A planning tool supporting the deployment of cloud applications

Tudor A. Lascu; Jacopo Mauro; Gianluigi Zavattaro

doi:10.1109/ICTAI.2013.41

A planning tool supporting the deployment of cloud applications

Tudor A. Lascu, Jacopo Mauro, Gianluigi Zavattaro

University of Bologna

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

Abstract

Cloud computing offers the possibility to build sophisticatedsoftware systems on virtualized infrastructures at a fractionof the cost necessary just a few years ago. Nevertheless, thedeployment of such complex systems is a serious issue due tothe large number of involved software packages and services, and to their elaborated interdependencies. In this paper weaddress the challenge of automatizing this complex deploy-ment process. We first formalize it as a planning problem andobserve that standard planning tools can effectively solve itonly on small and trivial instances. For this reason, we proposean ad hoc planning technique which we validate by meansof a prototype implementation able to effectively solve thisdeployment problem also on instances of realistic size.

Original language	English
Title of host publication	Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013
Number of pages	8
Publication date	1. Dec 2013
Pages	213-220
Article number	6735252
ISBN (Print)	9781479929719
DOIs	https://doi.org/10.1109/ICTAI.2013.41
Publication status	Published - 1. Dec 2013
Externally published	Yes
Event	25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013 - Washington, DC, United States Duration: 4. Nov 2013 → 6. Nov 2013

Conference

Conference	25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013
Country/Territory	United States
City	Washington, DC
Period	04/11/2013 → 06/11/2013
Sponsor	Biological and Artificial Intelligence Foundation (BAIF), IEEE Computer Society, ATRC at Wright State University, George Mason University, IEEE in NJ

Series	Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI
ISSN	1082-3409

Documents & Links

10.1109/ICTAI.2013.41

Cite this

@inproceedings{3804d2d3d9d1438e98abe562c912f10d,

title = "A planning tool supporting the deployment of cloud applications",

abstract = "Cloud computing offers the possibility to build sophisticatedsoftware systems on virtualized infrastructures at a fractionof the cost necessary just a few years ago. Nevertheless, thedeployment of such complex systems is a serious issue due tothe large number of involved software packages and services, and to their elaborated interdependencies. In this paper weaddress the challenge of automatizing this complex deploy-ment process. We first formalize it as a planning problem andobserve that standard planning tools can effectively solve itonly on small and trivial instances. For this reason, we proposean ad hoc planning technique which we validate by meansof a prototype implementation able to effectively solve thisdeployment problem also on instances of realistic size.",

author = "Lascu, {Tudor A.} and Jacopo Mauro and Gianluigi Zavattaro",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/ICTAI.2013.41",

language = "English",

isbn = "9781479929719",

series = "Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI",

publisher = "IEEE",

pages = "213--220",

booktitle = "Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013",

note = "25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013 ; Conference date: 04-11-2013 Through 06-11-2013",

}

Lascu, TA, Mauro, J & Zavattaro, G 2013, A planning tool supporting the deployment of cloud applications. in Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013., 6735252, Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI, pp. 213-220, 25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013, Washington, DC, United States, 04/11/2013. https://doi.org/10.1109/ICTAI.2013.41

A planning tool supporting the deployment of cloud applications. / Lascu, Tudor A.; Mauro, Jacopo; Zavattaro, Gianluigi.
Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013. 2013. p. 213-220 6735252 (Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI).

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

TY - GEN

T1 - A planning tool supporting the deployment of cloud applications

AU - Lascu, Tudor A.

AU - Mauro, Jacopo

AU - Zavattaro, Gianluigi

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Cloud computing offers the possibility to build sophisticatedsoftware systems on virtualized infrastructures at a fractionof the cost necessary just a few years ago. Nevertheless, thedeployment of such complex systems is a serious issue due tothe large number of involved software packages and services, and to their elaborated interdependencies. In this paper weaddress the challenge of automatizing this complex deploy-ment process. We first formalize it as a planning problem andobserve that standard planning tools can effectively solve itonly on small and trivial instances. For this reason, we proposean ad hoc planning technique which we validate by meansof a prototype implementation able to effectively solve thisdeployment problem also on instances of realistic size.

AB - Cloud computing offers the possibility to build sophisticatedsoftware systems on virtualized infrastructures at a fractionof the cost necessary just a few years ago. Nevertheless, thedeployment of such complex systems is a serious issue due tothe large number of involved software packages and services, and to their elaborated interdependencies. In this paper weaddress the challenge of automatizing this complex deploy-ment process. We first formalize it as a planning problem andobserve that standard planning tools can effectively solve itonly on small and trivial instances. For this reason, we proposean ad hoc planning technique which we validate by meansof a prototype implementation able to effectively solve thisdeployment problem also on instances of realistic size.

U2 - 10.1109/ICTAI.2013.41

DO - 10.1109/ICTAI.2013.41

M3 - Article in proceedings

AN - SCOPUS:84897677718

SN - 9781479929719

T3 - Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI

SP - 213

EP - 220

BT - Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013

T2 - 25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013

Y2 - 4 November 2013 through 6 November 2013

ER -

A planning tool supporting the deployment of cloud applications

Abstract

Conference

Documents & Links

Fingerprint

Cite this