A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud

Adnan Ashraf; Benjamin Byholm; Ivan Porres Paltor

doi:10.1109/UCC.2015.54

A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud

Adnan Ashraf, Benjamin Byholm, Ivan Porres Paltor

Forskningsoutput: Kapitel i bok/konferenshandling › Publicerad konferensartikel › Vetenskaplig › Peer review

5 Citeringar (Scopus)

22 Nedladdningar (Pure)

Sammanfattning

In this paper, we present a novel Multi-Objective Ant Colony System algorithm to optimize Cost, Performance, and Reliability (MOACS-CoPeR) in the cloud. The proposed algorithm provides a metaheuristic-based approach for the multi-objective cloud-based software component deployment problem. MOACS-CoPeR explores the search-space of architecture design alternatives with respect to several architectural degrees of freedom and produces a set of Pareto-optimal deployment configurations. We also present a Java-based implementation of our proposed algorithm and compare its results with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). We evaluate the two algorithms against a cloud-based storage service, which is loosely based on a real system.

Originalspråk	Odefinierat/okänt
Titel på värdpublikation	8th IEEE/ACM International Conference on Utility and Cloud Computing
Redaktörer	Omer Rana, Manish Parashar
Förlag	ACM
Sidor	341–347
ISBN (tryckt)	978-1-4503-3890-5
DOI	https://doi.org/10.1109/UCC.2015.54
Status	Publicerad - 2015
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	IEEE/ACM International Conference on Utility and Cloud Computing - 8th IEEE/ACM International Conference on Utility and Cloud Computing Varaktighet: 7 dec. 2015 → 10 dec. 2015

Konferens

Konferens	IEEE/ACM International Conference on Utility and Cloud Computing
Period	07/12/15 → 10/12/15

Nyckelord

Cloud computing
Multi-objective optimization
Software component deployment
ant colony optimization (ACO)

Åtkomst av dokument

10.1109/UCC.2015.54

UCC2015WithCR.pdf

N4S: Need for Speed
Porres Paltor, I. (Ansvarig forskare), Nybom, K. (CoI), Truscan, D. (CoI), Ashraf, A. (CoI), Troubitsyna, E. (CoI), Byholm, B. (CoI), Rauf, I. M. (CoI) & Ahmad, T. (CoI)
01/01/14 → 31/12/16
Projekt: Företag/Business Finland

Citera det här

@inproceedings{671c48c6717e4dedb97bf9fb263993a4,

title = "A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud",

abstract = "In this paper, we present a novel Multi-Objective Ant Colony System algorithm to optimize Cost, Performance, and Reliability (MOACS-CoPeR) in the cloud. The proposed algorithm provides a metaheuristic-based approach for the multi-objective cloud-based software component deployment problem. MOACS-CoPeR explores the search-space of architecture design alternatives with respect to several architectural degrees of freedom and produces a set of Pareto-optimal deployment configurations. We also present a Java-based implementation of our proposed algorithm and compare its results with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). We evaluate the two algorithms against a cloud-based storage service, which is loosely based on a real system.",

keywords = "Cloud computing, Multi-objective optimization, Software component deployment, ant colony optimization (ACO), Cloud computing, Multi-objective optimization, Software component deployment, ant colony optimization (ACO), Cloud computing, Multi-objective optimization, Software component deployment, ant colony optimization (ACO)",

author = "Adnan Ashraf and Benjamin Byholm and {Porres Paltor}, Ivan",

year = "2015",

doi = "10.1109/UCC.2015.54",

language = "Odefinierat/ok{\"a}nt",

isbn = "978-1-4503-3890-5",

pages = "341–347",

editor = "Omer Rana and Manish Parashar",

booktitle = "8th IEEE/ACM International Conference on Utility and Cloud Computing",

publisher = "ACM",

note = "IEEE/ACM International Conference on Utility and Cloud Computing ; Conference date: 07-12-2015 Through 10-12-2015",

}

A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud. / Ashraf, Adnan; Byholm, Benjamin; Porres Paltor, Ivan.
8th IEEE/ACM International Conference on Utility and Cloud Computing. red. / Omer Rana; Manish Parashar. ACM, 2015. s. 341–347.

Forskningsoutput: Kapitel i bok/konferenshandling › Publicerad konferensartikel › Vetenskaplig › Peer review

TY - GEN

T1 - A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud

AU - Ashraf, Adnan

AU - Byholm, Benjamin

AU - Porres Paltor, Ivan

PY - 2015

Y1 - 2015

N2 - In this paper, we present a novel Multi-Objective Ant Colony System algorithm to optimize Cost, Performance, and Reliability (MOACS-CoPeR) in the cloud. The proposed algorithm provides a metaheuristic-based approach for the multi-objective cloud-based software component deployment problem. MOACS-CoPeR explores the search-space of architecture design alternatives with respect to several architectural degrees of freedom and produces a set of Pareto-optimal deployment configurations. We also present a Java-based implementation of our proposed algorithm and compare its results with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). We evaluate the two algorithms against a cloud-based storage service, which is loosely based on a real system.

AB - In this paper, we present a novel Multi-Objective Ant Colony System algorithm to optimize Cost, Performance, and Reliability (MOACS-CoPeR) in the cloud. The proposed algorithm provides a metaheuristic-based approach for the multi-objective cloud-based software component deployment problem. MOACS-CoPeR explores the search-space of architecture design alternatives with respect to several architectural degrees of freedom and produces a set of Pareto-optimal deployment configurations. We also present a Java-based implementation of our proposed algorithm and compare its results with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). We evaluate the two algorithms against a cloud-based storage service, which is loosely based on a real system.

KW - Cloud computing

KW - Multi-objective optimization

KW - Software component deployment

KW - ant colony optimization (ACO)

KW - Cloud computing

KW - Multi-objective optimization

KW - Software component deployment

KW - ant colony optimization (ACO)

KW - Cloud computing

KW - Multi-objective optimization

KW - Software component deployment

KW - ant colony optimization (ACO)

U2 - 10.1109/UCC.2015.54

DO - 10.1109/UCC.2015.54

M3 - Publicerad konferensartikel

SN - 978-1-4503-3890-5

SP - 341

EP - 347

BT - 8th IEEE/ACM International Conference on Utility and Cloud Computing

A2 - Rana, Omer

A2 - Parashar, Manish

PB - ACM

T2 - IEEE/ACM International Conference on Utility and Cloud Computing

Y2 - 7 December 2015 through 10 December 2015

ER -

A Multi-Objective ACS Algorithm to Optimize Cost, Performance, and Reliability in the Cloud

Sammanfattning

Konferens

Nyckelord

Åtkomst av dokument

Projekt

N4S: Need for Speed

Citera det här