Maximizing the availability of composable systems of next-generation data centers

Leylane Ferreira; Patricia Takako Endo; Glauco Goncalves; Daniel Rosendo; Guto Leoni Santos; Andre Moreira; Judith Kelner; Djamel Sadok; Mattias Wildeman; Amardeep Mehta

doi:10.1109/SMC.2019.8914382

Maximizing the availability of composable systems of next-generation data centers

Leylane Ferreira
, Patricia Takako Endo
, Glauco Goncalves
, Daniel Rosendo
, Guto Leoni Santos
, Andre Moreira
, Judith Kelner
, Djamel Sadok
, Mattias Wildeman
, Amardeep Mehta

Workflow and Ecosystem Services

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

3 Scopus citations

Abstract

The next-generation data center introduces the refactoring of the traditional data center in order to create pools of disaggregated resource units, such as processors, memory, storage, network, power, and cooling sources, named composable system (CSs) with the purpose of offering flexibility, automation, optimization, and scalability. In this paper, we solve an optimization problem to allocate CSs considering next-generation data centers. The main goal is to maximize the CS availability for the application owner, having its minimum requirements (in terms of CPU, memory, network and storage), and available budget as restrictions. This problem is modeled as a bounded multidimensional knapsack problem, and we solve it using Dynamic Programming (DP), and two Soft Computing approaches: Differential Evolution (DE) and Particle Swarm optimization (PSO). We consider two different scenarios in order to analyze heterogeneity and variability aspects when allocating CSs in a data center. Moreover, we also analyze the importance of system components to give directions and priorities of actions to upgrade the system design.

Original language	English
Title of host publication	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	573-580
Number of pages	8
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914382
State	Published - Oct 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: Oct 6 2019 → Oct 9 2019

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2019-October
ISSN (Print)	1062-922X

Conference

Conference	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country/Territory	Italy
City	Bari
Period	10/6/19 → 10/9/19

Funding

ACKNOWLEDGMENT This work was supported by the Research, Development and Innovation Center, Ericsson Telecomunicações S.A., Brazil.

Access to Document

10.1109/SMC.2019.8914382

Cite this

Ferreira, L., Endo, P. T., Goncalves, G., Rosendo, D., Santos, G. L., Moreira, A., Kelner, J., Sadok, D., Wildeman, M., & Mehta, A. (2019). Maximizing the availability of composable systems of next-generation data centers. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 573-580). Article 8914382 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2019.8914382

Ferreira, Leylane ; Endo, Patricia Takako ; Goncalves, Glauco et al. / Maximizing the availability of composable systems of next-generation data centers. 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 573-580 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

@inproceedings{14f72bf0cbc54bc5ac00fb198761c299,

title = "Maximizing the availability of composable systems of next-generation data centers",

abstract = "The next-generation data center introduces the refactoring of the traditional data center in order to create pools of disaggregated resource units, such as processors, memory, storage, network, power, and cooling sources, named composable system (CSs) with the purpose of offering flexibility, automation, optimization, and scalability. In this paper, we solve an optimization problem to allocate CSs considering next-generation data centers. The main goal is to maximize the CS availability for the application owner, having its minimum requirements (in terms of CPU, memory, network and storage), and available budget as restrictions. This problem is modeled as a bounded multidimensional knapsack problem, and we solve it using Dynamic Programming (DP), and two Soft Computing approaches: Differential Evolution (DE) and Particle Swarm optimization (PSO). We consider two different scenarios in order to analyze heterogeneity and variability aspects when allocating CSs in a data center. Moreover, we also analyze the importance of system components to give directions and priorities of actions to upgrade the system design.",

author = "Leylane Ferreira and Endo, \{Patricia Takako\} and Glauco Goncalves and Daniel Rosendo and Santos, \{Guto Leoni\} and Andre Moreira and Judith Kelner and Djamel Sadok and Mattias Wildeman and Amardeep Mehta",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",

year = "2019",

month = oct,

doi = "10.1109/SMC.2019.8914382",

language = "English",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "573--580",

booktitle = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019",

}

Ferreira, L, Endo, PT, Goncalves, G, Rosendo, D, Santos, GL, Moreira, A, Kelner, J, Sadok, D, Wildeman, M & Mehta, A 2019, Maximizing the availability of composable systems of next-generation data centers. in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019., 8914382, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 573-580, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 10/6/19. https://doi.org/10.1109/SMC.2019.8914382

Maximizing the availability of composable systems of next-generation data centers. / Ferreira, Leylane; Endo, Patricia Takako; Goncalves, Glauco et al.
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 573-580 8914382 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October).

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

TY - GEN

T1 - Maximizing the availability of composable systems of next-generation data centers

AU - Ferreira, Leylane

AU - Endo, Patricia Takako

AU - Goncalves, Glauco

AU - Rosendo, Daniel

AU - Santos, Guto Leoni

AU - Moreira, Andre

AU - Kelner, Judith

AU - Sadok, Djamel

AU - Wildeman, Mattias

AU - Mehta, Amardeep

PY - 2019/10

Y1 - 2019/10

N2 - The next-generation data center introduces the refactoring of the traditional data center in order to create pools of disaggregated resource units, such as processors, memory, storage, network, power, and cooling sources, named composable system (CSs) with the purpose of offering flexibility, automation, optimization, and scalability. In this paper, we solve an optimization problem to allocate CSs considering next-generation data centers. The main goal is to maximize the CS availability for the application owner, having its minimum requirements (in terms of CPU, memory, network and storage), and available budget as restrictions. This problem is modeled as a bounded multidimensional knapsack problem, and we solve it using Dynamic Programming (DP), and two Soft Computing approaches: Differential Evolution (DE) and Particle Swarm optimization (PSO). We consider two different scenarios in order to analyze heterogeneity and variability aspects when allocating CSs in a data center. Moreover, we also analyze the importance of system components to give directions and priorities of actions to upgrade the system design.

AB - The next-generation data center introduces the refactoring of the traditional data center in order to create pools of disaggregated resource units, such as processors, memory, storage, network, power, and cooling sources, named composable system (CSs) with the purpose of offering flexibility, automation, optimization, and scalability. In this paper, we solve an optimization problem to allocate CSs considering next-generation data centers. The main goal is to maximize the CS availability for the application owner, having its minimum requirements (in terms of CPU, memory, network and storage), and available budget as restrictions. This problem is modeled as a bounded multidimensional knapsack problem, and we solve it using Dynamic Programming (DP), and two Soft Computing approaches: Differential Evolution (DE) and Particle Swarm optimization (PSO). We consider two different scenarios in order to analyze heterogeneity and variability aspects when allocating CSs in a data center. Moreover, we also analyze the importance of system components to give directions and priorities of actions to upgrade the system design.

UR - https://www.scopus.com/pages/publications/85076759689

U2 - 10.1109/SMC.2019.8914382

DO - 10.1109/SMC.2019.8914382

M3 - Conference contribution

AN - SCOPUS:85076759689

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 573

EP - 580

BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019

Y2 - 6 October 2019 through 9 October 2019

ER -

Ferreira L, Endo PT, Goncalves G, Rosendo D, Santos GL, Moreira A et al. Maximizing the availability of composable systems of next-generation data centers. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 573-580. 8914382. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC.2019.8914382

Maximizing the availability of composable systems of next-generation data centers

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this