K. Leung
Publisher	Association for Computing Machinery
Pages	72-76
Number of pages	5
ISBN (Electronic)	9781450347549
DOIs	https://doi.org/10.1145/3007818.3007825
State	Published - 17 Oct 2016
Event	6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016 - Jeju Island, Korea, Republic of Duration: 17 Oct 2016 → 19 Oct 2016

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016
Country/Territory	Korea, Republic of
City	Jeju Island
Period	17/10/16 → 19/10/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

Block Storage
Cinder
Cloud Storage
OpenStack
SLA
Scheduling

Access to Document

10.1145/3007818.3007825

Cite this

Lee, B. H., Song, T. G., & Kim, D. H. (2016). Block storage scheduling based on SLA in cloud storage systems. In C. K. Leung (Ed.), Proceedings of the 6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016 (pp. 72-76). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3007818.3007825

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title = "Block storage scheduling based on SLA in cloud storage systems",

abstract = "According to the growth of the utilization of cloud computing, the required storage capacity is also increasing. The cloud computing services can allocate immediately storage volume according to user requirements, and cloud storage should be scalable. At the same time, cloud service providers have to minimize expenses by maximizing server resource utilization and minimizing power consumption. In this paper, we propose two scheduling methods, Two-variable best fit decreasing (TBFD) and Weighted best fit decreasing (WBFD), for maximizing block storage space utilization and minimizing SLA (Service Level Agreement) violation in the cloud storage infrastructure, OpenStack. Experimental results show that storage space utilization of all proposed methods are about 5% better than Cinder. And there was no SLA violation in TBFD in all cases whereas WBFD and Cinder has 26%, 13% SLA violation, respectively.",

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Lee, BH, Song, TG & Kim, DH 2016, Block storage scheduling based on SLA in cloud storage systems. in CK Leung (ed.), Proceedings of the 6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 72-76, 6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016, Jeju Island, Korea, Republic of, 17/10/16. https://doi.org/10.1145/3007818.3007825

Block storage scheduling based on SLA in cloud storage systems. / Lee, Byeong Hyeon; Song, Tae Geon; Kim, Deok Hwan.
Proceedings of the 6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016. ed. / Carson K. Leung. Association for Computing Machinery, 2016. p. 72-76 (ACM International Conference Proceeding Series).

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

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AU - Song, Tae Geon

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N2 - According to the growth of the utilization of cloud computing, the required storage capacity is also increasing. The cloud computing services can allocate immediately storage volume according to user requirements, and cloud storage should be scalable. At the same time, cloud service providers have to minimize expenses by maximizing server resource utilization and minimizing power consumption. In this paper, we propose two scheduling methods, Two-variable best fit decreasing (TBFD) and Weighted best fit decreasing (WBFD), for maximizing block storage space utilization and minimizing SLA (Service Level Agreement) violation in the cloud storage infrastructure, OpenStack. Experimental results show that storage space utilization of all proposed methods are about 5% better than Cinder. And there was no SLA violation in TBFD in all cases whereas WBFD and Cinder has 26%, 13% SLA violation, respectively.

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Block storage scheduling based on SLA in cloud storage systems

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Keywords

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