Selection of cloud service provider based on sampled non-functional attribute set

Mehul Mahrishi; Kamal Kant Hiran; Ruchi Doshi

doi:10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set

Mehul Mahrishi^*, Kamal Kant Hiran, Ruchi Doshi

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Citations (Scopus)

Abstract

The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.

Original language	English
Title of host publication	Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
Editors	Ajith Abraham, Patrick Siarry, Kun Ma, Arturas Kaklauskas
Number of pages	8
Publisher	Springer
Publication date	2021
Pages	641-648
ISBN (Print)	9783030493417
DOIs	https://doi.org/10.1007/978-3-030-49342-4_62
Publication status	Published - 2021
Event	19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 - Auburn, United States Duration: 3 Dec 2019 → 5 Dec 2019

Conference

Conference	19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
Country/Territory	United States
City	Auburn
Period	03/12/2019 → 05/12/2019

Series	Advances in Intelligent Systems and Computing
Volume	1181 AISC
ISSN	2194-5357

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Keywords

Cloud computing
Cloud service provider
Node information system
Resource allocation
Rough set theory
Virtual machine

Access to Document

10.1007/978-3-030-49342-4_62

AUB Link

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Cite this

Mahrishi, M., Hiran, K. K., & Doshi, R. (2021). Selection of cloud service provider based on sampled non-functional attribute set. In A. Abraham, P. Siarry, K. Ma, & A. Kaklauskas (Eds.), Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 (pp. 641-648). Springer. https://doi.org/10.1007/978-3-030-49342-4_62

Mahrishi, Mehul ; Hiran, Kamal Kant ; Doshi, Ruchi. / Selection of cloud service provider based on sampled non-functional attribute set. Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. editor / Ajith Abraham ; Patrick Siarry ; Kun Ma ; Arturas Kaklauskas. Springer, 2021. pp. 641-648 (Advances in Intelligent Systems and Computing, Vol. 1181 AISC).

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title = "Selection of cloud service provider based on sampled non-functional attribute set",

abstract = "The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.",

keywords = "Cloud computing, Cloud service provider, Node information system, Resource allocation, Rough set theory, Virtual machine",

author = "Mehul Mahrishi and Hiran, {Kamal Kant} and Ruchi Doshi",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.; 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 ; Conference date: 03-12-2019 Through 05-12-2019",

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Mahrishi, M, Hiran, KK & Doshi, R 2021, Selection of cloud service provider based on sampled non-functional attribute set. in A Abraham, P Siarry, K Ma & A Kaklauskas (eds), Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. Springer, Advances in Intelligent Systems and Computing, vol. 1181 AISC, pp. 641-648, 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019, Auburn, United States, 03/12/2019. https://doi.org/10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set. / Mahrishi, Mehul; Hiran, Kamal Kant; Doshi, Ruchi.
Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. ed. / Ajith Abraham; Patrick Siarry; Kun Ma; Arturas Kaklauskas. Springer, 2021. p. 641-648 (Advances in Intelligent Systems and Computing, Vol. 1181 AISC).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Hiran, Kamal Kant

AU - Doshi, Ruchi

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

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AB - The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.

KW - Cloud computing

KW - Cloud service provider

KW - Node information system

KW - Resource allocation

KW - Rough set theory

KW - Virtual machine

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M3 - Article in proceeding

AN - SCOPUS:85090050235

SN - 9783030493417

T3 - Advances in Intelligent Systems and Computing

SP - 641

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BT - Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019

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Mahrishi M, Hiran KK, Doshi R. Selection of cloud service provider based on sampled non-functional attribute set. In Abraham A, Siarry P, Ma K, Kaklauskas A, editors, Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. Springer. 2021. p. 641-648. (Advances in Intelligent Systems and Computing, Vol. 1181 AISC). doi: 10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set

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Bibliographical note

Keywords

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